Mock Version: 3.5 Mock Version: 3.5 Mock Version: 3.5 ENTER ['do_with_status'](['bash', '--login', '-c', '/usr/bin/rpmbuild -bs --noclean --target x86_64 --nodeps /builddir/build/SPECS/pytorch.spec'], chrootPath='/var/lib/mock/dist-an23-epao-build-327398-69081/root'env={'TERM': 'vt100', 'SHELL': '/bin/bash', 'HOME': '/builddir', 'HOSTNAME': 'mock', 'PATH': '/usr/bin:/bin:/usr/sbin:/sbin', 'PROMPT_COMMAND': 'printf "\\033]0;\\007"', 'PS1': ' \\s-\\v\\$ ', 'LANG': 'C.UTF-8'}shell=Falselogger=timeout=86400uid=990gid=135user='mockbuild'nspawn_args=[]unshare_net=TrueprintOutput=False) Executing command: ['bash', '--login', '-c', '/usr/bin/rpmbuild -bs --noclean --target x86_64 --nodeps /builddir/build/SPECS/pytorch.spec'] with env {'TERM': 'vt100', 'SHELL': '/bin/bash', 'HOME': '/builddir', 'HOSTNAME': 'mock', 'PATH': '/usr/bin:/bin:/usr/sbin:/sbin', 'PROMPT_COMMAND': 'printf "\\033]0;\\007"', 'PS1': ' \\s-\\v\\$ ', 'LANG': 'C.UTF-8'} and shell False warning: %patchN is deprecated (1 usages found), use %patch N (or %patch -P N) Building target platforms: x86_64 Building for target x86_64 setting SOURCE_DATE_EPOCH=1698883200 Wrote: /builddir/build/SRPMS/pytorch-2.0.1-4.an23.src.rpm RPM build warnings: %patchN is deprecated (1 usages found), use %patch N (or %patch -P N) Child return code was: 0 ENTER ['do_with_status'](['bash', '--login', '-c', '/usr/bin/rpmbuild -bb --noclean --target x86_64 --nodeps /builddir/build/SPECS/pytorch.spec'], chrootPath='/var/lib/mock/dist-an23-epao-build-327398-69081/root'env={'TERM': 'vt100', 'SHELL': '/bin/bash', 'HOME': '/builddir', 'HOSTNAME': 'mock', 'PATH': '/usr/bin:/bin:/usr/sbin:/sbin', 'PROMPT_COMMAND': 'printf "\\033]0;\\007"', 'PS1': ' \\s-\\v\\$ ', 'LANG': 'C.UTF-8'}shell=Falselogger=timeout=86400uid=990gid=135user='mockbuild'nspawn_args=[]unshare_net=TrueprintOutput=False) Executing command: ['bash', '--login', '-c', '/usr/bin/rpmbuild -bb --noclean --target x86_64 --nodeps /builddir/build/SPECS/pytorch.spec'] with env {'TERM': 'vt100', 'SHELL': '/bin/bash', 'HOME': '/builddir', 'HOSTNAME': 'mock', 'PATH': '/usr/bin:/bin:/usr/sbin:/sbin', 'PROMPT_COMMAND': 'printf "\\033]0;\\007"', 'PS1': ' \\s-\\v\\$ ', 'LANG': 'C.UTF-8'} and shell False warning: %patchN is deprecated (1 usages found), use %patch N (or %patch -P N) Building target platforms: x86_64 Building for target x86_64 setting SOURCE_DATE_EPOCH=1698883200 Executing(%prep): /bin/sh -e /var/tmp/rpm-tmp.nYYVJz + umask 022 + cd /builddir/build/BUILD + cd /builddir/build/BUILD + rm -rf pytorch-v2.0.1 + /usr/lib/rpm/rpmuncompress -x /builddir/build/SOURCES/pytorch-v2.0.1.tar.gz + STATUS=0 + '[' 0 -ne 0 ']' + cd pytorch-v2.0.1 + /usr/bin/chmod -Rf a+rX,u+w,g-w,o-w . Patch #0 (0001-Workaround-NVCC-parse-failure-in-cast_op.patch): + echo 'Patch #0 (0001-Workaround-NVCC-parse-failure-in-cast_op.patch):' + /usr/bin/patch --no-backup-if-mismatch -f -p1 --fuzz=0 patching file third_party/pybind11/include/pybind11/cast.h + RPM_EC=0 ++ jobs -p + exit 0 Executing(%build): /bin/sh -e /var/tmp/rpm-tmp.oRmi7c + umask 022 + cd /builddir/build/BUILD + CFLAGS='-O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection' + export CFLAGS + CXXFLAGS='-O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection' + export CXXFLAGS + FFLAGS='-O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -I/usr/lib64/gfortran/modules' + export FFLAGS + FCFLAGS='-O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -I/usr/lib64/gfortran/modules' + export FCFLAGS + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,--build-id=sha1 ' + export LDFLAGS + LT_SYS_LIBRARY_PATH=/usr/lib64: + export LT_SYS_LIBRARY_PATH + CC=gcc + export CC + CXX=g++ + export CXX + cd pytorch-v2.0.1 + export BUILD_TEST=False + BUILD_TEST=False + export PYTORCH_BUILD_VERSION=2.0.1 + PYTORCH_BUILD_VERSION=2.0.1 + export PYTORCH_BUILD_NUMBER=1 + PYTORCH_BUILD_NUMBER=1 + export CUDAARCHS=all + CUDAARCHS=all + export CMAKE_CUDA_COMPILER=/usr/local/cuda-12.1/bin/nvcc + CMAKE_CUDA_COMPILER=/usr/local/cuda-12.1/bin/nvcc + export 'TORCH_CUDA_ARCH_LIST=6.0;6.1;7.0;7.5;8.0;8.6' + TORCH_CUDA_ARCH_LIST='6.0;6.1;7.0;7.5;8.0;8.6' + export 'CFLAGS=-O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -Wno-maybe-uninitialized -Wno-uninitialized -Wno-free-nonheap-object -Wno-restrict' + CFLAGS='-O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -Wno-maybe-uninitialized -Wno-uninitialized -Wno-free-nonheap-object -Wno-restrict' + export 'CXXFLAGS=-O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -Wno-maybe-uninitialized -Wno-uninitialized -Wno-free-nonheap-object -Wno-restrict' + CXXFLAGS='-O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -Wno-maybe-uninitialized -Wno-uninitialized -Wno-free-nonheap-object -Wno-restrict' + python3 setup.py build -- The CXX compiler identification is GNU 12.2.1 -- The C compiler identification is GNU 12.2.1 -- Detecting CXX compiler ABI info -- Detecting CXX compiler ABI info - done -- Check for working CXX compiler: /usr/bin/g++ - skipped -- Detecting CXX compile features -- Detecting CXX compile features - done -- Detecting C compiler ABI info -- Detecting C compiler ABI info - done -- Check for working C compiler: /usr/bin/gcc - skipped -- Detecting C compile features -- Detecting C compile features - done -- /usr/bin/g++ /builddir/build/BUILD/pytorch-v2.0.1/torch/abi-check.cpp -o /builddir/build/BUILD/pytorch-v2.0.1/build/abi-check -- Determined _GLIBCXX_USE_CXX11_ABI=1 -- Not forcing any particular BLAS to be found -- Could not find ccache. Consider installing ccache to speed up compilation. -- Performing Test COMPILER_WORKS -- Performing Test COMPILER_WORKS - Success -- Performing Test CAFFE2_NEED_TO_TURN_OFF_DEPRECATION_WARNING -- Performing Test CAFFE2_NEED_TO_TURN_OFF_DEPRECATION_WARNING - Failed -- Turning off deprecation warning due to glog. -- Performing Test C_HAS_AVX_1 -- Performing Test C_HAS_AVX_1 - Failed -- Performing Test C_HAS_AVX_2 -- Performing Test C_HAS_AVX_2 - Success -- Performing Test C_HAS_AVX2_1 -- Performing Test C_HAS_AVX2_1 - Failed -- Performing Test C_HAS_AVX2_2 -- Performing Test C_HAS_AVX2_2 - Success -- Performing Test C_HAS_AVX512_1 -- Performing Test C_HAS_AVX512_1 - Failed -- Performing Test C_HAS_AVX512_2 -- Performing Test C_HAS_AVX512_2 - Success -- Performing Test CXX_HAS_AVX_1 -- Performing Test CXX_HAS_AVX_1 - Failed -- Performing Test CXX_HAS_AVX_2 -- Performing Test CXX_HAS_AVX_2 - Success -- Performing Test CXX_HAS_AVX2_1 -- Performing Test CXX_HAS_AVX2_1 - Failed -- Performing Test CXX_HAS_AVX2_2 -- Performing Test CXX_HAS_AVX2_2 - Success -- Performing Test CXX_HAS_AVX512_1 -- Performing Test CXX_HAS_AVX512_1 - Failed -- Performing Test CXX_HAS_AVX512_2 -- Performing Test CXX_HAS_AVX512_2 - Success -- Current compiler supports avx2 extension. Will build perfkernels. -- Performing Test CAFFE2_COMPILER_SUPPORTS_AVX512_EXTENSIONS -- Performing Test CAFFE2_COMPILER_SUPPORTS_AVX512_EXTENSIONS - Success -- Current compiler supports avx512f extension. Will build fbgemm. -- Performing Test COMPILER_SUPPORTS_HIDDEN_VISIBILITY -- Performing Test COMPILER_SUPPORTS_HIDDEN_VISIBILITY - Success -- Performing Test COMPILER_SUPPORTS_HIDDEN_INLINE_VISIBILITY -- Performing Test COMPILER_SUPPORTS_HIDDEN_INLINE_VISIBILITY - Success -- Performing Test COMPILER_SUPPORTS_RDYNAMIC -- Performing Test COMPILER_SUPPORTS_RDYNAMIC - Success -- Found CUDA: /usr/local/cuda (found version "12.1") -- The CUDA compiler identification is NVIDIA 12.1.105 -- Detecting CUDA compiler ABI info -- Detecting CUDA compiler ABI info - done -- Check for working CUDA compiler: /usr/local/cuda-12.1/bin/nvcc - skipped -- Detecting CUDA compile features -- Detecting CUDA compile features - done -- Caffe2: CUDA detected: 12.1 -- Caffe2: CUDA nvcc is: /usr/local/cuda-12.1/bin/nvcc -- Caffe2: CUDA toolkit directory: /usr/local/cuda -- Caffe2: Header version is: 12.1 -- /usr/local/cuda/lib64/libnvrtc.so shorthash is b51b459d -- Found CUDNN: /usr/lib64/libcudnn.so CMake Warning at cmake/public/utils.cmake:385 (message): In the future we will require one to explicitly pass TORCH_CUDA_ARCH_LIST to cmake instead of implicitly setting it as an env variable. This will become a FATAL_ERROR in future version of pytorch. Call Stack (most recent call first): cmake/public/cuda.cmake:362 (torch_cuda_get_nvcc_gencode_flag) cmake/Dependencies.cmake:43 (include) CMakeLists.txt:717 (include) -- Added CUDA NVCC flags for: -gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86 -- Building using own protobuf under third_party per request. -- Use custom protobuf build. -- -- 3.13.0.0 -- Performing Test CMAKE_HAVE_LIBC_PTHREAD -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success -- Found Threads: TRUE -- Performing Test protobuf_HAVE_BUILTIN_ATOMICS -- Performing Test protobuf_HAVE_BUILTIN_ATOMICS - Success -- Caffe2 protobuf include directory: $$ -- Trying to find preferred BLAS backend of choice: MKL -- MKL_THREADING = OMP -- Looking for sys/types.h -- Looking for sys/types.h - found -- Looking for stdint.h -- Looking for stdint.h - found -- Looking for stddef.h -- Looking for stddef.h - found -- Check size of void* -- Check size of void* - done -- MKL_THREADING = OMP CMake Warning at cmake/Dependencies.cmake:226 (message): MKL could not be found. Defaulting to Eigen Call Stack (most recent call first): CMakeLists.txt:717 (include) CMake Warning at cmake/Dependencies.cmake:263 (message): Preferred BLAS (MKL) cannot be found, now searching for a general BLAS library Call Stack (most recent call first): CMakeLists.txt:717 (include) -- MKL_THREADING = OMP -- Checking for [mkl_intel_lp64 - mkl_gnu_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel_lp64 - mkl_intel_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_gnu_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_intel - mkl_intel_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_gnu_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf_lp64 - mkl_intel_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_gnu_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_gf - mkl_intel_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_gnu_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel_lp64 - mkl_intel_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_gnu_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_intel - mkl_intel_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_gnu_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf_lp64 - mkl_intel_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_gnu_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_gf - mkl_intel_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_gnu_thread - mkl_core - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel_lp64 - mkl_intel_thread - mkl_core - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_gnu_thread - mkl_core - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_intel - mkl_intel_thread - mkl_core - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_gnu_thread - mkl_core - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf_lp64 - mkl_intel_thread - mkl_core - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_gnu_thread - mkl_core - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_gf - mkl_intel_thread - mkl_core - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_sequential - mkl_core - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_sequential - mkl_core - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_sequential - mkl_core - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_sequential - mkl_core - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_core - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_core - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_core - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_core - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl - guide - pthread - m] -- Library mkl: not found -- MKL library not found -- Checking for [blis] -- Library blis: BLAS_blis_LIBRARY-NOTFOUND -- Checking for [Accelerate] -- Library Accelerate: BLAS_Accelerate_LIBRARY-NOTFOUND -- Checking for [vecLib] -- Library vecLib: BLAS_vecLib_LIBRARY-NOTFOUND -- Checking for [flexiblas] -- Library flexiblas: BLAS_flexiblas_LIBRARY-NOTFOUND -- Checking for [openblas] -- Library openblas: BLAS_openblas_LIBRARY-NOTFOUND -- Checking for [openblas - pthread - m] -- Library openblas: BLAS_openblas_LIBRARY-NOTFOUND -- Checking for [openblas - pthread - m - gomp] -- Library openblas: BLAS_openblas_LIBRARY-NOTFOUND -- Checking for [goto2 - gfortran] -- Library goto2: BLAS_goto2_LIBRARY-NOTFOUND -- Checking for [goto2 - gfortran - pthread] -- Library goto2: BLAS_goto2_LIBRARY-NOTFOUND -- Checking for [acml - gfortran] -- Library acml: BLAS_acml_LIBRARY-NOTFOUND -- Checking for [blis] -- Library blis: BLAS_blis_LIBRARY-NOTFOUND -- Could NOT find Atlas (missing: Atlas_CBLAS_INCLUDE_DIR Atlas_CLAPACK_INCLUDE_DIR Atlas_CBLAS_LIBRARY Atlas_BLAS_LIBRARY Atlas_LAPACK_LIBRARY) -- Checking for [ptf77blas - atlas - gfortran] -- Library ptf77blas: BLAS_ptf77blas_LIBRARY-NOTFOUND -- Checking for [] -- Looking for sgemm_ -- Looking for sgemm_ - not found -- Cannot find a library with BLAS API. Not using BLAS. -- Using pocketfft in directory: /builddir/build/BUILD/pytorch-v2.0.1/third_party/pocketfft/ -- The ASM compiler identification is GNU -- Found assembler: /usr/bin/gcc -- Brace yourself, we are building NNPACK -- Performing Test NNPACK_ARCH_IS_X86_32 -- Performing Test NNPACK_ARCH_IS_X86_32 - Failed -- Found PythonInterp: /usr/bin/python3 (found version "3.10.13") -- NNPACK backend is x86-64 -- Performing Test COMPILER_SUPPORTS_AVX512 -- Performing Test COMPILER_SUPPORTS_AVX512 - Success -- Found OpenMP_C: -fopenmp (found version "4.5") CMake Warning (dev) at /usr/share/cmake/Modules/FindPackageHandleStandardArgs.cmake:438 (message): The package name passed to `find_package_handle_standard_args` (OpenMP_C) does not match the name of the calling package (OpenMP). This can lead to problems in calling code that expects `find_package` result variables (e.g., `_FOUND`) to follow a certain pattern. Call Stack (most recent call first): cmake/Modules/FindOpenMP.cmake:584 (find_package_handle_standard_args) third_party/fbgemm/CMakeLists.txt:85 (find_package) This warning is for project developers. Use -Wno-dev to suppress it. -- Found OpenMP_CXX: -fopenmp (found version "4.5") CMake Warning (dev) at /usr/share/cmake/Modules/FindPackageHandleStandardArgs.cmake:438 (message): The package name passed to `find_package_handle_standard_args` (OpenMP_CXX) does not match the name of the calling package (OpenMP). This can lead to problems in calling code that expects `find_package` result variables (e.g., `_FOUND`) to follow a certain pattern. Call Stack (most recent call first): cmake/Modules/FindOpenMP.cmake:584 (find_package_handle_standard_args) third_party/fbgemm/CMakeLists.txt:85 (find_package) This warning is for project developers. Use -Wno-dev to suppress it. -- Found OpenMP: TRUE (found version "4.5") CMake Warning at third_party/fbgemm/CMakeLists.txt:87 (message): OpenMP found! OpenMP_C_INCLUDE_DIRS = CMake Warning at third_party/fbgemm/CMakeLists.txt:186 (message): ========== CMake Warning at third_party/fbgemm/CMakeLists.txt:187 (message): CMAKE_BUILD_TYPE = Release CMake Warning at third_party/fbgemm/CMakeLists.txt:188 (message): CMAKE_CXX_FLAGS_DEBUG is -g CMake Warning at third_party/fbgemm/CMakeLists.txt:189 (message): CMAKE_CXX_FLAGS_RELEASE is -O3 -DNDEBUG CMake Warning at third_party/fbgemm/CMakeLists.txt:190 (message): ========== -- Performing Test __CxxFlag__fno_threadsafe_statics -- Performing Test __CxxFlag__fno_threadsafe_statics - Success -- Performing Test __CxxFlag__fno_semantic_interposition -- Performing Test __CxxFlag__fno_semantic_interposition - Success -- Performing Test __CxxFlag__fmerge_all_constants -- Performing Test __CxxFlag__fmerge_all_constants - Success -- Performing Test __CxxFlag__fno_enforce_eh_specs -- Performing Test __CxxFlag__fno_enforce_eh_specs - Success ** AsmJit Summary ** ASMJIT_DIR=/builddir/build/BUILD/pytorch-v2.0.1/third_party/fbgemm/third_party/asmjit ASMJIT_TEST=FALSE ASMJIT_TARGET_TYPE=STATIC ASMJIT_DEPS=pthread;rt ASMJIT_LIBS=asmjit;pthread;rt ASMJIT_CFLAGS=-DASMJIT_STATIC ASMJIT_PRIVATE_CFLAGS=-Wall;-Wextra;-Wconversion;-fno-math-errno;-fno-threadsafe-statics;-fno-semantic-interposition;-DASMJIT_STATIC ASMJIT_PRIVATE_CFLAGS_DBG= ASMJIT_PRIVATE_CFLAGS_REL=-O2;-fmerge-all-constants;-fno-enforce-eh-specs -- Found Numa: /usr/include -- Found Numa (include: /usr/include, library: /usr/lib64/libnuma.so) -- Using third party subdirectory Eigen. -- Found PythonInterp: /usr/bin/python3 (found suitable version "3.10.13", minimum required is "3.0") -- Found PythonLibs: /usr/lib64/libpython3.10.so.1.0 (found suitable version "3.10.13", minimum required is "3.0") -- Using third_party/pybind11. -- pybind11 include dirs: /builddir/build/BUILD/pytorch-v2.0.1/cmake/../third_party/pybind11/include -- Checking for module 'mpi-c' -- Package 'mpi-c', required by 'virtual:world', not found -- Could NOT find MPI_C (missing: MPI_C_LIB_NAMES MPI_C_HEADER_DIR MPI_C_WORKS) -- Checking for module 'mpi-cxx' -- Package 'mpi-cxx', required by 'virtual:world', not found -- Could NOT find MPI_CXX (missing: MPI_CXX_LIB_NAMES MPI_CXX_HEADER_DIR MPI_CXX_WORKS) -- Could NOT find MPI (missing: MPI_C_FOUND MPI_CXX_FOUND) -- Found OpenMP_C: -fopenmp -- Found OpenMP_CXX: -fopenmp -- Found OpenMP: TRUE -- Adding OpenMP CXX_FLAGS: -fopenmp -- Will link against OpenMP libraries: /usr/lib/gcc/x86_64-anolis-linux/12/libgomp.so;/usr/lib64/libpthread.a -- Disabling kernel asserts for ROCm CMake Warning at cmake/Dependencies.cmake:1179 (message): Not compiling with MPI. Suppress this warning with -DUSE_MPI=OFF Call Stack (most recent call first): CMakeLists.txt:717 (include) CMake Warning at cmake/External/nccl.cmake:69 (message): Enabling NCCL library slimming Call Stack (most recent call first): cmake/Dependencies.cmake:1357 (include) CMakeLists.txt:717 (include) -- Found CUB: /usr/local/cuda/include -- Converting CMAKE_CUDA_FLAGS to CUDA_NVCC_FLAGS: CUDA_NVCC_FLAGS = -Xfatbin;-compress-all;-DONNX_NAMESPACE=onnx_torch;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-Xcudafe;--diag_suppress=cc_clobber_ignored,--diag_suppress=integer_sign_change,--diag_suppress=useless_using_declaration,--diag_suppress=set_but_not_used,--diag_suppress=field_without_dll_interface,--diag_suppress=base_class_has_different_dll_interface,--diag_suppress=dll_interface_conflict_none_assumed,--diag_suppress=dll_interface_conflict_dllexport_assumed,--diag_suppress=implicit_return_from_non_void_function,--diag_suppress=unsigned_compare_with_zero,--diag_suppress=declared_but_not_referenced,--diag_suppress=bad_friend_decl;--expt-relaxed-constexpr;--expt-extended-lambda CUDA_NVCC_FLAGS_DEBUG = -g;-lineinfo;--source-in-ptx CUDA_NVCC_FLAGS_RELEASE = -O3;-DNDEBUG CUDA_NVCC_FLAGS_RELWITHDEBINFO = -g;-lineinfo;--source-in-ptx CUDA_NVCC_FLAGS_MINSIZEREL = -O1;-DNDEBUG -- Performing Test UV_LINT_W4 -- Performing Test UV_LINT_W4 - Failed -- Performing Test UV_LINT_NO_UNUSED_PARAMETER_MSVC -- Performing Test UV_LINT_NO_UNUSED_PARAMETER_MSVC - Failed -- Performing Test UV_LINT_NO_CONDITIONAL_CONSTANT_MSVC -- Performing Test UV_LINT_NO_CONDITIONAL_CONSTANT_MSVC - Failed -- Performing Test UV_LINT_NO_NONSTANDARD_MSVC -- Performing Test UV_LINT_NO_NONSTANDARD_MSVC - Failed -- Performing Test UV_LINT_NO_NONSTANDARD_EMPTY_TU_MSVC -- Performing Test UV_LINT_NO_NONSTANDARD_EMPTY_TU_MSVC - Failed -- Performing Test UV_LINT_NO_NONSTANDARD_FILE_SCOPE_MSVC -- Performing Test UV_LINT_NO_NONSTANDARD_FILE_SCOPE_MSVC - Failed -- Performing Test UV_LINT_NO_NONSTANDARD_NONSTATIC_DLIMPORT_MSVC -- Performing Test UV_LINT_NO_NONSTANDARD_NONSTATIC_DLIMPORT_MSVC - Failed -- Performing Test UV_LINT_NO_HIDES_LOCAL -- Performing Test UV_LINT_NO_HIDES_LOCAL - Failed -- Performing Test UV_LINT_NO_HIDES_PARAM -- Performing Test UV_LINT_NO_HIDES_PARAM - Failed -- Performing Test UV_LINT_NO_HIDES_GLOBAL -- Performing Test UV_LINT_NO_HIDES_GLOBAL - Failed -- Performing Test UV_LINT_NO_CONDITIONAL_ASSIGNMENT_MSVC -- Performing Test UV_LINT_NO_CONDITIONAL_ASSIGNMENT_MSVC - Failed -- Performing Test UV_LINT_NO_UNSAFE_MSVC -- Performing Test UV_LINT_NO_UNSAFE_MSVC - Failed -- Performing Test UV_LINT_WALL -- Performing Test UV_LINT_WALL - Success -- Performing Test UV_LINT_NO_UNUSED_PARAMETER -- Performing Test UV_LINT_NO_UNUSED_PARAMETER - Success -- Performing Test UV_LINT_STRICT_PROTOTYPES -- Performing Test UV_LINT_STRICT_PROTOTYPES - Success -- Performing Test UV_LINT_EXTRA -- Performing Test UV_LINT_EXTRA - Success -- Performing Test UV_LINT_UTF8_MSVC -- Performing Test UV_LINT_UTF8_MSVC - Failed -- Performing Test UV_F_STRICT_ALIASING -- Performing Test UV_F_STRICT_ALIASING - Success -- summary of build options: Install prefix: /builddir/build/BUILD/pytorch-v2.0.1/torch Target system: Linux Compiler: C compiler: /usr/bin/gcc CFLAGS: -O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -Wno-maybe-uninitialized -Wno-uninitialized -Wno-free-nonheap-object -Wno-restrict -- Found uv: 1.38.1 (found version "1.38.1") -- Converting CMAKE_CUDA_FLAGS to CUDA_NVCC_FLAGS: CUDA_NVCC_FLAGS = -Xfatbin;-compress-all;-DONNX_NAMESPACE=onnx_torch;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-Xcudafe;--diag_suppress=cc_clobber_ignored,--diag_suppress=integer_sign_change,--diag_suppress=useless_using_declaration,--diag_suppress=set_but_not_used,--diag_suppress=field_without_dll_interface,--diag_suppress=base_class_has_different_dll_interface,--diag_suppress=dll_interface_conflict_none_assumed,--diag_suppress=dll_interface_conflict_dllexport_assumed,--diag_suppress=implicit_return_from_non_void_function,--diag_suppress=unsigned_compare_with_zero,--diag_suppress=declared_but_not_referenced,--diag_suppress=bad_friend_decl;--expt-relaxed-constexpr;--expt-extended-lambda CUDA_NVCC_FLAGS_DEBUG = -g;-lineinfo;--source-in-ptx CUDA_NVCC_FLAGS_RELEASE = -O3;-DNDEBUG CUDA_NVCC_FLAGS_RELWITHDEBINFO = -g;-lineinfo;--source-in-ptx CUDA_NVCC_FLAGS_MINSIZEREL = -O1;-DNDEBUG CMake Warning (dev) at third_party/gloo/CMakeLists.txt:21 (option): Policy CMP0077 is not set: option() honors normal variables. Run "cmake --help-policy CMP0077" for policy details. Use the cmake_policy command to set the policy and suppress this warning. For compatibility with older versions of CMake, option is clearing the normal variable 'BUILD_BENCHMARK'. This warning is for project developers. Use -Wno-dev to suppress it. -- Gloo build as SHARED library -- Found CUDA: /usr/local/cuda (found suitable version "12.1", minimum required is "7.0") -- CUDA detected: 12.1 CMake Warning at cmake/Dependencies.cmake:1500 (message): Metal is only used in ios builds. Call Stack (most recent call first): CMakeLists.txt:717 (include) -- Found PythonInterp: /usr/bin/python3 (found version "3.10.13") Generated: /builddir/build/BUILD/pytorch-v2.0.1/build/third_party/onnx/onnx/onnx_onnx_torch-ml.proto Generated: /builddir/build/BUILD/pytorch-v2.0.1/build/third_party/onnx/onnx/onnx-operators_onnx_torch-ml.proto Generated: /builddir/build/BUILD/pytorch-v2.0.1/build/third_party/onnx/onnx/onnx-data_onnx_torch.proto -- -- ******** Summary ******** -- CMake version : 3.26.3 -- CMake command : /usr/bin/cmake -- System : Linux -- C++ compiler : /usr/bin/g++ -- C++ compiler version : 12.2.1 -- CXX flags : -O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -Wno-maybe-uninitialized -Wno-uninitialized -Wno-free-nonheap-object -Wno-restrict -D_GLIBCXX_USE_CXX11_ABI=1 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -Wnon-virtual-dtor -- Build type : Release -- Compile definitions : ONNX_ML=1;ONNXIFI_ENABLE_EXT=1;__STDC_FORMAT_MACROS -- CMAKE_PREFIX_PATH : /usr/lib/python3.10/site-packages;/usr/local/cuda -- CMAKE_INSTALL_PREFIX : /builddir/build/BUILD/pytorch-v2.0.1/torch -- CMAKE_MODULE_PATH : /builddir/build/BUILD/pytorch-v2.0.1/cmake/Modules;/builddir/build/BUILD/pytorch-v2.0.1/cmake/public/../Modules_CUDA_fix -- -- ONNX version : 1.13.1rc2 -- ONNX NAMESPACE : onnx_torch -- ONNX_USE_LITE_PROTO : OFF -- USE_PROTOBUF_SHARED_LIBS : OFF -- Protobuf_USE_STATIC_LIBS : ON -- ONNX_DISABLE_EXCEPTIONS : OFF -- ONNX_WERROR : OFF -- ONNX_BUILD_TESTS : OFF -- ONNX_BUILD_BENCHMARKS : OFF -- -- Protobuf compiler : -- Protobuf includes : -- Protobuf libraries : -- BUILD_ONNX_PYTHON : OFF -- -- ******** Summary ******** -- CMake version : 3.26.3 -- CMake command : /usr/bin/cmake -- System : Linux -- C++ compiler : /usr/bin/g++ -- C++ compiler version : 12.2.1 -- CXX flags : -O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -Wno-maybe-uninitialized -Wno-uninitialized -Wno-free-nonheap-object -Wno-restrict -D_GLIBCXX_USE_CXX11_ABI=1 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -Wnon-virtual-dtor -- Build type : Release -- Compile definitions : ONNX_ML=1;ONNXIFI_ENABLE_EXT=1 -- CMAKE_PREFIX_PATH : /usr/lib/python3.10/site-packages;/usr/local/cuda -- CMAKE_INSTALL_PREFIX : /builddir/build/BUILD/pytorch-v2.0.1/torch -- CMAKE_MODULE_PATH : /builddir/build/BUILD/pytorch-v2.0.1/cmake/Modules;/builddir/build/BUILD/pytorch-v2.0.1/cmake/public/../Modules_CUDA_fix -- -- ONNX version : 1.4.1 -- ONNX NAMESPACE : onnx_torch -- ONNX_BUILD_TESTS : OFF -- ONNX_BUILD_BENCHMARKS : OFF -- ONNX_USE_LITE_PROTO : OFF -- ONNXIFI_DUMMY_BACKEND : -- -- Protobuf compiler : -- Protobuf includes : -- Protobuf libraries : -- BUILD_ONNX_PYTHON : OFF -- Found CUDA with FP16 support, compiling with torch.cuda.HalfTensor -- Adding -DNDEBUG to compile flags -- Checking prototype magma_get_sgeqrf_nb for MAGMA_V2 -- Checking prototype magma_get_sgeqrf_nb for MAGMA_V2 - False -- Compiling with MAGMA support -- MAGMA INCLUDE DIRECTORIES: /usr/include -- MAGMA LIBRARIES: /usr/lib64/libmagma.so -- MAGMA V2 check: 0 -- Could not find hardware support for NEON on this machine. -- No OMAP3 processor on this machine. -- No OMAP4 processor on this machine. -- MKL_THREADING = OMP -- Checking for [mkl_intel_lp64 - mkl_gnu_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel_lp64 - mkl_intel_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_gnu_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_intel - mkl_intel_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_gnu_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf_lp64 - mkl_intel_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_gnu_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_gf - mkl_intel_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_gnu_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel_lp64 - mkl_intel_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_gnu_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_intel - mkl_intel_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_gnu_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf_lp64 - mkl_intel_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_gnu_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_gf - mkl_intel_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_gnu_thread - mkl_core - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel_lp64 - mkl_intel_thread - mkl_core - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_gnu_thread - mkl_core - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_intel - mkl_intel_thread - mkl_core - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_gnu_thread - mkl_core - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf_lp64 - mkl_intel_thread - mkl_core - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_gnu_thread - mkl_core - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_gf - mkl_intel_thread - mkl_core - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_sequential - mkl_core - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_sequential - mkl_core - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_sequential - mkl_core - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_sequential - mkl_core - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_core - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_core - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_core - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_core - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl - guide - pthread - m] -- Library mkl: not found -- MKL library not found -- Checking for [blis] -- Library blis: BLAS_blis_LIBRARY-NOTFOUND -- Checking for [Accelerate] -- Library Accelerate: BLAS_Accelerate_LIBRARY-NOTFOUND -- Checking for [vecLib] -- Library vecLib: BLAS_vecLib_LIBRARY-NOTFOUND -- Checking for [flexiblas] -- Library flexiblas: BLAS_flexiblas_LIBRARY-NOTFOUND -- Checking for [openblas] -- Library openblas: BLAS_openblas_LIBRARY-NOTFOUND -- Checking for [openblas - pthread - m] -- Library openblas: BLAS_openblas_LIBRARY-NOTFOUND -- Checking for [openblas - pthread - m - gomp] -- Library openblas: BLAS_openblas_LIBRARY-NOTFOUND -- Checking for [goto2 - gfortran] -- Library goto2: BLAS_goto2_LIBRARY-NOTFOUND -- Checking for [goto2 - gfortran - pthread] -- Library goto2: BLAS_goto2_LIBRARY-NOTFOUND -- Checking for [acml - gfortran] -- Library acml: BLAS_acml_LIBRARY-NOTFOUND -- Checking for [blis] -- Library blis: BLAS_blis_LIBRARY-NOTFOUND -- Could NOT find Atlas (missing: Atlas_CBLAS_INCLUDE_DIR Atlas_CLAPACK_INCLUDE_DIR Atlas_CBLAS_LIBRARY Atlas_BLAS_LIBRARY Atlas_LAPACK_LIBRARY) -- Checking for [ptf77blas - atlas - gfortran] -- Library ptf77blas: BLAS_ptf77blas_LIBRARY-NOTFOUND -- Checking for [] -- Cannot find a library with BLAS API. Not using BLAS. -- LAPACK requires BLAS -- Cannot find a library with LAPACK API. Not using LAPACK. -- MIOpen not found. Compiling without MIOpen support disabling ROCM because NOT USE_ROCM is set -- Will build oneDNN Graph -- MKL_THREADING = OMP -- Checking for [mkl_intel_lp64 - mkl_gnu_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel_lp64 - mkl_intel_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_gnu_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_intel - mkl_intel_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_gnu_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf_lp64 - mkl_intel_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_gnu_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_gf - mkl_intel_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_gnu_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel_lp64 - mkl_intel_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_gnu_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_intel - mkl_intel_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_gnu_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf_lp64 - mkl_intel_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_gnu_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_gf - mkl_intel_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_gnu_thread - mkl_core - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel_lp64 - mkl_intel_thread - mkl_core - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_gnu_thread - mkl_core - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_intel - mkl_intel_thread - mkl_core - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_gnu_thread - mkl_core - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf_lp64 - mkl_intel_thread - mkl_core - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_gnu_thread - mkl_core - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_gf - mkl_intel_thread - mkl_core - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_sequential - mkl_core - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_sequential - mkl_core - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_sequential - mkl_core - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_sequential - mkl_core - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_core - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_core - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_core - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_core - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl - guide - pthread - m] -- Library mkl: not found -- MKL library not found -- Checking for [blis] -- Library blis: BLAS_blis_LIBRARY-NOTFOUND -- Checking for [Accelerate] -- Library Accelerate: BLAS_Accelerate_LIBRARY-NOTFOUND -- Checking for [vecLib] -- Library vecLib: BLAS_vecLib_LIBRARY-NOTFOUND -- Checking for [flexiblas] -- Library flexiblas: BLAS_flexiblas_LIBRARY-NOTFOUND -- Checking for [openblas] -- Library openblas: BLAS_openblas_LIBRARY-NOTFOUND -- Checking for [openblas - pthread - m] -- Library openblas: BLAS_openblas_LIBRARY-NOTFOUND -- Checking for [openblas - pthread - m - gomp] -- Library openblas: BLAS_openblas_LIBRARY-NOTFOUND -- Checking for [goto2 - gfortran] -- Library goto2: BLAS_goto2_LIBRARY-NOTFOUND -- Checking for [goto2 - gfortran - pthread] -- Library goto2: BLAS_goto2_LIBRARY-NOTFOUND -- Checking for [acml - gfortran] -- Library acml: BLAS_acml_LIBRARY-NOTFOUND -- Checking for [blis] -- Library blis: BLAS_blis_LIBRARY-NOTFOUND -- Could NOT find Atlas (missing: Atlas_CBLAS_INCLUDE_DIR Atlas_CLAPACK_INCLUDE_DIR Atlas_CBLAS_LIBRARY Atlas_BLAS_LIBRARY Atlas_LAPACK_LIBRARY) -- Checking for [ptf77blas - atlas - gfortran] -- Library ptf77blas: BLAS_ptf77blas_LIBRARY-NOTFOUND -- Checking for [] -- Cannot find a library with BLAS API. Not using BLAS. -- MKLDNN_CPU_RUNTIME = OMP -- cmake version: 3.26.3 CMake Deprecation Warning at third_party/ideep/mkl-dnn/CMakeLists.txt:36 (cmake_policy): The OLD behavior for policy CMP0025 will be removed from a future version of CMake. The cmake-policies(7) manual explains that the OLD behaviors of all policies are deprecated and that a policy should be set to OLD only under specific short-term circumstances. Projects should be ported to the NEW behavior and not rely on setting a policy to OLD. -- DNNL_TARGET_ARCH: X64 -- DNNL_LIBRARY_NAME: dnnl -- Found OpenMP_C: -fopenmp CMake Warning (dev) at /usr/share/cmake/Modules/FindPackageHandleStandardArgs.cmake:438 (message): The package name passed to `find_package_handle_standard_args` (OpenMP_C) does not match the name of the calling package (OpenMP). This can lead to problems in calling code that expects `find_package` result variables (e.g., `_FOUND`) to follow a certain pattern. Call Stack (most recent call first): cmake/Modules/FindOpenMP.cmake:584 (find_package_handle_standard_args) third_party/ideep/mkl-dnn/third_party/oneDNN/cmake/OpenMP.cmake:69 (find_package) third_party/ideep/mkl-dnn/third_party/oneDNN/CMakeLists.txt:117 (include) This warning is for project developers. Use -Wno-dev to suppress it. CMake Warning (dev) at /usr/share/cmake/Modules/FindPackageHandleStandardArgs.cmake:438 (message): The package name passed to `find_package_handle_standard_args` (OpenMP_CXX) does not match the name of the calling package (OpenMP). This can lead to problems in calling code that expects `find_package` result variables (e.g., `_FOUND`) to follow a certain pattern. Call Stack (most recent call first): cmake/Modules/FindOpenMP.cmake:584 (find_package_handle_standard_args) third_party/ideep/mkl-dnn/third_party/oneDNN/cmake/OpenMP.cmake:69 (find_package) third_party/ideep/mkl-dnn/third_party/oneDNN/CMakeLists.txt:117 (include) This warning is for project developers. Use -Wno-dev to suppress it. -- Found OpenMP_CXX: -fopenmp -- Could NOT find Doxyrest (missing: DOXYREST_EXECUTABLE) -- Found PythonInterp: /usr/bin/python3 (found suitable version "3.10.13", minimum required is "2.7") -- Could NOT find Sphinx (missing: SPHINX_EXECUTABLE) -- Could NOT find Git (missing: GIT_EXECUTABLE) -- Enabled workload: TRAINING -- Enabled primitives: ALL -- Enabled primitive CPU ISA: ALL -- Enabled primitive GPU ISA: ALL -- Primitive cache is enabled -- Looking for /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/include/oneapi/dnnl/dnnl_graph.h -- Looking for /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/include/oneapi/dnnl/dnnl_graph.h - found -- Looking for /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/include/oneapi/dnnl/dnnl_graph_types.h -- Looking for /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/include/oneapi/dnnl/dnnl_graph_types.h - found -- Looking for C++ include /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/include/oneapi/dnnl/dnnl_graph.hpp -- Looking for C++ include /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/include/oneapi/dnnl/dnnl_graph.hpp - found -- Could NOT find Doxygen (missing: DOXYGEN_EXECUTABLE) -- Cannot find Doxygen package -- Could NOT find Git (missing: GIT_EXECUTABLE) CMake Warning (dev) at /usr/share/cmake/Modules/FindPackageHandleStandardArgs.cmake:438 (message): The package name passed to `find_package_handle_standard_args` (OpenMP_C) does not match the name of the calling package (OpenMP). This can lead to problems in calling code that expects `find_package` result variables (e.g., `_FOUND`) to follow a certain pattern. Call Stack (most recent call first): cmake/Modules/FindOpenMP.cmake:584 (find_package_handle_standard_args) third_party/ideep/mkl-dnn/cmake/OpenMP.cmake:62 (find_package) third_party/ideep/mkl-dnn/CMakeLists.txt:179 (include) This warning is for project developers. Use -Wno-dev to suppress it. CMake Warning (dev) at /usr/share/cmake/Modules/FindPackageHandleStandardArgs.cmake:438 (message): The package name passed to `find_package_handle_standard_args` (OpenMP_CXX) does not match the name of the calling package (OpenMP). This can lead to problems in calling code that expects `find_package` result variables (e.g., `_FOUND`) to follow a certain pattern. Call Stack (most recent call first): cmake/Modules/FindOpenMP.cmake:584 (find_package_handle_standard_args) third_party/ideep/mkl-dnn/cmake/OpenMP.cmake:62 (find_package) third_party/ideep/mkl-dnn/CMakeLists.txt:179 (include) This warning is for project developers. Use -Wno-dev to suppress it. -- DNNL_GRAPH_BUILD_FOR_CI is set to be OFF -- Compiling oneDNN Graph with CPU runtime OMP support -- Compiling oneDNN Graph with GPU runtime NONE support -- Graph compiler backend is disabled. -- Set version definitions to /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/src/utils/verbose.cpp -- Compiled partition cache is enabled -- Found MKL-DNN: TRUE -- Looking for clock_gettime in rt -- Looking for clock_gettime in rt - found -- Looking for mmap -- Looking for mmap - found -- Looking for shm_open -- Looking for shm_open - found -- Looking for shm_unlink -- Looking for shm_unlink - found -- Looking for malloc_usable_size -- Looking for malloc_usable_size - found -- Performing Test C_HAS_THREAD -- Performing Test C_HAS_THREAD - Success -- Module support is disabled. -- Version: 9.1.0 -- Build type: Release -- CXX_STANDARD: 17 -- Performing Test has_std_17_flag -- Performing Test has_std_17_flag - Success -- Performing Test has_std_1z_flag -- Performing Test has_std_1z_flag - Success -- Required features: cxx_variadic_templates -- Using Kineto with CUPTI support -- Configuring Kineto dependency: -- KINETO_SOURCE_DIR = /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto -- KINETO_BUILD_TESTS = OFF -- KINETO_LIBRARY_TYPE = static -- CUDA_SOURCE_DIR = /usr/local/cuda -- CUDA_INCLUDE_DIRS = /usr/local/cuda/include -- CUPTI_INCLUDE_DIR = /usr/local/cuda/include -- CUDA_cupti_LIBRARY = /usr/local/cuda/lib64/libcupti.so -- Found CUPTI -- Found PythonInterp: /usr/bin/python3 (found version "3.10.13") INFO ROCM_SOURCE_DIR = -- Kineto: FMT_SOURCE_DIR = /builddir/build/BUILD/pytorch-v2.0.1/third_party/fmt -- Kineto: FMT_INCLUDE_DIR = /builddir/build/BUILD/pytorch-v2.0.1/third_party/fmt/include -- Configured Kineto -- GCC 12.2.1: Adding gcc and gcc_s libs to link line INFO CUPTI_INCLUDE_DIR = /usr/local/cuda/include INFO ROCTRACER_INCLUDE_DIR = /include/roctracer INFO DYNOLOG_INCLUDE_DIR = /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/ INFO IPCFABRIC_INCLUDE_DIR = /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog//dynolog/src/ipcfabric/ -- Performing Test HAS_WERROR_RETURN_TYPE -- Performing Test HAS_WERROR_RETURN_TYPE - Success -- Performing Test HAS_WERROR_NON_VIRTUAL_DTOR -- Performing Test HAS_WERROR_NON_VIRTUAL_DTOR - Success -- Performing Test HAS_WERROR_BRACED_SCALAR_INIT -- Performing Test HAS_WERROR_BRACED_SCALAR_INIT - Failed -- Performing Test HAS_WERROR_RANGE_LOOP_CONSTRUCT -- Performing Test HAS_WERROR_RANGE_LOOP_CONSTRUCT - Success -- Performing Test HAS_WERROR_BOOL_OPERATION -- Performing Test HAS_WERROR_BOOL_OPERATION - Success -- Performing Test HAS_WINCONSISTENT_MISSING_OVERRIDE -- Performing Test HAS_WINCONSISTENT_MISSING_OVERRIDE - Failed -- Performing Test HAS_WNARROWING -- Performing Test HAS_WNARROWING - Success -- Performing Test HAS_WNO_MISSING_FIELD_INITIALIZERS -- Performing Test HAS_WNO_MISSING_FIELD_INITIALIZERS - Success -- Performing Test HAS_WNO_TYPE_LIMITS -- Performing Test HAS_WNO_TYPE_LIMITS - Success -- Performing Test HAS_WNO_ARRAY_BOUNDS -- Performing Test HAS_WNO_ARRAY_BOUNDS - Success -- Performing Test HAS_WNO_UNKNOWN_PRAGMAS -- Performing Test HAS_WNO_UNKNOWN_PRAGMAS - Success -- Performing Test HAS_WUNUSED_LOCAL_TYPEDEFS -- Performing Test HAS_WUNUSED_LOCAL_TYPEDEFS - Success -- Performing Test HAS_WNO_UNUSED_PARAMETER -- Performing Test HAS_WNO_UNUSED_PARAMETER - Success -- Performing Test HAS_WNO_UNUSED_FUNCTION -- Performing Test HAS_WNO_UNUSED_FUNCTION - Success -- Performing Test HAS_WNO_UNUSED_RESULT -- Performing Test HAS_WNO_UNUSED_RESULT - Success -- Performing Test HAS_WNO_STRICT_OVERFLOW -- Performing Test HAS_WNO_STRICT_OVERFLOW - Success -- Performing Test HAS_WNO_STRICT_ALIASING -- Performing Test HAS_WNO_STRICT_ALIASING - Success -- Performing Test HAS_WNO_ERROR_DEPRECATED_DECLARATIONS -- Performing Test HAS_WNO_ERROR_DEPRECATED_DECLARATIONS - Success -- Performing Test HAS_WVLA_EXTENSION -- Performing Test HAS_WVLA_EXTENSION - Failed -- Performing Test HAS_WNO_ERROR_PEDANTIC -- Performing Test HAS_WNO_ERROR_PEDANTIC - Success -- Performing Test HAS_WNO_ERROR_REDUNDANT_DECLS -- Performing Test HAS_WNO_ERROR_REDUNDANT_DECLS - Success -- Performing Test HAS_WNO_ERROR_OLD_STYLE_CAST -- Performing Test HAS_WNO_ERROR_OLD_STYLE_CAST - Success -- Performing Test HAS_FCOLOR_DIAGNOSTICS -- Performing Test HAS_FCOLOR_DIAGNOSTICS - Failed -- Performing Test HAS_FDIAGNOSTICS_COLOR_ALWAYS -- Performing Test HAS_FDIAGNOSTICS_COLOR_ALWAYS - Success -- Performing Test HAS_WNO_UNUSED_BUT_SET_VARIABLE -- Performing Test HAS_WNO_UNUSED_BUT_SET_VARIABLE - Success -- Performing Test HAS_WNO_MAYBE_UNINITIALIZED -- Performing Test HAS_WNO_MAYBE_UNINITIALIZED - Success -- Performing Test HAS_FNO_MATH_ERRNO -- Performing Test HAS_FNO_MATH_ERRNO - Success -- Performing Test HAS_FNO_TRAPPING_MATH -- Performing Test HAS_FNO_TRAPPING_MATH - Success -- Performing Test HAS_WERROR_FORMAT -- Performing Test HAS_WERROR_FORMAT - Success -- Performing Test HAS_WERROR_CAST_FUNCTION_TYPE -- Performing Test HAS_WERROR_CAST_FUNCTION_TYPE - Success -- Performing Test HAS_WNO_STRINGOP_OVERFLOW -- Performing Test HAS_WNO_STRINGOP_OVERFLOW - Success -- Looking for backtrace -- Looking for backtrace - found -- backtrace facility detected in default set of libraries -- Found Backtrace: /usr/include -- NUMA paths: -- /usr/include -- /usr/lib64/libnuma.so -- headers outputs: -- sources outputs: -- declarations_yaml outputs: -- Performing Test COMPILER_SUPPORTS_NO_AVX256_SPLIT -- Performing Test COMPILER_SUPPORTS_NO_AVX256_SPLIT - Success -- Using ATen parallel backend: OMP CMake Deprecation Warning at third_party/sleef/CMakeLists.txt:91 (cmake_policy): The OLD behavior for policy CMP0066 will be removed from a future version of CMake. The cmake-policies(7) manual explains that the OLD behaviors of all policies are deprecated and that a policy should be set to OLD only under specific short-term circumstances. Projects should be ported to the NEW behavior and not rely on setting a policy to OLD. -- Could NOT find OpenSSL, try to set the path to OpenSSL root folder in the system variable OPENSSL_ROOT_DIR (missing: OPENSSL_CRYPTO_LIBRARY OPENSSL_INCLUDE_DIR) -- Check size of long double -- Check size of long double - done -- Performing Test COMPILER_SUPPORTS_LONG_DOUBLE -- Performing Test COMPILER_SUPPORTS_LONG_DOUBLE - Success -- Performing Test COMPILER_SUPPORTS_FLOAT128 -- Performing Test COMPILER_SUPPORTS_FLOAT128 - Success -- Performing Test COMPILER_SUPPORTS_SSE2 -- Performing Test COMPILER_SUPPORTS_SSE2 - Success -- Performing Test COMPILER_SUPPORTS_SSE4 -- Performing Test COMPILER_SUPPORTS_SSE4 - Success -- Performing Test COMPILER_SUPPORTS_AVX -- Performing Test COMPILER_SUPPORTS_AVX - Success -- Performing Test COMPILER_SUPPORTS_FMA4 -- Performing Test COMPILER_SUPPORTS_FMA4 - Success -- Performing Test COMPILER_SUPPORTS_AVX2 -- Performing Test COMPILER_SUPPORTS_AVX2 - Success -- Performing Test COMPILER_SUPPORTS_AVX512F -- Performing Test COMPILER_SUPPORTS_AVX512F - Success -- Found OpenMP_C: -fopenmp (found version "4.5") -- Found OpenMP_CXX: -fopenmp (found version "4.5") -- Found OpenMP: TRUE (found version "4.5") -- Performing Test COMPILER_SUPPORTS_OPENMP -- Performing Test COMPILER_SUPPORTS_OPENMP - Success -- Performing Test COMPILER_SUPPORTS_WEAK_ALIASES -- Performing Test COMPILER_SUPPORTS_WEAK_ALIASES - Success -- Performing Test COMPILER_SUPPORTS_BUILTIN_MATH -- Performing Test COMPILER_SUPPORTS_BUILTIN_MATH - Success -- Performing Test COMPILER_SUPPORTS_SYS_GETRANDOM -- Performing Test COMPILER_SUPPORTS_SYS_GETRANDOM - Success -- Configuring build for SLEEF-v3.6.0 -- Using option `-Wall -Wno-unused -Wno-attributes -Wno-unused-result -Wno-psabi -ffp-contract=off -fno-math-errno -fno-trapping-math` to compile libsleef -- Building shared libs : OFF -- Building static test bins: OFF -- MPFR : LIB_MPFR-NOTFOUND -- GMP : LIBGMP-NOTFOUND -- RT : /usr/lib64/librt.a -- FFTW3 : LIBFFTW3-NOTFOUND -- OPENSSL : -- SDE : SDE_COMMAND-NOTFOUND -- RUNNING_ON_TRAVIS : -- COMPILER_SUPPORTS_OPENMP : 1 Target system: Linux-4.18.0-305.19.1.el8_4.x86_64 Target processor: x86_64 Host system: Linux-4.18.0-305.19.1.el8_4.x86_64 Host processor: x86_64 Detected C compiler: GNU @ /usr/bin/gcc CMake: 3.26.3 Make program: /usr/bin/gmake *** Note: Parallel build is only supported with Ninja *** AT_INSTALL_INCLUDE_DIR include/ATen/core core header install: /builddir/build/BUILD/pytorch-v2.0.1/build/aten/src/ATen/core/TensorBody.h core header install: /builddir/build/BUILD/pytorch-v2.0.1/build/aten/src/ATen/core/aten_interned_strings.h core header install: /builddir/build/BUILD/pytorch-v2.0.1/build/aten/src/ATen/core/enum_tag.h -- _GLIBCXX_USE_CXX11_ABI=1 is already defined as a cmake variable CMake Warning (dev) at torch/CMakeLists.txt:387: Syntax Warning in cmake code at column 107 Argument not separated from preceding token by whitespace. This warning is for project developers. Use -Wno-dev to suppress it. CMake Warning (dev) at torch/CMakeLists.txt:387: Syntax Warning in cmake code at column 115 Argument not separated from preceding token by whitespace. This warning is for project developers. Use -Wno-dev to suppress it. -- Using lib/python3.10/site-packages as python relative installation path CMake Warning at CMakeLists.txt:1078 (message): Generated cmake files are only fully tested if one builds with system glog, gflags, and protobuf. Other settings may generate files that are not well tested. -- -- ******** Summary ******** -- General: -- CMake version : 3.26.3 -- CMake command : /usr/bin/cmake -- System : Linux -- C++ compiler : /usr/bin/g++ -- C++ compiler id : GNU -- C++ compiler version : 12.2.1 -- Using ccache if found : ON -- Found ccache : CCACHE_PROGRAM-NOTFOUND -- CXX flags : -O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -Wno-maybe-uninitialized -Wno-uninitialized -Wno-free-nonheap-object -Wno-restrict -D_GLIBCXX_USE_CXX11_ABI=1 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOROCTRACER -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=range-loop-construct -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wunused-local-typedefs -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Werror=cast-function-type -Wno-stringop-overflow -- Build type : Release -- Compile definitions : ONNX_ML=1;ONNXIFI_ENABLE_EXT=1;ONNX_NAMESPACE=onnx_torch;HAVE_MMAP=1;_FILE_OFFSET_BITS=64;HAVE_SHM_OPEN=1;HAVE_SHM_UNLINK=1;HAVE_MALLOC_USABLE_SIZE=1;USE_EXTERNAL_MZCRC;MINIZ_DISABLE_ZIP_READER_CRC32_CHECKS;USE_FLASH_ATTENTION -- CMAKE_PREFIX_PATH : /usr/lib/python3.10/site-packages;/usr/local/cuda -- CMAKE_INSTALL_PREFIX : /builddir/build/BUILD/pytorch-v2.0.1/torch -- USE_GOLD_LINKER : OFF -- -- TORCH_VERSION : 2.0.1 -- CAFFE2_VERSION : 2.0.1 -- BUILD_CAFFE2 : OFF -- BUILD_CAFFE2_OPS : OFF -- BUILD_STATIC_RUNTIME_BENCHMARK: OFF -- BUILD_TENSOREXPR_BENCHMARK: OFF -- BUILD_NVFUSER_BENCHMARK: OFF -- BUILD_BINARY : OFF -- BUILD_CUSTOM_PROTOBUF : ON -- Link local protobuf : ON -- BUILD_DOCS : OFF -- BUILD_PYTHON : True -- Python version : 3.10.13 -- Python executable : /usr/bin/python3 -- Pythonlibs version : 3.10.13 -- Python library : /usr/lib64/libpython3.10.so.1.0 -- Python includes : /usr/include/python3.10 -- Python site-packages: lib/python3.10/site-packages -- BUILD_SHARED_LIBS : ON -- CAFFE2_USE_MSVC_STATIC_RUNTIME : OFF -- BUILD_TEST : False -- BUILD_JNI : OFF -- BUILD_MOBILE_AUTOGRAD : OFF -- BUILD_LITE_INTERPRETER: OFF -- INTERN_BUILD_MOBILE : -- TRACING_BASED : OFF -- USE_BLAS : 0 -- USE_LAPACK : 0 -- USE_ASAN : OFF -- USE_TSAN : OFF -- USE_CPP_CODE_COVERAGE : OFF -- USE_CUDA : ON -- Split CUDA : -- CUDA static link : OFF -- USE_CUDNN : ON -- USE_EXPERIMENTAL_CUDNN_V8_API: ON -- CUDA version : 12.1 -- USE_FLASH_ATTENTION : ON -- cuDNN version : 8.9.3 -- CUDA root directory : /usr/local/cuda -- CUDA library : /usr/local/cuda/lib64/stubs/libcuda.so -- cudart library : /usr/local/cuda/lib64/libcudart.so -- cublas library : /usr/local/cuda/lib64/libcublas.so;/usr/local/cuda/lib64/libcublasLt.so -- cufft library : /usr/local/cuda/lib64/libcufft.so -- curand library : /usr/local/cuda/lib64/libcurand.so -- cuDNN library : /usr/lib64/libcudnn.so -- nvrtc : /usr/local/cuda/lib64/libnvrtc.so -- CUDA include path : /usr/local/cuda/include -- NVCC executable : /usr/local/cuda-12.1/bin/nvcc -- CUDA compiler : /usr/local/cuda-12.1/bin/nvcc -- CUDA flags : -Xfatbin -compress-all -DONNX_NAMESPACE=onnx_torch -gencode arch=compute_60,code=sm_60 -gencode arch=compute_61,code=sm_61 -gencode arch=compute_70,code=sm_70 -gencode arch=compute_75,code=sm_75 -gencode arch=compute_80,code=sm_80 -gencode 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Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf-lite.dir/__/src/google/protobuf/io/zero_copy_stream_impl_lite.cc.o [ 1%] Building CXX object third_party/ideep/mkl-dnn/src/utils/CMakeFiles/dnnl_graph_utils.dir/pm/pbuilder.cpp.o [ 1%] Building CXX object third_party/ideep/mkl-dnn/src/interface/CMakeFiles/dnnl_graph_common.dir/backend.cpp.o [ 1%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/cpu_batch_normalization_utils.cpp.o [ 1%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/cpu_batch_normalization_list.cpp.o [ 1%] Building CXX object third_party/ideep/mkl-dnn/src/backend/fake/CMakeFiles/dnnl_graph_backend_fake.dir/fake_backend.cpp.o [ 1%] Building CXX object third_party/ideep/mkl-dnn/src/interface/CMakeFiles/dnnl_graph_common.dir/allocator.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/cpuinfo/deps/clog/src/clog.c: In function ‘clog_vlog_fatal’: 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/builddir/build/BUILD/pytorch-v2.0.1/third_party/cpuinfo/deps/clog/src/clog.c:273:25: warning: ignoring return value of ‘write’ declared with attribute ‘warn_unused_result’ [-Wunused-result] 273 | write(STDERR_FILENO, out_buffer, prefix_chars + format_chars + CLOG_SUFFIX_LENGTH); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/cpuinfo/deps/clog/src/clog.c: In function ‘clog_vlog_info’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/cpuinfo/deps/clog/src/clog.c:351:25: warning: ignoring return value of ‘write’ declared with attribute ‘warn_unused_result’ [-Wunused-result] 351 | write(STDOUT_FILENO, out_buffer, prefix_chars + format_chars + CLOG_SUFFIX_LENGTH); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/cpuinfo/deps/clog/src/clog.c: In function ‘clog_vlog_debug’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/cpuinfo/deps/clog/src/clog.c:429:25: warning: ignoring return value of ‘write’ declared with attribute ‘warn_unused_result’ [-Wunused-result] 429 | write(STDOUT_FILENO, out_buffer, prefix_chars + format_chars + CLOG_SUFFIX_LENGTH); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 1%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/common.cpp.o [ 1%] Building CXX object third_party/ideep/mkl-dnn/src/utils/CMakeFiles/dnnl_graph_utils.dir/rw_mutex.cpp.o [ 1%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/brgemm/brgemm.cpp.o [ 1%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/version.c.o [ 1%] Building CXX object c10/CMakeFiles/c10.dir/core/Allocator.cpp.o [ 1%] Building CXX object 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Linking C static library ../../lib/libfoxi_loader.a [ 2%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/cpuinfo.cpp.o [ 2%] Building CXX object third_party/fmt/CMakeFiles/fmt.dir/src/os.cc.o [ 3%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/core.c.o [ 3%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/dl.c.o [ 3%] Building C object sleef/src/common/CMakeFiles/common.dir/common.c.o [ 3%] No configure step for 'nccl_external' [ 3%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/brgemm/brgemm_utils.cpp.o [ 3%] Building C object sleef/src/libm/CMakeFiles/mkrename.dir/mkrename.c.o [ 3%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/emithelper.cpp.o [ 3%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/fs.c.o [ 3%] Built target foxi_loader [ 3%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/getaddrinfo.c.o [ 3%] Performing build step for 'nccl_external' [ 3%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/broadcast_strategy.cpp.o [ 3%] Linking C static library ../../../../lib/libclog.a [ 3%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/getnameinfo.c.o [ 3%] Building C object sleef/src/libm/CMakeFiles/mkalias.dir/mkalias.c.o [ 3%] Built target common [ 3%] Building C object sleef/src/libm/CMakeFiles/mkdisp.dir/mkdisp.c.o [ 3%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/brgemm/jit_brdgmm_kernel.cpp.o [ 3%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/io/zero_copy_stream_impl.cc.o [ 3%] Built target clog [ 3%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/io/zero_copy_stream_impl_lite.cc.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/uv-common.h:42, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/uv-common.c:23: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/uv-common.c: In function ‘uv_walk’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/queue.h:68:19: warning: storing the address of local variable ‘queue’ in ‘((void * (**)[2])MEM[(void *[2] * *)loop_13(D) + 16B])[1]’ [-Wdangling-pointer=] 68 | QUEUE_PREV(q) = (n); \ | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/queue.h:78:7: note: in expansion of macro ‘QUEUE_SPLIT’ 78 | QUEUE_SPLIT(h, q, n); \ | ^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/uv-common.c:491:3: note: in expansion of macro ‘QUEUE_MOVE’ 491 | QUEUE_MOVE(&loop->handle_queue, &queue); | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/uv-common.c:487:9: note: ‘queue’ declared here 487 | QUEUE queue; | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/queue.h:40:27: note: ‘((void * (**)[2])loop)[2]’ declared here 40 | ((const QUEUE *) (q) == (const QUEUE *) QUEUE_NEXT(q)) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/queue.h:74:9: note: in expansion of macro ‘QUEUE_EMPTY’ 74 | if (QUEUE_EMPTY(h)) \ | ^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/uv-common.c:491:3: note: in expansion of macro ‘QUEUE_MOVE’ 491 | QUEUE_MOVE(&loop->handle_queue, &queue); | ^~~~~~~~~~ [ 3%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/loop-watcher.c.o [ 3%] Linking C executable ../../bin/mkrename [ 3%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/loop.c.o [ 3%] Linking C executable ../../bin/mkdisp [ 3%] Linking C executable ../../bin/mkalias [ 3%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/pipe.c.o [ 3%] Built target mkrename [ 3%] Built target mkdisp [ 3%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf-lite.dir/__/src/google/protobuf/message_lite.cc.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/transport/pair.h:13, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/context.h:15, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allgather.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allgather.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h: In instantiation of ‘gloo::enforce_detail::EnforceFailMessage gloo::enforce_detail::Equals(const T1&, const T2&) [with T1 = long unsigned int; T2 = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allgather.cc:41:5: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:124:28: warning: comparison of integer expressions of different signedness: ‘const long unsigned int’ and ‘const int’ [-Wsign-compare] 124 | BINARY_COMP_HELPER(Equals, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:119:11: note: in definition of macro ‘BINARY_COMP_HELPER’ 119 | if (x op y) { \ | ^~ Generating nccl.h.in > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/include/nccl.h [ 3%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/emitter.cpp.o [ 3%] Built target mkalias [ 3%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf-lite.dir/__/src/google/protobuf/parse_context.cc.o [ 3%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/brgemm/jit_brgemm_amx_uker.cpp.o [ 3%] Building C object caffe2/CMakeFiles/torch_global_deps.dir/__/torch/csrc/empty.c.o [ 3%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/poll.c.o Grabbing include/nccl_net.h > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/include/nccl_net.h [ 3%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/process.c.o [ 3%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/emitterutils.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/zero_copy_stream_impl_lite.cc: In member function ‘virtual bool google::protobuf::io::StringOutputStream::Next(void**, int*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/zero_copy_stream_impl_lite.cc:146:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 146 | if (old_size < target_->capacity()) { | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/zero_copy_stream_impl_lite.cc:41: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/zero_copy_stream_impl_lite.cc: In member function ‘virtual void google::protobuf::io::StringOutputStream::BackUp(int)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:159:48: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 159 | #define GOOGLE_CHECK_LE(A, B) GOOGLE_CHECK((A) <= (B)) | ~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:151:5: note: in definition of macro ‘GOOGLE_LOG_IF’ 151 | !(CONDITION) ? (void)0 : GOOGLE_LOG(LEVEL) | ^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:159:31: note: in expansion of macro ‘GOOGLE_CHECK’ 159 | #define GOOGLE_CHECK_LE(A, B) GOOGLE_CHECK((A) <= (B)) | ^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/zero_copy_stream_impl_lite.cc:175:3: note: in expansion of macro ‘GOOGLE_CHECK_LE’ 175 | GOOGLE_CHECK_LE(count, target_->size()); | ^~~~~~~~~~~~~~~ [ 3%] Generating ATen headers [ 3%] Linking C shared library ../lib/libtorch_global_deps.so Generating nccl.pc.in > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/lib/pkgconfig/nccl.pc /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc: In member function ‘bool google::protobuf::io::CodedInputStream::ReadLittleEndian32Fallback(google::protobuf::uint32*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:315:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 315 | if (BufferSize() >= sizeof(*value)) { | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc: In member function ‘bool google::protobuf::io::CodedInputStream::ReadLittleEndian64Fallback(google::protobuf::uint64*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:332:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 332 | if (BufferSize() >= sizeof(*value)) { | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc: In member function ‘bool google::protobuf::io::CodedInputStream::ReadLittleEndian32Fallback(google::protobuf::uint32*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:315:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 315 | if (BufferSize() >= sizeof(*value)) { | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc: In member function ‘bool google::protobuf::io::CodedInputStream::ReadLittleEndian64Fallback(google::protobuf::uint64*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:332:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 332 | if (BufferSize() >= sizeof(*value)) { | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ [ 3%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/random-devurandom.c.o [ 3%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/message_lite.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_enum_util.cc: In function ‘bool google::protobuf::internal::InitializeEnumStrings(const EnumEntry*, const int*, size_t, ExplicitlyConstructed >*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_enum_util.cc:86:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (int i = 0; i < size; ++i) { | ~~^~~~~~ [ 3%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/constant_cache.cpp.o Compiling init.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/init.o [ 3%] Built target python_copy_files [ 3%] Generating ATen headers [ 3%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/environment.cpp.o [ 3%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/parse_context.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc: In instantiation of ‘const google::protobuf::uint8* google::protobuf::io::{anonymous}::DecodeVarint64KnownSize(const google::protobuf::uint8*, google::protobuf::uint64*) [with long unsigned int N = 2; google::protobuf::uint8 = unsigned char; google::protobuf::uint64 = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:421:38: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:354:33: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 354 | for (int i = 0, offset = 0; i < N - 1; i++, offset += 7) { | ~~^~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc: In instantiation of ‘const google::protobuf::uint8* google::protobuf::io::{anonymous}::DecodeVarint64KnownSize(const google::protobuf::uint8*, google::protobuf::uint64*) [with long unsigned int N = 3; google::protobuf::uint8 = unsigned char; google::protobuf::uint64 = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:423:38: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:354:33: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc: In instantiation of ‘const google::protobuf::uint8* google::protobuf::io::{anonymous}::DecodeVarint64KnownSize(const google::protobuf::uint8*, google::protobuf::uint64*) [with long unsigned int N = 2; google::protobuf::uint8 = unsigned char; google::protobuf::uint64 = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:421:38: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:354:33: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 354 | for (int i = 0, offset = 0; i < N - 1; i++, offset += 7) { | ~~^~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc: In instantiation of ‘const google::protobuf::uint8* google::protobuf::io::{anonymous}::DecodeVarint64KnownSize(const google::protobuf::uint8*, google::protobuf::uint64*) [with long unsigned int N = 3; google::protobuf::uint8 = unsigned char; google::protobuf::uint64 = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:423:38: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:354:33: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc: In instantiation of ‘const google::protobuf::uint8* google::protobuf::io::{anonymous}::DecodeVarint64KnownSize(const google::protobuf::uint8*, google::protobuf::uint64*) [with long unsigned int N = 4; google::protobuf::uint8 = unsigned char; google::protobuf::uint64 = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:425:38: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:354:33: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc: In instantiation of ‘const google::protobuf::uint8* google::protobuf::io::{anonymous}::DecodeVarint64KnownSize(const google::protobuf::uint8*, google::protobuf::uint64*) [with long unsigned int N = 5; google::protobuf::uint8 = unsigned char; google::protobuf::uint64 = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:427:38: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:354:33: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc: In instantiation of ‘const google::protobuf::uint8* google::protobuf::io::{anonymous}::DecodeVarint64KnownSize(const google::protobuf::uint8*, google::protobuf::uint64*) [with long unsigned int N = 6; google::protobuf::uint8 = unsigned char; google::protobuf::uint64 = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:429:38: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:354:33: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc: In instantiation of ‘const google::protobuf::uint8* google::protobuf::io::{anonymous}::DecodeVarint64KnownSize(const google::protobuf::uint8*, google::protobuf::uint64*) [with long unsigned int N = 7; google::protobuf::uint8 = unsigned char; google::protobuf::uint64 = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:431:38: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:354:33: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc: In instantiation of ‘const google::protobuf::uint8* google::protobuf::io::{anonymous}::DecodeVarint64KnownSize(const google::protobuf::uint8*, google::protobuf::uint64*) [with long unsigned int N = 8; google::protobuf::uint8 = unsigned char; google::protobuf::uint64 = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:433:38: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:354:33: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc: In instantiation of ‘const google::protobuf::uint8* google::protobuf::io::{anonymous}::DecodeVarint64KnownSize(const google::protobuf::uint8*, google::protobuf::uint64*) [with long unsigned int N = 9; google::protobuf::uint8 = unsigned char; google::protobuf::uint64 = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:435:38: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:354:33: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc: In instantiation of ‘const google::protobuf::uint8* google::protobuf::io::{anonymous}::DecodeVarint64KnownSize(const google::protobuf::uint8*, google::protobuf::uint64*) [with long unsigned int N = 10; google::protobuf::uint8 = unsigned char; google::protobuf::uint64 = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:437:39: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:354:33: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] [ 3%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/cache_blob_id.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc: In instantiation of ‘const google::protobuf::uint8* google::protobuf::io::{anonymous}::DecodeVarint64KnownSize(const google::protobuf::uint8*, google::protobuf::uint64*) [with long unsigned int N = 4; google::protobuf::uint8 = unsigned char; google::protobuf::uint64 = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:425:38: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:354:33: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc: In instantiation of ‘const google::protobuf::uint8* google::protobuf::io::{anonymous}::DecodeVarint64KnownSize(const google::protobuf::uint8*, google::protobuf::uint64*) [with long unsigned int N = 5; google::protobuf::uint8 = unsigned char; google::protobuf::uint64 = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:427:38: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:354:33: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc: In instantiation of ‘const google::protobuf::uint8* google::protobuf::io::{anonymous}::DecodeVarint64KnownSize(const google::protobuf::uint8*, google::protobuf::uint64*) [with long unsigned int N = 6; google::protobuf::uint8 = unsigned char; google::protobuf::uint64 = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:429:38: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:354:33: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc: In instantiation of ‘const google::protobuf::uint8* google::protobuf::io::{anonymous}::DecodeVarint64KnownSize(const google::protobuf::uint8*, google::protobuf::uint64*) [with long unsigned int N = 7; google::protobuf::uint8 = unsigned char; google::protobuf::uint64 = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:431:38: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:354:33: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc: In instantiation of ‘const google::protobuf::uint8* google::protobuf::io::{anonymous}::DecodeVarint64KnownSize(const google::protobuf::uint8*, google::protobuf::uint64*) [with long unsigned int N = 8; google::protobuf::uint8 = unsigned char; google::protobuf::uint64 = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:433:38: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:354:33: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc: In instantiation of ‘const google::protobuf::uint8* google::protobuf::io::{anonymous}::DecodeVarint64KnownSize(const google::protobuf::uint8*, google::protobuf::uint64*) [with long unsigned int N = 9; google::protobuf::uint8 = unsigned char; google::protobuf::uint64 = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:435:38: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:354:33: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc: In instantiation of ‘const google::protobuf::uint8* google::protobuf::io::{anonymous}::DecodeVarint64KnownSize(const google::protobuf::uint8*, google::protobuf::uint64*) [with long unsigned int N = 10; google::protobuf::uint8 = unsigned char; google::protobuf::uint64 = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:437:39: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:354:33: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_enum_util.cc: In function ‘bool google::protobuf::internal::InitializeEnumStrings(const EnumEntry*, const int*, size_t, ExplicitlyConstructed >*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_enum_util.cc:86:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (int i = 0; i < size; ++i) { | ~~^~~~~~ [ 3%] Linking CXX shared library ../lib/libcaffe2_nvrtc.so [ 3%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/concat.cpp.o [ 3%] Building C object sleef/src/libm/CMakeFiles/mkrename_gnuabi.dir/mkrename_gnuabi.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.cc:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.h: In instantiation of ‘void google::protobuf::internal::ResetOneofField(const ParseTable&, int, google::protobuf::Arena*, google::protobuf::MessageLite*, google::protobuf::uint32*, google::protobuf::int64, const void*) [with ProcessingType field_type = google::protobuf::internal::ProcessingType_STRING; google::protobuf::uint32 = unsigned int; google::protobuf::int64 = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.h:510:49: required from ‘bool google::protobuf::internal::MergePartialFromCodedStreamInlined(google::protobuf::MessageLite*, const ParseTable&, google::protobuf::io::CodedInputStream*) [with UnknownFieldHandler = {anonymous}::UnknownFieldHandlerLite; unsigned int kMaxTag = 127]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.h:858:73: required from ‘bool google::protobuf::internal::MergePartialFromCodedStreamImpl(google::protobuf::MessageLite*, const ParseTable&, google::protobuf::io::CodedInputStream*) [with UnknownFieldHandler = {anonymous}::UnknownFieldHandlerLite]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.cc:100:66: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.h:184:19: warning: comparison of integer expressions of different signedness: ‘google::protobuf::uint32’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] 184 | if (*oneof_case == field_number) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.h: In instantiation of ‘void google::protobuf::internal::ResetOneofField(const ParseTable&, int, google::protobuf::Arena*, google::protobuf::MessageLite*, google::protobuf::uint32*, google::protobuf::int64, const void*) [with ProcessingType field_type = google::protobuf::internal::ProcessingType_MESSAGE; google::protobuf::uint32 = unsigned int; google::protobuf::int64 = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.h:703:50: required from ‘bool google::protobuf::internal::MergePartialFromCodedStreamInlined(google::protobuf::MessageLite*, const ParseTable&, google::protobuf::io::CodedInputStream*) [with UnknownFieldHandler = {anonymous}::UnknownFieldHandlerLite; unsigned int kMaxTag = 127]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.h:858:73: required from ‘bool google::protobuf::internal::MergePartialFromCodedStreamImpl(google::protobuf::MessageLite*, const ParseTable&, google::protobuf::io::CodedInputStream*) [with UnknownFieldHandler = {anonymous}::UnknownFieldHandlerLite]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.cc:100:66: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.h:184:19: warning: comparison of integer expressions of different signedness: ‘google::protobuf::uint32’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc: In instantiation of ‘void gloo::AllreduceLocal::run() [with T = signed char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:43:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:31:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 31 | for (int i = 1; i < ptrs_.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:35:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 35 | for (int i = 1; i < ptrs_.size(); i++) { | ~~^~~~~~~~~~~~~~ [ 3%] Built target torch_global_deps /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc: In instantiation of ‘void gloo::AllreduceLocal::run() [with T = unsigned char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:44:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:31:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 31 | for (int i = 1; i < ptrs_.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:35:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 35 | for (int i = 1; i < ptrs_.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc: In instantiation of ‘void gloo::AllreduceLocal::run() [with T = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:45:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:31:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 31 | for (int i = 1; i < ptrs_.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:35:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 35 | for (int i = 1; i < ptrs_.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc: In instantiation of ‘void gloo::AllreduceLocal::run() [with T = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:46:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:31:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 31 | for (int i = 1; i < ptrs_.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:35:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 35 | for (int i = 1; i < ptrs_.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc: In instantiation of ‘void gloo::AllreduceLocal::run() [with T = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:47:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:31:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 31 | for (int i = 1; i < ptrs_.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:35:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 35 | for (int i = 1; i < ptrs_.size(); i++) { | ~~^~~~~~~~~~~~~~ [ 3%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf-lite.dir/__/src/google/protobuf/repeated_field.cc.o [ 3%] Generating ATen sources /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc: In instantiation of ‘void gloo::AllreduceLocal::run() [with T = float]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:48:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:31:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 31 | for (int i = 1; i < ptrs_.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:35:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 35 | for (int i = 1; i < ptrs_.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc: In instantiation of ‘void gloo::AllreduceLocal::run() [with T = double]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:49:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:31:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 31 | for (int i = 1; i < ptrs_.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:35:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 35 | for (int i = 1; i < ptrs_.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc: In instantiation of ‘void gloo::AllreduceLocal::run() [with T = gloo::float16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:50:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:31:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 31 | for (int i = 1; i < ptrs_.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:35:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 35 | for (int i = 1; i < ptrs_.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:36:11: warning: ‘void* memcpy(void*, const void*, size_t)’ writing to an object of type ‘struct gloo::float16’ with no trivial copy-assignment; use copy-assignment or copy-initialization instead [-Wclass-memaccess] 36 | memcpy(ptrs_[i], ptrs_[0], bytes_); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/algorithm.h:14, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/types.h:96:19: note: ‘struct gloo::float16’ declared here 96 | struct alignas(2) float16 { | ^~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc: In instantiation of ‘void gloo::AllreduceLocal::run() [with T = char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:52:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:31:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 31 | for (int i = 1; i < ptrs_.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:35:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 35 | for (int i = 1; i < ptrs_.size(); i++) { | ~~^~~~~~~~~~~~~~ [ 3%] Built target convolution-test-helpers [ 3%] Building C object sleef/src/libm/CMakeFiles/mkmasked_gnuabi.dir/mkmasked_gnuabi.c.o [ 3%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/signal.c.o [ 3%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/stream.c.o [ 3%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/tcp.c.o [ 3%] Building CXX object third_party/ideep/mkl-dnn/src/utils/CMakeFiles/dnnl_graph_utils.dir/utils.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/transport/pair.h:13, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/context.h:15, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allgatherv.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allgatherv.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h: In instantiation of ‘gloo::enforce_detail::EnforceFailMessage gloo::enforce_detail::Equals(const T1&, const T2&) [with T1 = long unsigned int; T2 = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allgatherv.cc:53:3: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:124:28: warning: comparison of integer expressions of different signedness: ‘const long unsigned int’ and ‘const int’ [-Wsign-compare] 124 | BINARY_COMP_HELPER(Equals, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:119:11: note: in definition of macro ‘BINARY_COMP_HELPER’ 119 | if (x op y) { \ | ^~ [ 3%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/repeated_field.cc.o [ 3%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/errorhandler.cpp.o [ 3%] Linking C executable ../../bin/mkrename_gnuabi /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce.cc: In function ‘void gloo::{anonymous}::allreduce(const gloo::detail::AllreduceOptionsImpl&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce.cc:105:14: warning: variable ‘slot’ set but not used [-Wunused-but-set-variable] 105 | const auto slot = Slot::build(kAllreduceSlotPrefix, opts.tag); | ^~~~ [ 3%] Generating ATen sources [ 3%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/convolution.cpp.o [ 3%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/cpu_binary_list.cpp.o [ 3%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/stubs/bytestream.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce.cc: In function ‘void gloo::{anonymous}::ring(const gloo::detail::AllreduceOptionsImpl&, ReduceRangeFunction, BroadcastRangeFunction)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce.cc:279:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 279 | for (auto i = 0; i < (numSegments - numSegmentsPerRank + 2); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 3%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/dnnl_backend.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce.cc:307:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 307 | if (i < (numSegments - numSegmentsPerRank)) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce.cc:315:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 315 | if (i < numSegmentsPerRank) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce.cc:362:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 362 | for (auto i = 0; i < (numSegments - numSegmentsPerRank + 2); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce.cc:379:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 379 | if (i < (numSegments - numSegmentsPerRank)) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce.cc:387:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 387 | if (i < numSegmentsPerRank) { | ~~^~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.cc:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.h: In instantiation of ‘void google::protobuf::internal::ResetOneofField(const ParseTable&, int, google::protobuf::Arena*, google::protobuf::MessageLite*, google::protobuf::uint32*, google::protobuf::int64, const void*) [with ProcessingType field_type = google::protobuf::internal::ProcessingType_STRING; google::protobuf::uint32 = unsigned int; google::protobuf::int64 = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.h:510:49: required from ‘bool google::protobuf::internal::MergePartialFromCodedStreamInlined(google::protobuf::MessageLite*, const ParseTable&, google::protobuf::io::CodedInputStream*) [with UnknownFieldHandler = {anonymous}::UnknownFieldHandlerLite; unsigned int kMaxTag = 127]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.h:858:73: required from ‘bool google::protobuf::internal::MergePartialFromCodedStreamImpl(google::protobuf::MessageLite*, const ParseTable&, google::protobuf::io::CodedInputStream*) [with UnknownFieldHandler = {anonymous}::UnknownFieldHandlerLite]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.cc:100:66: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.h:184:19: warning: comparison of integer expressions of different signedness: ‘google::protobuf::uint32’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] 184 | if (*oneof_case == field_number) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce.cc: In function ‘void gloo::{anonymous}::bcube(const gloo::detail::AllreduceOptionsImpl&, ReduceRangeFunction, BroadcastRangeFunction)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce.cc:527:15: warning: comparison of integer expressions of different signedness: ‘const long unsigned int’ and ‘const int’ [-Wsign-compare] 527 | if (src == context->rank) { | ~~~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce.cc:540:15: warning: comparison of integer expressions of different signedness: ‘const long unsigned int’ and ‘const int’ [-Wsign-compare] 540 | if (dst == context->rank) { | ~~~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.h: In instantiation of ‘void google::protobuf::internal::ResetOneofField(const ParseTable&, int, google::protobuf::Arena*, google::protobuf::MessageLite*, google::protobuf::uint32*, google::protobuf::int64, const void*) [with ProcessingType field_type = google::protobuf::internal::ProcessingType_MESSAGE; google::protobuf::uint32 = unsigned int; google::protobuf::int64 = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.h:703:50: required from ‘bool google::protobuf::internal::MergePartialFromCodedStreamInlined(google::protobuf::MessageLite*, const ParseTable&, google::protobuf::io::CodedInputStream*) [with UnknownFieldHandler = {anonymous}::UnknownFieldHandlerLite; unsigned int kMaxTag = 127]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.h:858:73: required from ‘bool google::protobuf::internal::MergePartialFromCodedStreamImpl(google::protobuf::MessageLite*, const ParseTable&, google::protobuf::io::CodedInputStream*) [with UnknownFieldHandler = {anonymous}::UnknownFieldHandlerLite]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.cc:100:66: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.h:184:19: warning: comparison of integer expressions of different signedness: ‘google::protobuf::uint32’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/zero_copy_stream_impl_lite.cc: In member function ‘virtual bool google::protobuf::io::StringOutputStream::Next(void**, int*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/zero_copy_stream_impl_lite.cc:146:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 146 | if (old_size < target_->capacity()) { | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/zero_copy_stream_impl_lite.cc:41: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/zero_copy_stream_impl_lite.cc: In member function ‘virtual void google::protobuf::io::StringOutputStream::BackUp(int)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:159:48: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 159 | #define GOOGLE_CHECK_LE(A, B) GOOGLE_CHECK((A) <= (B)) | ~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:151:5: note: in definition of macro ‘GOOGLE_LOG_IF’ 151 | !(CONDITION) ? (void)0 : GOOGLE_LOG(LEVEL) | ^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:159:31: note: in expansion of macro ‘GOOGLE_CHECK’ 159 | #define GOOGLE_CHECK_LE(A, B) GOOGLE_CHECK((A) <= (B)) | ^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/zero_copy_stream_impl_lite.cc:175:3: note: in expansion of macro ‘GOOGLE_CHECK_LE’ 175 | GOOGLE_CHECK_LE(count, target_->size()); | ^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce.cc:566:16: warning: comparison of integer expressions of different signedness: ‘const long unsigned int’ and ‘const int’ [-Wsign-compare] 566 | if (peer == context->rank) { | ~~~~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce.cc:583:15: warning: comparison of integer expressions of different signedness: ‘const long unsigned int’ and ‘const int’ [-Wsign-compare] 583 | if (src == context->rank) { | ~~~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce.cc:613:15: warning: comparison of integer expressions of different signedness: ‘const long unsigned int’ and ‘const int’ [-Wsign-compare] 613 | if (src == context->rank) { | ~~~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce.cc:633:15: warning: comparison of integer expressions of different signedness: ‘const long unsigned int’ and ‘const int’ [-Wsign-compare] 633 | if (dst == context->rank) { | ~~~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce.cc:646:16: warning: comparison of integer expressions of different signedness: ‘const long unsigned int’ and ‘const int’ [-Wsign-compare] 646 | if (peer == context->rank) { | ~~~~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce.cc:656:16: warning: comparison of integer expressions of different signedness: ‘const long unsigned int’ and ‘const int’ [-Wsign-compare] 656 | if (peer == context->rank) { | ~~~~~^~~~~~~~~~~~~~~~ [ 3%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf-lite.dir/__/src/google/protobuf/stubs/bytestream.cc.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/transport/pair.h:13, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/context.h:15, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce.h:15, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h: In instantiation of ‘gloo::enforce_detail::EnforceFailMessage gloo::enforce_detail::Greater(const T1&, const T2&) [with T1 = long unsigned int; T2 = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce.cc:108:3: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:126:29: warning: comparison of integer expressions of different signedness: ‘const long unsigned int’ and ‘const int’ [-Wsign-compare] 126 | BINARY_COMP_HELPER(Greater, >) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:119:11: note: in definition of macro ‘BINARY_COMP_HELPER’ 119 | if (x op y) { \ | ^~ [ 3%] Built target mkrename_gnuabi /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h: In instantiation of ‘gloo::enforce_detail::EnforceFailMessage gloo::enforce_detail::Equals(const T1&, const T2&) [with T1 = long unsigned int; T2 = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce.cc:215:3: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:124:28: warning: comparison of integer expressions of different signedness: ‘const long unsigned int’ and ‘const int’ [-Wsign-compare] 124 | BINARY_COMP_HELPER(Equals, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:119:11: note: in definition of macro ‘BINARY_COMP_HELPER’ 119 | if (x op y) { \ | ^~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h: In instantiation of ‘gloo::enforce_detail::EnforceFailMessage gloo::enforce_detail::GreaterEquals(const T1&, const T2&) [with T1 = long unsigned int; T2 = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce.cc:216:3: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:127:35: warning: comparison of integer expressions of different signedness: ‘const long unsigned int’ and ‘const int’ [-Wsign-compare] 127 | BINARY_COMP_HELPER(GreaterEquals, >=) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:119:11: note: in definition of macro ‘BINARY_COMP_HELPER’ 119 | if (x op y) { \ | ^~ [ 3%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/convolution_pd.cpp.o [ 3%] Linking C executable ../../bin/mkmasked_gnuabi [ 3%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf-lite.dir/__/src/google/protobuf/stubs/common.cc.o [ 3%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/formatter.cpp.o [ 3%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/deconvolution.cpp.o [ 3%] Built target caffe2_nvrtc In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/uv-common.h:42, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/unix/internal.h:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/unix/stream.c:23: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/unix/stream.c: In function ‘uv__write_callbacks’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/queue.h:68:19: warning: storing the address of local variable ‘pq’ in ‘((void * (**)[2])MEM[(void *[2] * *)stream_24(D) + 208B])[1]’ [-Wdangling-pointer=] 68 | QUEUE_PREV(q) = (n); \ | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/queue.h:78:7: note: in expansion of macro ‘QUEUE_SPLIT’ 78 | QUEUE_SPLIT(h, q, n); \ | ^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/unix/stream.c:935:3: note: in expansion of macro ‘QUEUE_MOVE’ 935 | QUEUE_MOVE(&stream->write_completed_queue, &pq); | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/unix/stream.c:930:9: note: ‘pq’ declared here 930 | QUEUE pq; | ^~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/queue.h:40:27: note: ‘((void * (**)[2])stream)[26]’ declared here 40 | ((const QUEUE *) (q) == (const QUEUE *) QUEUE_NEXT(q)) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/unix/stream.c:932:7: note: in expansion of macro ‘QUEUE_EMPTY’ 932 | if (QUEUE_EMPTY(&stream->write_completed_queue)) | ^~~~~~~~~~~ [ 3%] Linking C static library ../../lib/libittnotify.a [ 3%] Building C object sleef/src/common/CMakeFiles/arraymap.dir/arraymap.c.o [ 3%] Building CXX object c10/CMakeFiles/c10.dir/core/AutogradState.cpp.o [ 3%] Built target mkmasked_gnuabi [ 3%] Building CXX object third_party/ideep/mkl-dnn/src/interface/CMakeFiles/dnnl_graph_common.dir/engine.cpp.o [ 3%] Building C object sleef/src/common/CMakeFiles/addSuffix.dir/addSuffix.c.o [ 3%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/func.cpp.o [ 3%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/thread.c.o [ 3%] Building CXX object third_party/ideep/mkl-dnn/src/interface/CMakeFiles/dnnl_graph_common.dir/graph.cpp.o [ 3%] Building CXX object c10/CMakeFiles/c10.dir/core/CPUAllocator.cpp.o [ 3%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/cpu_concat.cpp.o [ 3%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/stubs/common.cc.o [ 3%] Generating /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/generated/Functions.cpp, /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/generated/VariableType_0.cpp, /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/generated/VariableType_1.cpp, /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/generated/VariableType_2.cpp, /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/generated/VariableType_3.cpp, /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/generated/VariableType_4.cpp, /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/generated/TraceType_0.cpp, /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/generated/TraceType_1.cpp, /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/generated/TraceType_2.cpp, /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/generated/TraceType_3.cpp, /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/generated/TraceType_4.cpp, /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/generated/ADInplaceOrViewType_0.cpp, /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/generated/ADInplaceOrViewType_1.cpp, /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/lazy/generated/LazyNativeFunctions.cpp, /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/lazy/generated/RegisterAutogradLazy.cpp, /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/lazy/generated/RegisterLazy.cpp, /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/generated/Functions.h, /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/generated/variable_factories.h, /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/generated/VariableType.h, /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/lazy/generated/LazyIr.h, /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/lazy/generated/LazyNonNativeIr.h, /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/lazy/generated/LazyNativeFunctions.h, /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/generated/python_functions_0.cpp, /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/generated/python_functions_1.cpp, /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/generated/python_functions_2.cpp, /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/generated/python_functions_3.cpp, /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/generated/python_functions_4.cpp, /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/generated/python_variable_methods.cpp, /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/generated/python_torch_functions_0.cpp, /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/generated/python_torch_functions_1.cpp, /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/generated/python_torch_functions_2.cpp, /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/generated/python_nn_functions.cpp, /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/generated/python_fft_functions.cpp, /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/generated/python_linalg_functions.cpp, /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/generated/python_nested_functions.cpp, /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/generated/python_sparse_functions.cpp, /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/generated/python_special_functions.cpp, /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/generated/python_return_types.cpp, /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/generated/python_enum_tag.cpp, /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/generated/python_functions.h, /builddir/build/BUILD/pytorch-v2.0.1/torch/testing/_internal/generated/annotated_fn_args.py [ 3%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/funcargscontext.cpp.o [ 3%] Built target ittnotify [ 4%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/stubs/int128.cc.o [ 4%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/alltoallv.cc.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/dnnl_debug.cpp.o [ 4%] Generating ATen declarations_yaml [ 4%] Building CXX object third_party/ideep/mkl-dnn/src/interface/CMakeFiles/dnnl_graph_common.dir/logical_tensor.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/unix/thread.c: In function ‘thread_stack_size’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/unix/thread.c:195:24: warning: comparison of integer expressions of different signedness: ‘rlim_t’ {aka ‘long unsigned int’} and ‘long int’ [-Wsign-compare] 195 | if (lim.rlim_cur >= PTHREAD_STACK_MIN) | ^~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/unix/thread.c: In function ‘uv_thread_create_ex’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/unix/thread.c:243:20: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘long int’ [-Wsign-compare] 243 | if (stack_size < PTHREAD_STACK_MIN) | ^ [ 4%] Generating /builddir/build/BUILD/pytorch-v2.0.1/torch/_C/__init__.pyi, /builddir/build/BUILD/pytorch-v2.0.1/torch/_C/_VariableFunctions.pyi, /builddir/build/BUILD/pytorch-v2.0.1/torch/nn/functional.pyi [ 4%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/dnnl_shape_infer.cpp.o [ 4%] Generating /builddir/build/BUILD/pytorch-v2.0.1/torch/version.py [ 4%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/globals.cpp.o [ 4%] Linking C executable ../../bin/addSuffix [ 4%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/inst.cpp.o [ 4%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/tty.c.o [ 4%] Built target arraymap [ 4%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/barrier.cc.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:60, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.cc:35: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.cc: In member function ‘void** google::protobuf::internal::RepeatedPtrFieldBase::InternalExtend(int)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:159:48: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 159 | #define GOOGLE_CHECK_LE(A, B) GOOGLE_CHECK((A) <= (B)) | ~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:151:5: note: in definition of macro ‘GOOGLE_LOG_IF’ 151 | !(CONDITION) ? (void)0 : GOOGLE_LOG(LEVEL) | ^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:159:31: note: in expansion of macro ‘GOOGLE_CHECK’ 159 | #define GOOGLE_CHECK_LE(A, B) GOOGLE_CHECK((A) <= (B)) | ^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.cc:61:3: note: in expansion of macro ‘GOOGLE_CHECK_LE’ 61 | GOOGLE_CHECK_LE(new_size, (std::numeric_limits::max() - kRepHeaderSize) / | ^~~~~~~~~~~~~~~ [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/brgemm/jit_brgemm_kernel.cpp.o [ 4%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/stubs/status.cc.o [ 4%] Built target addSuffix [ 4%] Built target nvfuser_rt_UnpackRaw [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/dnnl_debug_autogenerated.cpp.o [ 4%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/stubs/statusor.cc.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/bytestream.cc:36: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/bytestream.cc: In member function ‘virtual void google::protobuf::strings::ArrayByteSource::Skip(size_t)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:186:50: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘google::protobuf::stringpiece_ssize_type’ {aka ‘long int’} [-Wsign-compare] 186 | #define GOOGLE_DCHECK_LE(A, B) GOOGLE_DCHECK((A) <= (B)) | ~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:151:5: note: in definition of macro ‘GOOGLE_LOG_IF’ 151 | !(CONDITION) ? (void)0 : GOOGLE_LOG(LEVEL) | ^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:181:48: note: in expansion of macro ‘GOOGLE_CHECK’ 181 | #define GOOGLE_DCHECK(EXPRESSION) while(false) GOOGLE_CHECK(EXPRESSION) | ^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:186:32: note: in expansion of macro ‘GOOGLE_DCHECK’ 186 | #define GOOGLE_DCHECK_LE(A, B) GOOGLE_DCHECK((A) <= (B)) | ^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/bytestream.cc:157:3: note: in expansion of macro ‘GOOGLE_DCHECK_LE’ 157 | GOOGLE_DCHECK_LE(n, input_.size()); | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/bytestream.cc: In member function ‘virtual google::protobuf::StringPiece google::protobuf::strings::LimitByteSource::Peek()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/bytestream.cc:177:20: warning: comparison of integer expressions of different signedness: ‘google::protobuf::stringpiece_ssize_type’ {aka ‘long int’} and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 177 | if (piece.size() > limit_) { | ~~~~~~~~~~~~~^~~~~~~~ [ 4%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/udp.c.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/src/interface/CMakeFiles/dnnl_graph_common.dir/op.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:60, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.cc:35: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.cc: In member function ‘void** google::protobuf::internal::RepeatedPtrFieldBase::InternalExtend(int)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:159:48: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 159 | #define GOOGLE_CHECK_LE(A, B) GOOGLE_CHECK((A) <= (B)) | ~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:151:5: note: in definition of macro ‘GOOGLE_LOG_IF’ 151 | !(CONDITION) ? (void)0 : GOOGLE_LOG(LEVEL) | ^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:159:31: note: in expansion of macro ‘GOOGLE_CHECK’ 159 | #define GOOGLE_CHECK_LE(A, B) GOOGLE_CHECK((A) <= (B)) | ^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.cc:61:3: note: in expansion of macro ‘GOOGLE_CHECK_LE’ 61 | GOOGLE_CHECK_LE(new_size, (std::numeric_limits::max() - kRepHeaderSize) / | ^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/message_lite.cc: In member function ‘bool google::protobuf::MessageLite::SerializePartialToCodedStream(google::protobuf::io::CodedOutputStream*) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/message_lite.cc:392:46: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 392 | if (final_byte_count - original_byte_count != size) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/message_lite.cc: In member function ‘bool google::protobuf::MessageLite::SerializePartialToArray(void*, int) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/message_lite.cc:491:12: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 491 | if (size < byte_size) return false; | ~~~~~^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/message_lite.cc: In member function ‘bool google::protobuf::MessageLite::SerializePartialToCodedStream(google::protobuf::io::CodedOutputStream*) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/message_lite.cc:392:46: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 392 | if (final_byte_count - original_byte_count != size) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/message_lite.cc: In member function ‘bool google::protobuf::MessageLite::SerializePartialToArray(void*, int) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/message_lite.cc:491:12: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 491 | if (size < byte_size) return false; | ~~~~~^~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/bytestream.cc:36: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/bytestream.cc: In member function ‘virtual void google::protobuf::strings::ArrayByteSource::Skip(size_t)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:186:50: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘google::protobuf::stringpiece_ssize_type’ {aka ‘long int’} [-Wsign-compare] 186 | #define GOOGLE_DCHECK_LE(A, B) GOOGLE_DCHECK((A) <= (B)) | ~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:151:5: note: in definition of macro ‘GOOGLE_LOG_IF’ 151 | !(CONDITION) ? (void)0 : GOOGLE_LOG(LEVEL) | ^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:181:48: note: in expansion of macro ‘GOOGLE_CHECK’ 181 | #define GOOGLE_DCHECK(EXPRESSION) while(false) GOOGLE_CHECK(EXPRESSION) | ^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:186:32: note: in expansion of macro ‘GOOGLE_DCHECK’ 186 | #define GOOGLE_DCHECK_LE(A, B) GOOGLE_DCHECK((A) <= (B)) | ^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/bytestream.cc:157:3: note: in expansion of macro ‘GOOGLE_DCHECK_LE’ 157 | GOOGLE_DCHECK_LE(n, input_.size()); | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/bytestream.cc: In member function ‘virtual google::protobuf::StringPiece google::protobuf::strings::LimitByteSource::Peek()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/bytestream.cc:177:20: warning: comparison of integer expressions of different signedness: ‘google::protobuf::stringpiece_ssize_type’ {aka ‘long int’} and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 177 | if (piece.size() > limit_) { | ~~~~~~~~~~~~~^~~~~~~~ [ 4%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/proctitle.c.o [ 4%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf-lite.dir/__/src/google/protobuf/stubs/int128.cc.o [ 4%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/linux-core.c.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/dnnl_threadpool.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/int128.cc: In function ‘std::ostream& google::protobuf::operator<<(std::ostream&, const uint128&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/int128.cc:178:13: warning: comparison of integer expressions of different signedness: ‘std::streamsize’ {aka ‘long int’} and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 178 | if (width > rep.size()) { | ~~~~~~^~~~~~~~~~~~ [ 4%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf-lite.dir/__/src/google/protobuf/stubs/status.cc.o [ 4%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/linux-inotify.c.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/eltwise.cpp.o [ 4%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/stubs/stringpiece.cc.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/cpu_convolution_list.cpp.o [ 4%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/stubs/stringprintf.cc.o [ 4%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/jitallocator.cpp.o [ 4%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/jitruntime.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/alltoallv.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/alltoallv.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h: In instantiation of ‘gloo::enforce_detail::EnforceFailMessage gloo::enforce_detail::Equals(const T1&, const T2&) [with T1 = long unsigned int; T2 = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/alltoallv.cc:52:3: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:124:28: warning: comparison of integer expressions of different signedness: ‘const long unsigned int’ and ‘const int’ [-Wsign-compare] 124 | BINARY_COMP_HELPER(Equals, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:119:11: note: in definition of macro ‘BINARY_COMP_HELPER’ 119 | if (x op y) { \ | ^~ In file included from /usr/include/string.h:535, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/port.h:39, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/macros.h:34, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/common.h:46, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/message_lite.h:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/message_lite.cc:36: In function ‘void* memcpy(void*, const void*, size_t)’, inlined from ‘google::protobuf::uint8* google::protobuf::io::EpsCopyOutputStream::WriteRaw(const void*, int, google::protobuf::uint8*)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.h:699:16, inlined from ‘virtual google::protobuf::uint8* google::protobuf::internal::ImplicitWeakMessage::_InternalSerialize(google::protobuf::uint8*, google::protobuf::io::EpsCopyOutputStream*) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/implicit_weak_message.h:85:28, inlined from ‘bool google::protobuf::MessageLite::SerializePartialToZeroCopyStream(google::protobuf::io::ZeroCopyOutputStream*) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/message_lite.cc:419:30, inlined from ‘bool google::protobuf::MessageLite::SerializeToZeroCopyStream(google::protobuf::io::ZeroCopyOutputStream*) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/message_lite.cc:403:42: /usr/include/bits/string_fortified.h:29:33: warning: ‘void* __builtin___memcpy_chk(void*, const void*, long unsigned int, long unsigned int)’ specified size between 18446744071562067968 and 18446744073709551615 exceeds maximum object size 9223372036854775807 [-Wstringop-overflow=] 29 | return __builtin___memcpy_chk (__dest, __src, __len, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ 30 | __glibc_objsize0 (__dest)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/engine.cpp.o In function ‘void* memcpy(void*, const void*, size_t)’, inlined from ‘google::protobuf::uint8* google::protobuf::io::EpsCopyOutputStream::WriteRaw(const void*, int, google::protobuf::uint8*)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.h:699:16, inlined from ‘virtual google::protobuf::uint8* google::protobuf::internal::ImplicitWeakMessage::_InternalSerialize(google::protobuf::uint8*, google::protobuf::io::EpsCopyOutputStream*) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/implicit_weak_message.h:85:28, inlined from ‘bool google::protobuf::MessageLite::SerializePartialToZeroCopyStream(google::protobuf::io::ZeroCopyOutputStream*) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/message_lite.cc:419:30: /usr/include/bits/string_fortified.h:29:33: warning: ‘void* __builtin___memcpy_chk(void*, const void*, long unsigned int, long unsigned int)’ specified size between 18446744071562067968 and 18446744073709551615 exceeds maximum object size 9223372036854775807 [-Wstringop-overflow=] 29 | return __builtin___memcpy_chk (__dest, __src, __len, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ 30 | __glibc_objsize0 (__dest)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 4%] Built target gen_torch_version [ 4%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/broadcast.cc.o In file included from /usr/include/string.h:535, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/port.h:39, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/macros.h:34, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/common.h:46, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/message_lite.h:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/message_lite.cc:36: In function ‘void* memcpy(void*, const void*, size_t)’, inlined from ‘google::protobuf::uint8* google::protobuf::io::EpsCopyOutputStream::WriteRaw(const void*, int, google::protobuf::uint8*)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.h:699:16, inlined from ‘virtual google::protobuf::uint8* google::protobuf::internal::ImplicitWeakMessage::_InternalSerialize(google::protobuf::uint8*, google::protobuf::io::EpsCopyOutputStream*) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/implicit_weak_message.h:85:28, inlined from ‘bool google::protobuf::MessageLite::SerializePartialToZeroCopyStream(google::protobuf::io::ZeroCopyOutputStream*) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/message_lite.cc:419:30, inlined from ‘bool google::protobuf::MessageLite::SerializeToZeroCopyStream(google::protobuf::io::ZeroCopyOutputStream*) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/message_lite.cc:403:42: /usr/include/bits/string_fortified.h:29:33: warning: ‘void* __builtin___memcpy_chk(void*, const void*, long unsigned int, long unsigned int)’ specified size between 18446744071562067968 and 18446744073709551615 exceeds maximum object size 9223372036854775807 [-Wstringop-overflow=] 29 | return __builtin___memcpy_chk (__dest, __src, __len, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ 30 | __glibc_objsize0 (__dest)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ In function ‘void* memcpy(void*, const void*, size_t)’, inlined from ‘google::protobuf::uint8* google::protobuf::io::EpsCopyOutputStream::WriteRaw(const void*, int, google::protobuf::uint8*)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.h:699:16, inlined from ‘virtual google::protobuf::uint8* google::protobuf::internal::ImplicitWeakMessage::_InternalSerialize(google::protobuf::uint8*, google::protobuf::io::EpsCopyOutputStream*) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/implicit_weak_message.h:85:28, inlined from ‘bool google::protobuf::MessageLite::SerializePartialToZeroCopyStream(google::protobuf::io::ZeroCopyOutputStream*) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/message_lite.cc:419:30: /usr/include/bits/string_fortified.h:29:33: warning: ‘void* __builtin___memcpy_chk(void*, const void*, long unsigned int, long unsigned int)’ specified size between 18446744071562067968 and 18446744073709551615 exceeds maximum object size 9223372036854775807 [-Wstringop-overflow=] 29 | return __builtin___memcpy_chk (__dest, __src, __len, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ 30 | __glibc_objsize0 (__dest)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 4%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/logger.cpp.o [ 4%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/operand.cpp.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/cpu_deconvolution_list.cpp.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/experimental.cpp.o [ 4%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/linux-syscalls.c.o [ 4%] Built target nvfuser_rt_array [ 4%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/context.cc.o [ 4%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/osutils.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/uv-common.h:42, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/unix/internal.h:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/unix/linux-inotify.c:23: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/unix/linux-inotify.c: In function ‘uv__inotify_fork’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/queue.h:68:19: warning: storing the address of local variable ‘queue’ in ‘((void * (**)[2])MEM[(void *[2] * *)&tmp_watcher_list + 32B])[1]’ [-Wdangling-pointer=] 68 | QUEUE_PREV(q) = (n); \ | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/queue.h:78:7: note: in expansion of macro ‘QUEUE_SPLIT’ 78 | QUEUE_SPLIT(h, q, n); \ | ^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/unix/linux-inotify.c:133:5: note: in expansion of macro ‘QUEUE_MOVE’ 133 | QUEUE_MOVE(&tmp_watcher_list.watchers, &queue); | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/unix/linux-inotify.c:92:9: note: ‘queue’ declared here 92 | QUEUE queue; | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/queue.h:40:27: note: ‘*(void * (**)[2])((char *)&tmp_watcher_list + offsetof(struct watcher_list, watchers[0]))’ declared here 40 | ((const QUEUE *) (q) == (const QUEUE *) QUEUE_NEXT(q)) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/queue.h:74:9: note: in expansion of macro ‘QUEUE_EMPTY’ 74 | if (QUEUE_EMPTY(h)) \ | ^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/unix/linux-inotify.c:133:5: note: in expansion of macro ‘QUEUE_MOVE’ 133 | QUEUE_MOVE(&tmp_watcher_list.watchers, &queue); | ^~~~~~~~~~ [ 4%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/ralocal.cpp.o [ 4%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/procfs-exepath.c.o [ 4%] Built target nvfuser_rt_block_reduction [ 4%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/random-getrandom.c.o [ 4%] Building CXX object c10/CMakeFiles/c10.dir/core/CopyBytes.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/int128.cc: In function ‘std::ostream& google::protobuf::operator<<(std::ostream&, const uint128&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/int128.cc:178:13: warning: comparison of integer expressions of different signedness: ‘std::streamsize’ {aka ‘long int’} and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 178 | if (width > rep.size()) { | ~~~~~~^~~~~~~~~~~~ [ 4%] Built target nvfuser_rt_block_sync_atomic [ 4%] Building CXX object c10/CMakeFiles/c10.dir/core/DefaultDtype.cpp.o In file included from /usr/include/string.h:535, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/port.h:39, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/macros.h:34, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:34: In function ‘void* memcpy(void*, const void*, size_t)’, inlined from ‘void google::protobuf::internal::ElementCopier::operator()(Element*, const Element*, int) [with Element = bool]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1641:11, inlined from ‘void google::protobuf::RepeatedField::CopyArray(Element*, const Element*, int) [with Element = bool]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1626:37, inlined from ‘void google::protobuf::RepeatedField::MoveArray(Element*, Element*, int) [with Element = bool]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1620:12, inlined from ‘void google::protobuf::RepeatedField::Reserve(int) [with Element = bool]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1601:14, inlined from ‘google::protobuf::RepeatedField::RepeatedField(const google::protobuf::RepeatedField&) [with Element = bool]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1196:12: /usr/include/bits/string_fortified.h:29:33: warning: ‘void* __builtin_memcpy(void*, const void*, long unsigned int)’ offset 0 is out of the bounds [0, 0] [-Warray-bounds] 29 | return __builtin___memcpy_chk (__dest, __src, __len, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ 30 | __glibc_objsize0 (__dest)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 4%] Building CXX object third_party/ideep/mkl-dnn/src/interface/CMakeFiles/dnnl_graph_common.dir/op_schema.cpp.o [ 4%] Built target nvfuser_rt_block_sync_default /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/stringpiece.cc: In member function ‘bool google::protobuf::StringPiece::contains(google::protobuf::StringPiece) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/stringpiece.cc:101:21: warning: comparison of integer expressions of different signedness: ‘google::protobuf::stringpiece_ssize_type’ {aka ‘long int’} and ‘const google::protobuf::StringPiece::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 101 | return find(s, 0) != npos; | ~~~~~~~~~~~^~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/stringpiece.cc: In member function ‘google::protobuf::StringPiece google::protobuf::StringPiece::substr(size_type, size_type) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/stringpiece.cc:262:11: warning: comparison of integer expressions of different signedness: ‘google::protobuf::StringPiece::size_type’ {aka ‘long unsigned int’} and ‘const google::protobuf::stringpiece_ssize_type’ {aka ‘const long int’} [-Wsign-compare] 262 | if (pos > length_) pos = length_; | ~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/barrier.cc: In function ‘void gloo::barrier(BarrierOptions&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/barrier.cc:30:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 30 | for (size_t d = 1; d < context->size; d <<= 1) { | ~~^~~~~~~~~~~~~~~ [ 4%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/random-sysctl-linux.c.o [ 4%] Built target nvfuser_rt_broadcast [ 4%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/stubs/structurally_valid.cc.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/src/interface/CMakeFiles/dnnl_graph_common.dir/partition.cpp.o [ 4%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/rapass.cpp.o In file included from /usr/include/string.h:535, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/port.h:39, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/macros.h:34, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:34: In function ‘void* memcpy(void*, const void*, size_t)’, inlined from ‘void google::protobuf::internal::ElementCopier::operator()(Element*, const Element*, int) [with Element = bool]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1641:11, inlined from ‘void google::protobuf::RepeatedField::CopyArray(Element*, const Element*, int) [with Element = bool]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1626:37, inlined from ‘void google::protobuf::RepeatedField::MoveArray(Element*, Element*, int) [with Element = bool]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1620:12, inlined from ‘void google::protobuf::RepeatedField::Reserve(int) [with Element = bool]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1601:14, inlined from ‘google::protobuf::RepeatedField::RepeatedField(const google::protobuf::RepeatedField&) [with Element = bool]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1196:12: /usr/include/bits/string_fortified.h:29:33: warning: ‘void* __builtin_memcpy(void*, const void*, long unsigned int)’ offset 0 is out of the bounds [0, 0] [-Warray-bounds] 29 | return __builtin___memcpy_chk (__dest, __src, __len, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ 30 | __glibc_objsize0 (__dest)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/stringprintf.cc: In function ‘std::string google::protobuf::StringPrintfVector(const char*, const std::vector >&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/stringprintf.cc:153:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 153 | for (int i = 0; i < v.size(); ++i) { | ~~^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/stringprintf.cc:156:28: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 156 | for (int i = v.size(); i < GOOGLE_ARRAYSIZE(cstr); ++i) { [ 4%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/gather.cc.o [ 4%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf-lite.dir/__/src/google/protobuf/stubs/statusor.cc.o [ 4%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/rastack.cpp.o [ 4%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf-lite.dir/__/src/google/protobuf/stubs/stringpiece.cc.o [ 4%] Built target nvfuser_rt_fp16_support [ 4%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/gatherv.cc.o In function ‘void* memcpy(void*, const void*, size_t)’, inlined from ‘void google::protobuf::internal::ElementCopier::operator()(Element*, const Element*, int) [with Element = int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1641:11, inlined from ‘void google::protobuf::RepeatedField::CopyArray(Element*, const Element*, int) [with Element = int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1626:37, inlined from ‘void google::protobuf::RepeatedField::MoveArray(Element*, Element*, int) [with Element = int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1620:12, inlined from ‘void google::protobuf::RepeatedField::Reserve(int) [with Element = int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1601:14, inlined from ‘google::protobuf::RepeatedField::RepeatedField(const google::protobuf::RepeatedField&) [with Element = int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1196:12: /usr/include/bits/string_fortified.h:29:33: warning: ‘void* __builtin_memcpy(void*, const void*, long unsigned int)’ offset [0, 3] is out of the bounds [0, 0] [-Warray-bounds] 29 | return __builtin___memcpy_chk (__dest, __src, __len, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ 30 | __glibc_objsize0 (__dest)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/fpmath_mode.cpp.o [ 4%] Linking C static library ../../../lib/libtensorpipe_uv.a [ 4%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/string.cpp.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/fusion_info.cpp.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/src/interface/CMakeFiles/dnnl_graph_common.dir/partition_cache.cpp.o [ 4%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/stubs/strutil.cc.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/src/interface/CMakeFiles/dnnl_graph_common.dir/partition_hashing.cpp.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/layout_propagator.cpp.o [ 4%] Built target tensorpipe_uv In function ‘void* memcpy(void*, const void*, size_t)’, inlined from ‘void google::protobuf::internal::ElementCopier::operator()(Element*, const Element*, int) [with Element = int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1641:11, inlined from ‘void google::protobuf::RepeatedField::CopyArray(Element*, const Element*, int) [with Element = int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1626:37, inlined from ‘void google::protobuf::RepeatedField::MoveArray(Element*, Element*, int) [with Element = int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1620:12, inlined from ‘void google::protobuf::RepeatedField::Reserve(int) [with Element = int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1601:14, inlined from ‘google::protobuf::RepeatedField::RepeatedField(const google::protobuf::RepeatedField&) [with Element = int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1196:12: /usr/include/bits/string_fortified.h:29:33: warning: ‘void* __builtin_memcpy(void*, const void*, long unsigned int)’ offset [0, 3] is out of the bounds [0, 0] [-Warray-bounds] 29 | return __builtin___memcpy_chk (__dest, __src, __len, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ 30 | __glibc_objsize0 (__dest)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/broadcast.cc: In function ‘void gloo::broadcast(BroadcastOptions&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/broadcast.cc:92:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 92 | for (auto i = 0; i < numSends; i++) { | ~~^~~~~~~~~~ [ 4%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf-lite.dir/__/src/google/protobuf/stubs/stringprintf.cc.o [ 4%] Built target nvfuser_rt_fused_reduction [ 4%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf-lite.dir/__/src/google/protobuf/stubs/structurally_valid.cc.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/op_executable.cpp.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/gemm.cpp.o In function ‘void* memcpy(void*, const void*, size_t)’, inlined from ‘void google::protobuf::internal::ElementCopier::operator()(Element*, const Element*, int) [with Element = unsigned int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1641:11, inlined from ‘void google::protobuf::RepeatedField::CopyArray(Element*, const Element*, int) [with Element = unsigned int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1626:37, inlined from ‘void google::protobuf::RepeatedField::MoveArray(Element*, Element*, int) [with Element = unsigned int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1620:12, inlined from ‘void google::protobuf::RepeatedField::Reserve(int) [with Element = unsigned int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1601:14, inlined from ‘google::protobuf::RepeatedField::RepeatedField(const google::protobuf::RepeatedField&) [with Element = unsigned int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1196:12: /usr/include/bits/string_fortified.h:29:33: warning: ‘void* __builtin_memcpy(void*, const void*, long unsigned int)’ offset [0, 3] is out of the bounds [0, 0] [-Warray-bounds] 29 | return __builtin___memcpy_chk (__dest, __src, __len, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ 30 | __glibc_objsize0 (__dest)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 4%] Generating /builddir/build/BUILD/pytorch-v2.0.1/torch/utils/data/datapipes/datapipe.pyi [ 4%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/stubs/time.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/stringpiece.cc: In member function ‘bool google::protobuf::StringPiece::contains(google::protobuf::StringPiece) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/stringpiece.cc:101:21: warning: comparison of integer expressions of different signedness: ‘google::protobuf::stringpiece_ssize_type’ {aka ‘long int’} and ‘const google::protobuf::StringPiece::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 101 | return find(s, 0) != npos; | ~~~~~~~~~~~^~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/stringpiece.cc: In member function ‘google::protobuf::StringPiece google::protobuf::StringPiece::substr(size_type, size_type) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/stringpiece.cc:262:11: warning: comparison of integer expressions of different signedness: ‘google::protobuf::StringPiece::size_type’ {aka ‘long unsigned int’} and ‘const google::protobuf::stringpiece_ssize_type’ {aka ‘const long int’} [-Wsign-compare] 262 | if (pos > length_) pos = length_; | ~~~~^~~~~~~~~ [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/inner_product.cpp.o In function ‘void* memcpy(void*, const void*, size_t)’, inlined from ‘void google::protobuf::internal::ElementCopier::operator()(Element*, const Element*, int) [with Element = unsigned int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1641:11, inlined from ‘void google::protobuf::RepeatedField::CopyArray(Element*, const Element*, int) [with Element = unsigned int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1626:37, inlined from ‘void google::protobuf::RepeatedField::MoveArray(Element*, Element*, int) [with Element = unsigned int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1620:12, inlined from ‘void google::protobuf::RepeatedField::Reserve(int) [with Element = unsigned int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1601:14, inlined from ‘google::protobuf::RepeatedField::RepeatedField(const google::protobuf::RepeatedField&) [with Element = unsigned int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1196:12: /usr/include/bits/string_fortified.h:29:33: warning: ‘void* __builtin_memcpy(void*, const void*, long unsigned int)’ offset [0, 3] is out of the bounds [0, 0] [-Warray-bounds] 29 | return __builtin___memcpy_chk (__dest, __src, __len, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ 30 | __glibc_objsize0 (__dest)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 4%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/reduce.cc.o [ 4%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/support.cpp.o In function ‘void* memcpy(void*, const void*, size_t)’, inlined from ‘void google::protobuf::internal::ElementCopier::operator()(Element*, const Element*, int) [with Element = long int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1641:11, inlined from ‘void google::protobuf::RepeatedField::CopyArray(Element*, const Element*, int) [with Element = long int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1626:37, inlined from ‘void google::protobuf::RepeatedField::MoveArray(Element*, Element*, int) [with Element = long int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1620:12, inlined from ‘void google::protobuf::RepeatedField::Reserve(int) [with Element = long int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1601:14, inlined from ‘google::protobuf::RepeatedField::RepeatedField(const google::protobuf::RepeatedField&) [with Element = long int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1196:12: /usr/include/bits/string_fortified.h:29:33: warning: ‘void* __builtin_memcpy(void*, const void*, long unsigned int)’ offset [0, 7] is out of the bounds [0, 0] [-Warray-bounds] 29 | return __builtin___memcpy_chk (__dest, __src, __len, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ 30 | __glibc_objsize0 (__dest)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 4%] Building CXX object third_party/ideep/mkl-dnn/src/utils/CMakeFiles/dnnl_graph_utils.dir/verbose.cpp.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/ittnotify.cpp.o [ 4%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/scatter.cc.o [ 4%] Linking C static library ../../lib/libpthreadpool.a [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/layer_normalization.cpp.o In function ‘void* memcpy(void*, const void*, size_t)’, inlined from ‘void google::protobuf::internal::ElementCopier::operator()(Element*, const Element*, int) [with Element = long int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1641:11, inlined from ‘void google::protobuf::RepeatedField::CopyArray(Element*, const Element*, int) [with Element = long int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1626:37, inlined from ‘void google::protobuf::RepeatedField::MoveArray(Element*, Element*, int) [with Element = long int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1620:12, inlined from ‘void google::protobuf::RepeatedField::Reserve(int) [with Element = long int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1601:14, inlined from ‘google::protobuf::RepeatedField::RepeatedField(const google::protobuf::RepeatedField&) [with Element = long int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1196:12: /usr/include/bits/string_fortified.h:29:33: warning: ‘void* __builtin_memcpy(void*, const void*, long unsigned int)’ offset [0, 7] is out of the bounds [0, 0] [-Warray-bounds] 29 | return __builtin___memcpy_chk (__dest, __src, __len, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ 30 | __glibc_objsize0 (__dest)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/lrn.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/stringprintf.cc: In function ‘std::string google::protobuf::StringPrintfVector(const char*, const std::vector >&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/stringprintf.cc:153:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 153 | for (int i = 0; i < v.size(); ++i) { | ~~^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/stringprintf.cc:156:28: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 156 | for (int i = v.size(); i < GOOGLE_ARRAYSIZE(cstr); ++i) { [ 4%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/wire_format_lite.cc.o [ 4%] Built target pthreadpool /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/gather.cc: In function ‘void gloo::gather(GatherOptions&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/gather.cc:36:26: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 36 | for (size_t i = 0; i < context->size; i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/gather.cc:37:13: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 37 | if (i == context->rank) { | ~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/gather.cc:50:26: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 50 | for (size_t i = 0; i < context->size; i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/gather.cc:51:13: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 51 | if (i == context->rank) { | ~~^~~~~~~~~~~~~~~~ [ 4%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf-lite.dir/__/src/google/protobuf/stubs/strutil.cc.o [ 4%] Built target nvfuser_rt_fused_welford_helper [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/matmul.cpp.o [ 4%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/types.cc.o [ 4%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf-lite.dir/__/src/google/protobuf/stubs/time.cc.o In function ‘void* memcpy(void*, const void*, size_t)’, inlined from ‘void google::protobuf::internal::ElementCopier::operator()(Element*, const Element*, int) [with Element = long unsigned int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1641:11, inlined from ‘void google::protobuf::RepeatedField::CopyArray(Element*, const Element*, int) [with Element = long unsigned int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1626:37, inlined from ‘void google::protobuf::RepeatedField::MoveArray(Element*, Element*, int) [with Element = long unsigned int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1620:12, inlined from ‘void google::protobuf::RepeatedField::Reserve(int) [with Element = long unsigned int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1601:14, inlined from ‘google::protobuf::RepeatedField::RepeatedField(const google::protobuf::RepeatedField&) [with Element = long unsigned int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1196:12: /usr/include/bits/string_fortified.h:29:33: warning: ‘void* __builtin_memcpy(void*, const void*, long unsigned int)’ offset [0, 7] is out of the bounds [0, 0] [-Warray-bounds] 29 | return __builtin___memcpy_chk (__dest, __src, __len, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ 30 | __glibc_objsize0 (__dest)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 4%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/any.cc.o [ 4%] Built target nvfuser_rt_fused_welford_impl [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/cpu_eltwise_list.cpp.o [ 4%] Built target nvfuser_rt_bf16_support In function ‘void* memcpy(void*, const void*, size_t)’, inlined from ‘void google::protobuf::internal::ElementCopier::operator()(Element*, const Element*, int) [with Element = long unsigned int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1641:11, inlined from ‘void google::protobuf::RepeatedField::CopyArray(Element*, const Element*, int) [with Element = long unsigned int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1626:37, inlined from ‘void google::protobuf::RepeatedField::MoveArray(Element*, Element*, int) [with Element = long unsigned int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1620:12, inlined from ‘void google::protobuf::RepeatedField::Reserve(int) [with Element = long unsigned int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1601:14, inlined from ‘google::protobuf::RepeatedField::RepeatedField(const google::protobuf::RepeatedField&) [with Element = long unsigned int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1196:12: /usr/include/bits/string_fortified.h:29:33: warning: ‘void* __builtin_memcpy(void*, const void*, long unsigned int)’ offset [0, 7] is out of the bounds [0, 0] [-Warray-bounds] 29 | return __builtin___memcpy_chk (__dest, __src, __len, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ 30 | __glibc_objsize0 (__dest)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/transport/pair.h:13, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/context.h:15, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/gatherv.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/gatherv.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h: In instantiation of ‘gloo::enforce_detail::EnforceFailMessage gloo::enforce_detail::Equals(const T1&, const T2&) [with T1 = long unsigned int; T2 = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/gatherv.cc:54:3: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:124:28: warning: comparison of integer expressions of different signedness: ‘const long unsigned int’ and ‘const int’ [-Wsign-compare] 124 | BINARY_COMP_HELPER(Equals, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:119:11: note: in definition of macro ‘BINARY_COMP_HELPER’ 119 | if (x op y) { \ | ^~ [ 4%] Built target nvfuser_rt_grid_broadcast [ 4%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf-lite.dir/__/src/google/protobuf/wire_format_lite.cc.o [ 4%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/target.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/strutil.cc: In function ‘void google::protobuf::CEscapeAndAppend(StringPiece, std::string*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/strutil.cc:564:19: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘google::protobuf::stringpiece_ssize_type’ {aka ‘long int’} [-Wsign-compare] 564 | if (escaped_len == src.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~ In function ‘void* memcpy(void*, const void*, size_t)’, inlined from ‘void google::protobuf::internal::ElementCopier::operator()(Element*, const Element*, int) [with Element = float]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1641:11, inlined from ‘void google::protobuf::RepeatedField::CopyArray(Element*, const Element*, int) [with Element = float]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1626:37, inlined from ‘void google::protobuf::RepeatedField::MoveArray(Element*, Element*, int) [with Element = float]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1620:12, inlined from ‘void google::protobuf::RepeatedField::Reserve(int) [with Element = float]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1601:14, inlined from ‘google::protobuf::RepeatedField::RepeatedField(const google::protobuf::RepeatedField&) [with Element = float]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1196:12: /usr/include/bits/string_fortified.h:29:33: warning: ‘void* __builtin_memcpy(void*, const void*, long unsigned int)’ offset [0, 3] is out of the bounds [0, 0] [-Warray-bounds] 29 | return __builtin___memcpy_chk (__dest, __src, __len, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ 30 | __glibc_objsize0 (__dest)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/strutil.cc: In function ‘int google::protobuf::memcasecmp(const char*, const char*, size_t)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/strutil.cc:1293:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1293 | for ( int i = 0; i < len; i++ ) { | ~~^~~~~ [ 4%] Built target nvfuser_rt_grid_reduction [ 4%] Built target nvfuser_rt_grid_sync /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/strutil.cc: In function ‘int google::protobuf::GlobalReplaceSubstring(const std::string&, const std::string&, std::string*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/strutil.cc:1628:18: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const std::__cxx11::basic_string::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 1628 | match_pos != string::npos; | ~~~~~~~~~~^~~~~~~~~~~~~~~ [ 4%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/common/logging.cc.o [ 4%] Built target nvfuser_rt_helpers [ 4%] Built target nvfuser_rt_index_utils [ 4%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/type.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/reduce.cc: In function ‘void gloo::reduce(ReduceOptions&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/reduce.cc:171:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 171 | for (auto i = 0; i < numSegments; i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/reduce.cc:187:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 187 | if ((i - 2) < numSegmentsPerRank) { | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/reduce.cc:199:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 199 | if (i < (numSegments - 2)) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/reduce.cc:206:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 206 | if (i < numSegmentsPerRank) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/reduce.cc:223:32: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 223 | for (size_t rank = 0; rank < context->size; rank++) { | ~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/reduce.cc:224:16: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 224 | if (rank == context->rank) { | ~~~~~^~~~~~~~~~~~~~~~ [ 4%] Built target nvfuser_rt_random_numbers [ 4%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/virtmem.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/transport/pair.h:13, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/context.h:15, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/reduce.h:14, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/reduce.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h: In instantiation of ‘gloo::enforce_detail::EnforceFailMessage gloo::enforce_detail::Equals(const T1&, const T2&) [with T1 = long unsigned int; T2 = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/reduce.cc:118:3: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:124:28: warning: comparison of integer expressions of different signedness: ‘const long unsigned int’ and ‘const int’ [-Wsign-compare] 124 | BINARY_COMP_HELPER(Equals, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:119:11: note: in definition of macro ‘BINARY_COMP_HELPER’ 119 | if (x op y) { \ | ^~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h: In instantiation of ‘gloo::enforce_detail::EnforceFailMessage gloo::enforce_detail::GreaterEquals(const T1&, const T2&) [with T1 = long unsigned int; T2 = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/reduce.cc:119:3: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:127:35: warning: comparison of integer expressions of different signedness: ‘const long unsigned int’ and ‘const int’ [-Wsign-compare] 127 | BINARY_COMP_HELPER(GreaterEquals, >=) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:119:11: note: in definition of macro ‘BINARY_COMP_HELPER’ 119 | if (x op y) { \ | ^~ In function ‘void* memcpy(void*, const void*, size_t)’, inlined from ‘void google::protobuf::internal::ElementCopier::operator()(Element*, const Element*, int) [with Element = float]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1641:11, inlined from ‘void google::protobuf::RepeatedField::CopyArray(Element*, const Element*, int) [with Element = float]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1626:37, inlined from ‘void google::protobuf::RepeatedField::MoveArray(Element*, Element*, int) [with Element = float]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1620:12, inlined from ‘void google::protobuf::RepeatedField::Reserve(int) [with Element = float]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1601:14, inlined from ‘google::protobuf::RepeatedField::RepeatedField(const google::protobuf::RepeatedField&) [with Element = float]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1196:12: /usr/include/bits/string_fortified.h:29:33: warning: ‘void* __builtin_memcpy(void*, const void*, long unsigned int)’ offset [0, 3] is out of the bounds [0, 0] [-Warray-bounds] 29 | return __builtin___memcpy_chk (__dest, __src, __len, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ 30 | __glibc_objsize0 (__dest)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 4%] Building CXX object c10/CMakeFiles/c10.dir/core/Device.cpp.o In function ‘void* memcpy(void*, const void*, size_t)’, inlined from ‘void google::protobuf::internal::ElementCopier::operator()(Element*, const Element*, int) [with Element = double]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1641:11, inlined from ‘void google::protobuf::RepeatedField::CopyArray(Element*, const Element*, int) [with Element = double]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1626:37, inlined from ‘void google::protobuf::RepeatedField::MoveArray(Element*, Element*, int) [with Element = double]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1620:12, inlined from ‘void google::protobuf::RepeatedField::Reserve(int) [with Element = double]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1601:14, inlined from ‘google::protobuf::RepeatedField::RepeatedField(const google::protobuf::RepeatedField&) [with Element = double]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1196:12: /usr/include/bits/string_fortified.h:29:33: warning: ‘void* __builtin_memcpy(void*, const void*, long unsigned int)’ offset [0, 7] is out of the bounds [0, 0] [-Warray-bounds] 29 | return __builtin___memcpy_chk (__dest, __src, __len, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ 30 | __glibc_objsize0 (__dest)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 4%] Built target nvfuser_rt_swizzle /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/strutil.cc: In function ‘void google::protobuf::CEscapeAndAppend(StringPiece, std::string*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/strutil.cc:564:19: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘google::protobuf::stringpiece_ssize_type’ {aka ‘long int’} [-Wsign-compare] 564 | if (escaped_len == src.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/strutil.cc: In function ‘int google::protobuf::memcasecmp(const char*, const char*, size_t)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/strutil.cc:1293:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1293 | for ( int i = 0; i < len; i++ ) { | ~~^~~~~ [ 4%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/subgraph.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/strutil.cc: In function ‘int google::protobuf::GlobalReplaceSubstring(const std::string&, const std::string&, std::string*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/strutil.cc:1628:18: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const std::__cxx11::basic_string::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 1628 | match_pos != string::npos; | ~~~~~~~~~~^~~~~~~~~~~~~~~ [ 4%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/any.pb.cc.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/cpu_barrier.cpp.o [ 4%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/common/linux.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/scatter.cc: In function ‘void gloo::scatter(ScatterOptions&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/scatter.cc:40:26: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 40 | for (size_t i = 0; i < context->size; i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/scatter.cc:41:13: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 41 | if (i == context->rank) { | ~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/scatter.cc:51:26: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 51 | for (size_t i = 0; i < context->size; i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/scatter.cc:52:13: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 52 | if (i == context->rank) { | ~~^~~~~~~~~~~~~~~~ [ 4%] Building CXX object third_party/ideep/mkl-dnn/src/interface/CMakeFiles/dnnl_graph_common.dir/partition_impl.cpp.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/memory.cpp.o [ 4%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/zone.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/transport/pair.h:13, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/context.h:15, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/scatter.h:14, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/scatter.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h: In instantiation of ‘gloo::enforce_detail::EnforceFailMessage gloo::enforce_detail::Equals(const T1&, const T2&) [with T1 = long unsigned int; T2 = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/scatter.cc:31:5: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:124:28: warning: comparison of integer expressions of different signedness: ‘const long unsigned int’ and ‘const int’ [-Wsign-compare] 124 | BINARY_COMP_HELPER(Equals, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:119:11: note: in definition of macro ‘BINARY_COMP_HELPER’ 119 | if (x op y) { \ | ^~ [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/memory_debug.cpp.o [ 4%] Built target nvfuser_rt_tensor [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/memory_desc_wrapper.cpp.o [ 4%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/rendezvous/context.cc.o In function ‘void* memcpy(void*, const void*, size_t)’, inlined from ‘void google::protobuf::internal::ElementCopier::operator()(Element*, const Element*, int) [with Element = double]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1641:11, inlined from ‘void google::protobuf::RepeatedField::CopyArray(Element*, const Element*, int) [with Element = double]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1626:37, inlined from ‘void google::protobuf::RepeatedField::MoveArray(Element*, Element*, int) [with Element = double]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1620:12, inlined from ‘void google::protobuf::RepeatedField::Reserve(int) [with Element = double]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1601:14, inlined from ‘google::protobuf::RepeatedField::RepeatedField(const google::protobuf::RepeatedField&) [with Element = double]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1196:12: /usr/include/bits/string_fortified.h:29:33: warning: ‘void* __builtin_memcpy(void*, const void*, long unsigned int)’ offset [0, 7] is out of the bounds [0, 0] [-Warray-bounds] 29 | return __builtin___memcpy_chk (__dest, __src, __len, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ 30 | __glibc_objsize0 (__dest)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/memory_storage.cpp.o [ 4%] Built target nvfuser_rt_tuple [ 4%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/rendezvous/file_store.cc.o [ 4%] Built target nvfuser_rt_type_traits [ 4%] Building CXX object third_party/ideep/mkl-dnn/src/interface/CMakeFiles/dnnl_graph_common.dir/shape_infer.cpp.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/src/interface/CMakeFiles/dnnl_graph_common.dir/stream.cpp.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/memory_tracking.cpp.o [ 4%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/zonehash.cpp.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/memory_zero_pad.cpp.o [ 4%] Built target nvfuser_rt_welford [ 4%] Built target nvfuser_rt_warp [ 4%] Building CXX object c10/CMakeFiles/c10.dir/core/DeviceType.cpp.o [ 4%] Built target nvfuser_rt_memory [ 4%] Built target nvfuser_rt_tensorcore [ 4%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/zonelist.cpp.o [ 4%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/zonestack.cpp.o [ 4%] Built target nvfuser_rt_PhiloxCudaStateRaw [ 4%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/zonetree.cpp.o [ 4%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo.dir/src/init.c.o [ 4%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/zonevector.cpp.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/passes/compile_ops.cpp.o [ 4%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo.dir/src/api.c.o [ 4%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/rendezvous/hash_store.cc.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/pooling.cpp.o [ 4%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/arm/armformatter.cpp.o [ 4%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/rendezvous/prefix_store.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/linux.cc: In function ‘std::vector > gloo::pciDevices(PCIClassMatch)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/linux.cc:97:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘unsigned int’ [-Wsign-compare] 97 | if (match.value != (pciGetClass(device) & match.mask)) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/linux.cc: In function ‘int gloo::pciDistance(const std::string&, const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/linux.cc:135:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 135 | if (prefixLength == partsA.size()) { | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/linux.cc:139:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 139 | if (prefixLength == partsB.size()) { | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ [ 4%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo.dir/src/cache.c.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/prelu.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/rendezvous/store.h:15, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/rendezvous/file_store.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/rendezvous/file_store.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h: In instantiation of ‘gloo::enforce_detail::EnforceFailMessage gloo::enforce_detail::Greater(const T1&, const T2&) [with T1 = long unsigned int; T2 = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/rendezvous/file_store.cc:107:3: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:126:29: warning: comparison of integer expressions of different signedness: ‘const long unsigned int’ and ‘const int’ [-Wsign-compare] 126 | BINARY_COMP_HELPER(Greater, >) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:119:11: note: in definition of macro ‘BINARY_COMP_HELPER’ 119 | if (x op y) { \ | ^~ [ 4%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/rendezvous/store.cc.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/linux.cc:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h: In instantiation of ‘gloo::enforce_detail::EnforceFailMessage gloo::enforce_detail::Less(const T1&, const T2&) [with T1 = long int; T2 = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/linux.cc:112:3: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:128:26: warning: comparison of integer expressions of different signedness: ‘const long int’ and ‘const long unsigned int’ [-Wsign-compare] 128 | BINARY_COMP_HELPER(Less, <) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:119:11: note: in definition of macro ‘BINARY_COMP_HELPER’ 119 | if (x op y) { \ | ^~ [ 4%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo.dir/src/x86/init.c.o [ 4%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/arm/a64assembler.cpp.o [ 4%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/arm/a64builder.cpp.o [ 4%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo.dir/src/x86/info.c.o [ 4%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/arm/a64compiler.cpp.o [ 4%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo.dir/src/x86/vendor.c.o [ 4%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/arm/a64emithelper.cpp.o [ 4%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo.dir/src/x86/uarch.c.o [ 4%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/transport/address.cc.o [ 4%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo.dir/src/x86/name.c.o [ 4%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/api.pb.cc.o [ 4%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/arm/a64formatter.cpp.o [ 4%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/arm/a64func.cpp.o [ 4%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/compiler/importer.cc.o [ 4%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/transport/buffer.cc.o [ 4%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/transport/context.cc.o [ 4%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo.dir/src/x86/topology.c.o [ 4%] Building CXX object c10/CMakeFiles/c10.dir/core/DispatchKey.cpp.o [ 4%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/transport/device.cc.o [ 4%] Building CXX object c10/CMakeFiles/c10.dir/core/DispatchKeySet.cpp.o [ 4%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo.dir/src/x86/isa.c.o [ 4%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/compiler/parser.cc.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/primitive.cpp.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/primitive_attr.cpp.o [ 5%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/arm/a64instapi.cpp.o [ 5%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/primitive_cache.cpp.o [ 5%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo.dir/src/x86/cache/init.c.o [ 5%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/transport/pair.cc.o [ 5%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/primitive_desc.cpp.o [ 5%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo.dir/src/x86/cache/descriptor.c.o [ 5%] Building CXX object third_party/ideep/mkl-dnn/src/interface/CMakeFiles/dnnl_graph_common.dir/tensor.cpp.o [ 5%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/descriptor.cc.o [ 5%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/passes/constant_propagation.cpp.o [ 5%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo.dir/src/x86/cache/deterministic.c.o [ 5%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/arm/a64instdb.cpp.o [ 5%] Building CXX object third_party/ideep/mkl-dnn/src/interface/CMakeFiles/dnnl_graph_common.dir/type_constraint.cpp.o [ 5%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/descriptor.pb.cc.o [ 5%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/arm/a64operand.cpp.o [ 5%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/descriptor_database.cc.o [ 5%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo.dir/src/x86/linux/init.c.o [ 5%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/transport/unbound_buffer.cc.o [ 5%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/primitive_desc_iface.cpp.o [ 5%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/primitive_desc_iterator.cpp.o [ 5%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/arm/a64rapass.cpp.o [ 5%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/x86/x86assembler.cpp.o [ 5%] Building CXX object third_party/ideep/mkl-dnn/src/interface/CMakeFiles/dnnl_graph_common.dir/value.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/importer.cc: In function ‘std::string google::protobuf::compiler::CanonicalizePath(std::string)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/importer.cc:293:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 293 | for (int i = 0; i < parts.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/importer.cc: In member function ‘google::protobuf::compiler::DiskSourceTree::DiskFileToVirtualFileResult google::protobuf::compiler::DiskSourceTree::DiskFileToVirtualFile(const std::string&, std::string*, std::string*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/importer.cc:401:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 401 | for (int i = 0; i < mappings_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/importer.cc: In member function ‘google::protobuf::io::ZeroCopyInputStream* google::protobuf::compiler::DiskSourceTree::OpenVirtualFile(const std::string&, std::string*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/importer.cc:467:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 467 | for (int i = 0; i < mappings_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~ [ 5%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/transport/tcp/address.cc.o [ 5%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/transport/tcp/buffer.cc.o [ 5%] Building CXX object c10/CMakeFiles/c10.dir/core/GeneratorImpl.cpp.o [ 5%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/primitive_exec_types.cpp.o [ 5%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo.dir/src/x86/linux/cpuinfo.c.o Compiling channel.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/channel.o [ 5%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/primitive_hashing.cpp.o [ 5%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo.dir/src/linux/smallfile.c.o [ 5%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo.dir/src/linux/multiline.c.o [ 5%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/transport/tcp/context.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/parser.cc: In function ‘std::string google::protobuf::compiler::{anonymous}::MapEntryName(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/parser.cc:99:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 99 | for (int i = 0; i < field_name.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/parser.cc: In function ‘bool google::protobuf::compiler::{anonymous}::IsUpperCamelCase(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/parser.cc:133:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 133 | for (int i = 1; i < name.length(); i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/parser.cc: In function ‘bool google::protobuf::compiler::{anonymous}::IsUpperUnderscore(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/parser.cc:142:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 142 | for (int i = 0; i < name.length(); i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/parser.cc: In function ‘bool google::protobuf::compiler::{anonymous}::IsLowerUnderscore(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/parser.cc:152:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 152 | for (int i = 0; i < name.length(); i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/parser.cc: In function ‘bool google::protobuf::compiler::{anonymous}::IsNumberFollowUnderscore(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/parser.cc:162:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 162 | for (int i = 1; i < name.length(); i++) { | ~~^~~~~~~~~~~~~~~ [ 5%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/transport/tcp/device.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/parser.cc: In member function ‘void google::protobuf::compiler::Parser::LocationRecorder::AttachComments(std::string*, std::string*, std::vector >*) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/parser.cc:505:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 505 | for (int i = 0; i < detached_comments->size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 5%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo.dir/src/linux/cpulist.c.o [ 5%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo.dir/src/linux/processors.c.o [ 5%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/transport/tcp/loop.cc.o [ 5%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/cpu_engine.cpp.o [ 5%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/x86/x86builder.cpp.o [ 5%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/x86/x86compiler.cpp.o [ 5%] Linking CXX static library ../../../lib/libprotobuf-lite.a [ 5%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/x86/x86emithelper.cpp.o [ 5%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/x86/x86formatter.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc: In function ‘std::string google::protobuf::{anonymous}::ToCamelCase(const std::string&, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc:257:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 257 | for (int i = 0; i < input.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc: In function ‘std::string google::protobuf::{anonymous}::ToJsonName(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc:281:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 281 | for (int i = 0; i < input.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc: In function ‘std::string google::protobuf::{anonymous}::EnumValueToPascalCase(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc:300:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 300 | for (int i = 0; i < input.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc: In member function ‘std::string google::protobuf::{anonymous}::PrefixRemover::MaybeRemove(google::protobuf::StringPiece)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc:344:26: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘google::protobuf::stringpiece_ssize_type’ {aka ‘long int’} [-Wsign-compare] 344 | for (i = 0, j = 0; i < str.size() && j < prefix_.size(); i++) { | ~~^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc:361:14: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘google::protobuf::stringpiece_ssize_type’ {aka ‘long int’} [-Wsign-compare] 361 | while (i < str.size() && str[i] == '_') { | ~~^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc:366:11: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘google::protobuf::stringpiece_ssize_type’ {aka ‘long int’} [-Wsign-compare] 366 | if (i == str.size()) { | ~~^~~~~~~~~~~~~ [ 5%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/cpu_isa_traits.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc: In function ‘std::set >* google::protobuf::{anonymous}::NewAllowedProto3Extendee()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc:474:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 474 | for (int i = 0; i < GOOGLE_ARRAYSIZE(kOptionNames); ++i) { [ 5%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/transport/tcp/pair.cc.o [ 5%] Linking C static library ../../lib/libcpuinfo.a [ 5%] Built target libprotobuf-lite [ 5%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/passes/insert_ops.cpp.o [ 5%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/cpu_reducer.cpp.o [ 5%] Built target cpuinfo [ 5%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/duration.pb.cc.o [ 5%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/primitive_iface.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc: In member function ‘void google::protobuf::DescriptorPool::Tables::RollbackToLastCheckpoint()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc:859:10: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 859 | i < symbols_after_checkpoint_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc:863:10: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 863 | i < files_after_checkpoint_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc:867:10: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 867 | i < extensions_after_checkpoint_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc: In member function ‘void google::protobuf::DescriptorPool::FindAllExtensions(const google::protobuf::Descriptor*, std::vector*) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc:1574:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1574 | for (int i = 0; i < numbers.size(); ++i) { | ~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc: In function ‘bool google::protobuf::{anonymous}::RetrieveOptionsAssumingRightPool(int, const google::protobuf::Message&, std::vector >*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc:2282:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2282 | for (int i = 0; i < fields.size(); i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc: In function ‘bool google::protobuf::{anonymous}::FormatLineOptions(int, const google::protobuf::Message&, const google::protobuf::DescriptorPool*, std::string*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc:2366:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2366 | for (int i = 0; i < all_options.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc: In member function ‘void google::protobuf::{anonymous}::SourceLocationCommentPrinter::AddPreComment(std::string*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc:2398:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2398 | for (int i = 0; i < source_loc_.leading_detached_comments.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc: In member function ‘std::string google::protobuf::{anonymous}::SourceLocationCommentPrinter::FormatComment(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc:2421:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2421 | for (int i = 0; i < lines.size(); ++i) { | ~~^~~~~~~~~~~~~~ [ 5%] Building CXX object c10/CMakeFiles/c10.dir/core/GradMode.cpp.o [ 5%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/query.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc: In member function ‘void google::protobuf::DescriptorBuilder::ValidateSymbolName(const std::string&, const std::string&, const google::protobuf::Message&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc:4098:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 4098 | for (int i = 0; i < name.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc: In member function ‘void google::protobuf::DescriptorBuilder::AddRecursiveImportError(const google::protobuf::FileDescriptorProto&, int)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc:4208:29: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 4208 | for (int i = from_here; i < tables_->pending_files_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc:4214:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 4214 | if (from_here < tables_->pending_files_.size() - 1) { | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc: In member function ‘const google::protobuf::FileDescriptor* google::protobuf::DescriptorBuilder::BuildFile(const google::protobuf::FileDescriptorProto&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc:4287:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 4287 | for (int i = 0; i < tables_->pending_files_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 5%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/x86/x86func.cpp.o [ 5%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/transport/tcp/unbound_buffer.cc.o [ 5%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/passes/layout_propagation.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc: In function ‘std::string google::protobuf::ToLowercaseWithoutUnderscores(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc:5945:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 5945 | for (int i = 0; i < name.size(); ++i) { | ~~^~~~~~~~~~~~~ [ 5%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/reduction.cpp.o [ 5%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/init.c.o [ 5%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/reorder.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc: In member function ‘void google::protobuf::DescriptorBuilder::OptionInterpreter::UpdateSourceCodeInfo(google::protobuf::SourceCodeInfo*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc:6707:28: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 6707 | if (loc->path_size() < pathv.size()) { | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc:6710:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 6710 | for (int j = 0; j < pathv.size(); j++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor_database.cc: In member function ‘virtual bool google::protobuf::DescriptorPoolDatabase::FindAllExtensionNumbers(const std::string&, std::vector*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor_database.cc:937:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 937 | for (int i = 0; i < extensions.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor_database.cc: In member function ‘virtual bool google::protobuf::MergedDescriptorDatabase::FindFileByName(const std::string&, google::protobuf::FileDescriptorProto*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor_database.cc:958:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 958 | for (int i = 0; i < sources_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor_database.cc: In member function ‘virtual bool google::protobuf::MergedDescriptorDatabase::FindFileContainingSymbol(const std::string&, google::protobuf::FileDescriptorProto*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor_database.cc:968:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 968 | for (int i = 0; i < sources_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor_database.cc: In member function ‘virtual bool google::protobuf::MergedDescriptorDatabase::FindFileContainingExtension(const std::string&, int, google::protobuf::FileDescriptorProto*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor_database.cc:990:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 990 | for (int i = 0; i < sources_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor_database.cc: In member function ‘virtual bool google::protobuf::MergedDescriptorDatabase::FindAllExtensionNumbers(const std::string&, std::vector*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor_database.cc:1016:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1016 | for (int i = 0; i < sources_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~ [ 5%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/api.c.o [ 5%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/resampling.cpp.o [ 5%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/dynamic_message.cc.o [ 5%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/cache.c.o [ 5%] Building CXX object c10/CMakeFiles/c10.dir/core/InferenceMode.cpp.o [ 5%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/x86/init.c.o [ 5%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/empty.pb.cc.o [ 5%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/x86/info.c.o [ 5%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/x86/vendor.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:27, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.hpp:23, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:19: In member function ‘bool Xbyak::Operand::is(int, uint32_t) const’, inlined from ‘bool Xbyak::Operand::isMEM(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:578:59, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:11, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:618:39: warning: array subscript 1 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 618 | return (kind == 0 || (kind_ & kind)) && (bit == 0 || (bit_ & bit)); // cf. you can set (8|16) | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 8 into object ‘val’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::Operand::is(int, uint32_t) const’, inlined from ‘bool Xbyak::Operand::isMEM(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:578:59, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:26, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:618:39: warning: array subscript 1 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 618 | return (kind == 0 || (kind_ & kind)) && (bit == 0 || (bit_ & bit)); // cf. you can set (8|16) | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 8 into object ‘item’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:16, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 8 into object ‘val’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:32, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 8 into object ‘item’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:30: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~~~^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 16 into object ‘val’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:30: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~~~^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 16 into object ‘item’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:53: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~~~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 16 into object ‘val’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:53: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~~~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 16 into object ‘item’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:70: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 16 into object ‘val’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:83: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 16 into object ‘item’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:92: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 16 into object ‘val’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:106: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 16 into object ‘item’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:68: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 8 into object ‘val’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:82: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 8 into object ‘item’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:111: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 8 into object ‘val’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:111: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 8 into object ‘item’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::Operand::is(int, uint32_t) const’, inlined from ‘bool Xbyak::Operand::isMEM(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:578:59, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:11, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:39, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:618:39: warning: array subscript 2 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 618 | return (kind == 0 || (kind_ & kind)) && (bit == 0 || (bit_ & bit)); // cf. you can set (8|16) | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 16 into object ‘val’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::Operand::is(int, uint32_t) const’, inlined from ‘bool Xbyak::Operand::isMEM(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:578:59, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:26, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:39, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:618:39: warning: array subscript 2 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 618 | return (kind == 0 || (kind_ & kind)) && (bit == 0 || (bit_ & bit)); // cf. you can set (8|16) | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 16 into object ‘item’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:16, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:39, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 2 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 16 into object ‘val’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:32, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:39, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 2 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 16 into object ‘item’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:39, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:30: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~~~^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 24 into object ‘val’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:39, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:30: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~~~^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 24 into object ‘item’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:39, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:53: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~~~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 24 into object ‘val’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:39, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:53: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~~~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 24 into object ‘item’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:39, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:70: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 24 into object ‘val’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:39, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:83: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 24 into object ‘item’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:39, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:92: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 24 into object ‘val’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:39, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:106: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 24 into object ‘item’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:39, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:68: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 16 into object ‘val’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:39, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:82: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 16 into object ‘item’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:39, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:111: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 16 into object ‘val’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:39, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:111: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 16 into object ‘item’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:70: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 8 into object ‘val’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:83: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 8 into object ‘item’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:92: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 8 into object ‘val’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:106: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 8 into object ‘item’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:68: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: object ‘val’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:82: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: object ‘item’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:111: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: object ‘val’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:111: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: object ‘item’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::Operand::is(int, uint32_t) const’, inlined from ‘bool Xbyak::Operand::isMEM(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:578:59, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:11, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P) [with T = Xbyak::Reg64; P = Xbyak::Reg64]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:178:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:618:39: warning: array subscript 1 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 618 | return (kind == 0 || (kind_ & kind)) && (bit == 0 || (bit_ & bit)); // cf. you can set (8|16) | ^~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.hpp:22: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 8 into object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::Operand::is(int, uint32_t) const’, inlined from ‘bool Xbyak::Operand::isMEM(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:578:59, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:26, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P) [with T = Xbyak::Reg64; P = Xbyak::Reg64]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:178:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:618:39: warning: array subscript 1 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 618 | return (kind == 0 || (kind_ & kind)) && (bit == 0 || (bit_ & bit)); // cf. you can set (8|16) | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 8 into object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:16, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P) [with T = Xbyak::Reg64; P = Xbyak::Reg64]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:178:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 8 into object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:32, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P) [with T = Xbyak::Reg64; P = Xbyak::Reg64]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:178:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 8 into object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P) [with T = Xbyak::Reg64; P = Xbyak::Reg64]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:178:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:30: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~~~^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 16 into object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P) [with T = Xbyak::Reg64; P = Xbyak::Reg64]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:178:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:30: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~~~^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 16 into object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P) [with T = Xbyak::Reg64; P = Xbyak::Reg64]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:178:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:53: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~~~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 16 into object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P) [with T = Xbyak::Reg64; P = Xbyak::Reg64]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:178:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:53: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~~~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 16 into object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P) [with T = Xbyak::Reg64; P = Xbyak::Reg64]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:178:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:70: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 16 into object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P) [with T = Xbyak::Reg64; P = Xbyak::Reg64]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:178:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:83: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 16 into object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P) [with T = Xbyak::Reg64; P = Xbyak::Reg64]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:178:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:92: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 16 into object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P) [with T = Xbyak::Reg64; P = Xbyak::Reg64]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:178:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:106: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 16 into object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P) [with T = Xbyak::Reg64; P = Xbyak::Reg64]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:178:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:68: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 8 into object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P) [with T = Xbyak::Reg64; P = Xbyak::Reg64]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:178:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:82: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 8 into object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P) [with T = Xbyak::Reg64; P = Xbyak::Reg64]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:178:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:111: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 8 into object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P) [with T = Xbyak::Reg64; P = Xbyak::Reg64]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:178:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:111: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 8 into object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P) [with T = Xbyak::Reg64; P = Xbyak::Reg64]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:178:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:70: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 8 into object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P) [with T = Xbyak::Reg64; P = Xbyak::Reg64]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:178:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:83: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 8 into object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P) [with T = Xbyak::Reg64; P = Xbyak::Reg64]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:178:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:92: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 8 into object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P) [with T = Xbyak::Reg64; P = Xbyak::Reg64]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:178:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:106: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 8 into object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P) [with T = Xbyak::Reg64; P = Xbyak::Reg64]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:178:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:68: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P) [with T = Xbyak::Reg64; P = Xbyak::Reg64]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:178:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:82: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P) [with T = Xbyak::Reg64; P = Xbyak::Reg64]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:178:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:111: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P) [with T = Xbyak::Reg64; P = Xbyak::Reg64]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:178:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:111: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opPushPop(const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2159:11, inlined from ‘void Xbyak::CodeGenerator::opPushPop(const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2148:7, inlined from ‘void Xbyak::CodeGenerator::push(const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2603:42, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:47:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:34:18: note: object ‘reg_tmp’ of size 8 34 | Xbyak::Reg64 reg_tmp = [&]() { | ^~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opPushPop(const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2159:11, inlined from ‘void Xbyak::CodeGenerator::opPushPop(const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2148:7, inlined from ‘void Xbyak::CodeGenerator::push(const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2603:42, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:51:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:34:18: note: object ‘reg_tmp’ of size 8 34 | Xbyak::Reg64 reg_tmp = [&]() { | ^~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opRM_RM(const Xbyak::Operand&, const Xbyak::Operand&, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2110:10, inlined from ‘void Xbyak::CodeGenerator::opRM_RM(const Xbyak::Operand&, const Xbyak::Operand&, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2107:7, inlined from ‘void Xbyak::CodeGenerator::cmp(const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:143:59, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:57:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:29:65: note: object ‘reg_nthr’ of size 8 29 | jit_generator &code, Xbyak::Reg64 reg_ctx, Xbyak::Reg64 reg_nthr) { | ~~~~~~~~~~~~~^~~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opModRM(const Xbyak::Operand&, const Xbyak::Operand&, bool, bool, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2095:10, inlined from ‘void Xbyak::CodeGenerator::opModRM(const Xbyak::Operand&, const Xbyak::Operand&, bool, bool, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2090:7, inlined from ‘void Xbyak::CodeGenerator::opRM_RM(const Xbyak::Operand&, const Xbyak::Operand&, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2112:11, inlined from ‘void Xbyak::CodeGenerator::cmp(const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:143:59, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:57:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:34:18: note: object ‘reg_tmp’ of size 8 34 | Xbyak::Reg64 reg_tmp = [&]() { | ^~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opPushPop(const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2159:11, inlined from ‘void Xbyak::CodeGenerator::opPushPop(const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2148:7, inlined from ‘void Xbyak::CodeGenerator::pop(const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2604:41, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:58:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:34:18: note: object ‘reg_tmp’ of size 8 34 | Xbyak::Reg64 reg_tmp = [&]() { | ^~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opR_ModM(const Xbyak::Operand&, int, int, int, int, int, bool, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2074:10, inlined from ‘void Xbyak::CodeGenerator::not_(const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:600:40, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:65:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:34:18: note: object ‘reg_tmp’ of size 8 34 | Xbyak::Reg64 reg_tmp = [&]() { | ^~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opPushPop(const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2159:11, inlined from ‘void Xbyak::CodeGenerator::opPushPop(const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2148:7, inlined from ‘void Xbyak::CodeGenerator::pop(const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2604:41, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:76:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:34:18: note: object ‘reg_tmp’ of size 8 34 | Xbyak::Reg64 reg_tmp = [&]() { | ^~~~~~~ [ 5%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/cpu_inner_product_list.cpp.o [ 5%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/x86/uarch.c.o [ 5%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/x86/name.c.o [ 5%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/x86/topology.c.o [ 5%] Built target kineto_api [ 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~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:30:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 30 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 7%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/x86/x86operand.cpp.o [ 7%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/cs16-bfly4/cs16-bfly4-samples4-scalar.c.o [ 7%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/leaky-relu.c.o [ 7%] Built target dnnl_graph_backend_fake [ 7%] Building C object confu-deps/XNNPACK/CMakeFiles/logging.dir/src/enums/datatype-strings.c.o [ 7%] Building C object confu-deps/NNPACK/CMakeFiles/nnpack_reference_layers.dir/src/ref/max-pooling-output.c.o [ 7%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-prod.dir/src/amalgam/sse.c.o [ 7%] Building C object 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/builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/microparams-init.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/microparams-init.h:259:38: note: previously declared as an array ‘union xnn_f32_scaleminmax_params[static 1]’ 259 | union xnn_f32_scaleminmax_params params[XNN_MIN_ELEMENTS(1)], \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/microparams-init.h:262:1: note: in expansion of macro ‘DECLARE_UPDATE_F32_SCALEMINMAX_PARAMS_FUNCTION’ 262 | DECLARE_UPDATE_F32_SCALEMINMAX_PARAMS_FUNCTION(xnn_update_f32_scaleminmax_scalar_params) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/microparams-init.c:1561:37: warning: argument 1 of type ‘union xnn_f32_scaleminmax_params *’ declared as a pointer [-Warray-parameter=] 1561 | union xnn_f32_scaleminmax_params* params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/microparams-init.h:259:38: note: previously declared as an array ‘union xnn_f32_scaleminmax_params[static 1]’ 259 | union xnn_f32_scaleminmax_params params[XNN_MIN_ELEMENTS(1)], \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/microparams-init.h:264:3: note: in expansion of macro ‘DECLARE_UPDATE_F32_SCALEMINMAX_PARAMS_FUNCTION’ 264 | DECLARE_UPDATE_F32_SCALEMINMAX_PARAMS_FUNCTION(xnn_update_f32_scaleminmax_sse_params) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/microparams-init.c:4144:29: warning: argument 1 of type ‘union xnn_f32_chw_params *’ declared as a pointer [-Warray-parameter=] 4144 | union xnn_f32_chw_params* params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/microparams-init.h:699:30: note: previously declared as an array ‘union xnn_f32_chw_params[static 1]’ 699 | union xnn_f32_chw_params params[XNN_MIN_ELEMENTS(1)], \ | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/microparams-init.h:707:3: note: in expansion of macro ‘DECLARE_UPDATE_F32_CHW_PARAMS_FUNCTION’ 707 | DECLARE_UPDATE_F32_CHW_PARAMS_FUNCTION(xnn_update_f32_chw_sse_stride1_params) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/microparams-init.c:4155:29: warning: argument 1 of type ‘union xnn_f32_chw_params *’ declared as a pointer [-Warray-parameter=] 4155 | union xnn_f32_chw_params* params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/microparams-init.h:699:30: note: previously declared as an array ‘union xnn_f32_chw_params[static 1]’ 699 | union xnn_f32_chw_params params[XNN_MIN_ELEMENTS(1)], \ | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/microparams-init.h:708:3: note: in expansion of macro ‘DECLARE_UPDATE_F32_CHW_PARAMS_FUNCTION’ 708 | DECLARE_UPDATE_F32_CHW_PARAMS_FUNCTION(xnn_update_f32_chw_sse_stride2_params) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 7%] Building CXX object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/fc-prepack.cc.o [ 7%] Built target nnpack_reference_layers [ 7%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/indirection.c.o [ 7%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/operator-run.c.o [ 7%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-prod.dir/src/amalgam/ssse3.c.o [ 7%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/passes/memory_planning.cpp.o [ 7%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/io/tokenizer.cc.o [ 7%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/cs16-fftr/gen/cs16-fftr-scalar-x2.c.o [ 7%] Building CXX object c10/CMakeFiles/c10.dir/core/SymInt.cpp.o [ 7%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/fully-connected-sparse.c.o [ 7%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/fully-connected.c.o [ 7%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/passes/transform.cpp.o [ 7%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/global-average-pooling.c.o [ 7%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/cs16-fftr/gen/cs16-fftr-scalar-x4.c.o [ 7%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/hardsigmoid.c.o [ 7%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/map_field.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:42:44: warning: argument 11 of type ‘const union xnn_f32_scaleminmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 42 | const union xnn_f32_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:10: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:69:47: note: previously declared as ‘const union xnn_f32_scaleminmax_params *’ 69 | const union xnn_f32_scaleminmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:73:1: note: in expansion of macro ‘DECLARE_F32_AVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 73 | DECLARE_F32_AVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_f32_avgpool_minmax_ukernel_9p8x__sse_c4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:363:44: warning: argument 10 of type ‘const union xnn_f32_scaleminmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 363 | const union xnn_f32_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:90:47: note: previously declared as ‘const union xnn_f32_scaleminmax_params *’ 90 | const union xnn_f32_scaleminmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:94:1: note: in expansion of macro ‘DECLARE_F32_AVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 94 | DECLARE_F32_AVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_avgpool_minmax_ukernel_9x__sse_c4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:535:39: warning: argument 13 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 535 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/conv.h:73:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 73 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/conv.h:79:1: note: in expansion of macro ‘DECLARE_F32_CONV_HWC2CHW_UKERNEL_FUNCTION’ 79 | DECLARE_F32_CONV_HWC2CHW_UKERNEL_FUNCTION(xnn_f32_conv_hwc2chw_ukernel_3x3s2p1c3x4__sse_2x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 7%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/bf16/jit_avx512_core_gemv_bf16bf16f32_kern.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:1174:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1174 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:260:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 260 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_25p8c__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:1847:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1847 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:171:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 171 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_3p8c__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:1992:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1992 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:200:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 200 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_4p8c__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:2161:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2161 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:231:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 231 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_9p8c__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:2448:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2448 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1160:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1160 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__sse_2x4_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:2724:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2724 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1244:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1244 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3s2p1__sse_1x4_acc3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:2907:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2907 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1329:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1329 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5p2__sse_4x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:3685:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3685 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1420:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1420 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5s2p2__sse_2x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:4172:41: warning: argument 5 of type ‘const union xnn_f32_gavgpool_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4172 | const union xnn_f32_gavgpool_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:314:44: note: previously declared as ‘const union xnn_f32_gavgpool_params *’ 314 | const union xnn_f32_gavgpool_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:318:1: note: in expansion of macro ‘DECLARE_F32_GAVGPOOL_CW_UKERNEL_FUNCTION’ 318 | DECLARE_F32_GAVGPOOL_CW_UKERNEL_FUNCTION(xnn_f32_gavgpool_cw_ukernel__sse_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:4284:44: warning: argument 8 of type ‘const union xnn_f32_scaleminmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4284 | const union xnn_f32_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:31:47: note: previously declared as ‘const union xnn_f32_scaleminmax_params *’ 31 | const union xnn_f32_scaleminmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:35:1: note: in expansion of macro ‘DECLARE_F32_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 35 | DECLARE_F32_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_f32_gavgpool_minmax_ukernel_7p7x__sse_c4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:4478:44: warning: argument 7 of type ‘const union xnn_f32_scaleminmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4478 | const union xnn_f32_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:49:47: note: previously declared as ‘const union xnn_f32_scaleminmax_params *’ 49 | const union xnn_f32_scaleminmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:53:1: note: in expansion of macro ‘DECLARE_F32_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 53 | DECLARE_F32_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_gavgpool_minmax_ukernel_7x__sse_c4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:4590:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4590 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:229:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 229 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_1x8__sse_load1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:4674:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4674 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:244:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 244 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_4x2c4__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:4821:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4821 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:231:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 231 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_4x8__sse_load1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 7%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/hardswish.c.o [ 7%] Building C object confu-deps/XNNPACK/CMakeFiles/normalization.dir/src/normalization.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:5322:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5322 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:143:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 143 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_1x8__sse_load1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:5419:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5419 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:158:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 158 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_4x2c4__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:5583:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5583 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:145:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 145 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_4x8__sse_load1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:5764:39: warning: argument 9 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5764 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:20: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/maxpool.h:48:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 48 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/maxpool.h:52:1: note: in expansion of macro ‘DECLARE_F32_MAXPOOL_MINMAX_UKERNEL_FUNCTION’ 52 | DECLARE_F32_MAXPOOL_MINMAX_UKERNEL_FUNCTION(xnn_f32_maxpool_minmax_ukernel_9p8x__sse_c4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 7%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/cs16-vsquareabs/gen/cs16-vsquareabs-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:6016:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 6016 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:22: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/pavgpool.h:69:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 69 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/pavgpool.h:73:1: note: in expansion of macro ‘DECLARE_F32_PAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 73 | DECLARE_F32_PAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_f32_pavgpool_minmax_ukernel_9p8x__sse_c4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:6340:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 6340 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/pavgpool.h:91:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 91 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/pavgpool.h:95:1: note: in expansion of macro ‘DECLARE_F32_PAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 95 | DECLARE_F32_PAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_pavgpool_minmax_ukernel_9x__sse_c4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:6555:39: warning: argument 9 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 6555 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:24: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:29:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 29 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:108:1: note: in expansion of macro ‘DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION’ 108 | DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_spmm_minmax_ukernel_32x1__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:6797:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 6797 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:26: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:339:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 339 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vadd_minmax_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:6869:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 6869 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:541:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 541 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vaddc_minmax_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:6933:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 6933 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:362:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 362 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vdiv_minmax_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:7005:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7005 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:564:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 564 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vdivc_minmax_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:7069:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7069 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:197:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 197 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmax_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:7130:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7130 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:479:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 479 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmaxc_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 7%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/u8lut32norm/scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:7183:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7183 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:220:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 220 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmin_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:7244:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7244 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:502:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 502 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vminc_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 7%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/message.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:7297:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7297 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:385:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 385 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmul_minmax_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:7369:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7369 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:610:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 610 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmulc_minmax_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:7433:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7433 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:587:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 587 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vrdivc_minmax_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:7497:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7497 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:656:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 656 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vrsubc_minmax_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:7561:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7561 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:243:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 243 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsqrdiff_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:7626:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7626 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:525:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 525 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsqrdiffc_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:7683:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7683 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:408:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 408 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vsub_minmax_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:7755:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7755 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:633:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 633 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vsubc_minmax_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:7818:39: warning: argument 4 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7818 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:240:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 240 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:252:1: note: in expansion of macro ‘DECLARE_F32_VCLAMP_UKERNEL_FUNCTION’ 252 | DECLARE_F32_VCLAMP_UKERNEL_FUNCTION(xnn_f32_vclamp_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:7873:39: warning: argument 4 of type ‘const union xnn_f32_hswish_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7873 | const union xnn_f32_hswish_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:498:42: note: previously declared as ‘const union xnn_f32_hswish_params *’ 498 | const union xnn_f32_hswish_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:505:1: note: in expansion of macro ‘DECLARE_F32_VHSWISH_UKERNEL_FUNCTION’ 505 | DECLARE_F32_VHSWISH_UKERNEL_FUNCTION(xnn_f32_vhswish_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:7943:38: warning: argument 4 of type ‘const union xnn_f32_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7943 | const union xnn_f32_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:548:41: note: previously declared as ‘const union xnn_f32_lrelu_params *’ 548 | const union xnn_f32_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:555:1: note: in expansion of macro ‘DECLARE_F32_VLRELU_UKERNEL_FUNCTION’ 555 | DECLARE_F32_VLRELU_UKERNEL_FUNCTION(xnn_f32_vlrelu_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:8006:39: warning: argument 8 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 8006 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:27: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmulcaddc.h:28:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 28 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmulcaddc.h:36:1: note: in expansion of macro ‘DECLARE_F32_VMULCADDC_MINMAX_UKERNEL_FUNCTION’ 36 | DECLARE_F32_VMULCADDC_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmulcaddc_minmax_ukernel_c4__sse_2x) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:8111:37: warning: argument 4 of type ‘const union xnn_f32_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 8111 | const union xnn_f32_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:734:40: note: previously declared as ‘const union xnn_f32_sqrt_params *’ 734 | const union xnn_f32_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:761:1: note: in expansion of macro ‘DECLARE_F32_VSQRT_UKERNEL_FUNCTION’ 761 | DECLARE_F32_VSQRT_UKERNEL_FUNCTION(xnn_f32_vsqrt_ukernel__sse_sqrt_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:8143:36: warning: argument 4 of type ‘const union xnn_f32_abs_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 8143 | const union xnn_f32_abs_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:213:39: note: previously declared as ‘const union xnn_f32_abs_params *’ 213 | const union xnn_f32_abs_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:219:1: note: in expansion of macro ‘DECLARE_F32_VABS_UKERNEL_FUNCTION’ 219 | DECLARE_F32_VABS_UKERNEL_FUNCTION(xnn_f32_vabs_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:8188:36: warning: argument 4 of type ‘const union xnn_f32_neg_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 8188 | const union xnn_f32_neg_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:595:39: note: previously declared as ‘const union xnn_f32_neg_params *’ 595 | const union xnn_f32_neg_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:602:1: note: in expansion of macro ‘DECLARE_F32_VNEG_UKERNEL_FUNCTION’ 602 | DECLARE_F32_VNEG_UKERNEL_FUNCTION(xnn_f32_vneg_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:8233:40: warning: argument 4 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 8233 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1102:43: note: previously declared as ‘const union xnn_f32_default_params *’ 1102 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1108:1: note: in expansion of macro ‘DECLARE_F32_VSQR_UKERNEL_FUNCTION’ 1108 | DECLARE_F32_VSQR_UKERNEL_FUNCTION(xnn_f32_vsqr_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:8356:42: warning: argument 7 of type ‘const union xnn_x32_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 8356 | const union xnn_x32_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:25: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:81:45: note: previously declared as ‘const union xnn_x32_transpose_params *’ 81 | const union xnn_x32_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:128:1: note: in expansion of macro ‘DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION’ 128 | DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x32_transposec_ukernel__4x4_sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 7%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/leaky-relu.c.o [ 7%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/max-pooling.c.o [ 7%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/x8lut/scalar.c.o [ 7%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/sigmoid.c.o [ 7%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/cs16-vsquareabs/gen/cs16-vsquareabs-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/x8lut/scalar.c:17:19: warning: argument 3 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 17 | const uint8_t t[RESTRICT_STATIC 256], | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/x8lut/scalar.c:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/x8lut.h:25:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 25 | const uint8_t* t, \ | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/x8lut.h:28:1: note: in expansion of macro ‘DECLARE_X8LUT_UKERNEL_FUNCTION’ 28 | DECLARE_X8LUT_UKERNEL_FUNCTION(x8lut_ukernel__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 7%] Built target normalization [ 7%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/sgemm/6x8-psimd.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_reflection.cc: In member function ‘void google::protobuf::Reflection::ClearField(google::protobuf::Message*, const google::protobuf::FieldDescriptor*) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_reflection.cc:857:42: warning: comparison of integer expressions of different signedness: ‘google::protobuf::uint32’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] 857 | if (schema_.HasBitIndex(field) == -1) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ [ 7%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-prod.dir/src/amalgam/sse41.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_reflection.cc: In member function ‘void google::protobuf::Reflection::ListFieldsMayFailOnStripped(const google::protobuf::Message&, bool, std::vector*) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_reflection.cc:1082:57: warning: comparison of integer expressions of different signedness: ‘const google::protobuf::uint32’ {aka ‘const unsigned int’} and ‘int’ [-Wsign-compare] 1082 | if (oneof_case_array[containing_oneof->index()] == field->number()) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_reflection.cc:1085:50: warning: comparison of integer expressions of different signedness: ‘const google::protobuf::uint32’ {aka ‘const unsigned int’} and ‘int’ [-Wsign-compare] 1085 | } else if (has_bits && has_bits_indices[i] != -1) { | ~~~~~~~~~~~~~~~~~~~~^~~~~ [ 7%] Building C object confu-deps/XNNPACK/CMakeFiles/packing.dir/src/packing.c.o [ 7%] Built target indirection /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/ssse3.c:27:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/ssse3.c:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1170:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1170 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__ssse3_2x4_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/ssse3.c:239:36: warning: argument 4 of type ‘const union xnn_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 239 | const union xnn_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/ssse3.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:304:39: note: previously declared as ‘const union xnn_qs8_cvt_params *’ 304 | const union xnn_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:314:1: note: in expansion of macro ‘DECLARE_QS8_VCVT_UKERNEL_FUNCTION’ 314 | DECLARE_QS8_VCVT_UKERNEL_FUNCTION(xnn_qs8_vcvt_ukernel__ssse3_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/ssse3.c:353:38: warning: argument 4 of type ‘const union xnn_qs8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 353 | const union xnn_qs8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/ssse3.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:24:41: note: previously declared as ‘const union xnn_qs8_lrelu_params *’ 24 | const union xnn_qs8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:34:1: note: in expansion of macro ‘DECLARE_QS8_VLRELU_UKERNEL_FUNCTION’ 34 | DECLARE_QS8_VLRELU_UKERNEL_FUNCTION(xnn_qs8_vlrelu_ukernel__ssse3_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 7%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/softargmax.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/ssse3.c:492:36: warning: argument 4 of type ‘const union xnn_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 492 | const union xnn_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:397:39: note: previously declared as ‘const union xnn_qu8_cvt_params *’ 397 | const union xnn_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:407:1: note: in expansion of macro ‘DECLARE_QU8_VCVT_UKERNEL_FUNCTION’ 407 | DECLARE_QU8_VCVT_UKERNEL_FUNCTION(xnn_qu8_vcvt_ukernel__ssse3_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/ssse3.c:603:38: warning: argument 4 of type ‘const union xnn_qu8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 603 | const union xnn_qu8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:79:41: note: previously declared as ‘const union xnn_qu8_lrelu_params *’ 79 | const union xnn_qu8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:89:1: note: in expansion of macro ‘DECLARE_QU8_VLRELU_UKERNEL_FUNCTION’ 89 | DECLARE_QU8_VLRELU_UKERNEL_FUNCTION(xnn_qu8_vlrelu_ukernel__ssse3_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/ssse3.c:742:42: warning: argument 7 of type ‘const union xnn_x24_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 742 | const union xnn_x24_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/ssse3.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:143:45: note: previously declared as ‘const union xnn_x24_transpose_params *’ 143 | const union xnn_x24_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:155:1: note: in expansion of macro ‘DECLARE_X24_TRANSPOSEC_UKERNEL_FUNCTION’ 155 | DECLARE_X24_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x24_transposec_ukernel__4x4_ssse3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 7%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/reflection_ops.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_reflection.cc: In member function ‘bool google::protobuf::Reflection::HasBit(const google::protobuf::Message&, const google::protobuf::FieldDescriptor*) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_reflection.cc:1975:34: warning: comparison of integer expressions of different signedness: ‘google::protobuf::uint32’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] 1975 | if (schema_.HasBitIndex(field) != -1) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_reflection.cc: In member function ‘void google::protobuf::Reflection::SetBit(google::protobuf::Message*, const google::protobuf::FieldDescriptor*) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_reflection.cc:2039:13: warning: comparison of integer expressions of different signedness: ‘const google::protobuf::uint32’ {aka ‘const unsigned int’} and ‘int’ [-Wsign-compare] 2039 | if (index == -1) return; | ~~~~~~^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_reflection.cc: In member function ‘void google::protobuf::Reflection::ClearBit(google::protobuf::Message*, const google::protobuf::FieldDescriptor*) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_reflection.cc:2051:13: warning: comparison of integer expressions of different signedness: ‘const google::protobuf::uint32’ {aka ‘const unsigned int’} and ‘int’ [-Wsign-compare] 2051 | if (index == -1) return; | ~~~~~~^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_reflection.cc: In member function ‘bool google::protobuf::Reflection::HasOneofField(const google::protobuf::Message&, const google::protobuf::FieldDescriptor*) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_reflection.cc:2085:60: warning: comparison of integer expressions of different signedness: ‘google::protobuf::uint32’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] 2085 | return (GetOneofCase(message, field->containing_oneof()) == field->number()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ [ 7%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/q8avgpool/mp8x9p8q-sse2.c.o [ 7%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/tanh.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/sgemm/6x8-psimd.c:23:42: warning: argument 9 of type ‘const struct qnnp_fp32_clamping_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const struct qnnp_fp32_clamping_params clamping_params[restrict static 1]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/sgemm/6x8-psimd.c:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/sgemm.h:30:47: note: previously declared as ‘const struct qnnp_fp32_clamping_params *’ 30 | const struct qnnp_fp32_clamping_params* clamping_params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/sgemm.h:35:1: note: in expansion of macro ‘DECLARE_SGEMM_UKERNEL_FUNCTION’ 35 | DECLARE_SGEMM_UKERNEL_FUNCTION(sgemm_ukernel_6x8__psimd) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/tokenizer.cc: In static member function ‘static bool google::protobuf::io::Tokenizer::ParseInteger(const std::string&, google::protobuf::uint64, google::protobuf::uint64*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/tokenizer.cc:891:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘google::protobuf::uint64’ {aka ‘long unsigned int’} [-Wsign-compare] 891 | if (digit > max_value || result > (max_value - digit) / base) { | ~~~~~~^~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/tokenizer.h:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/tokenizer.cc:91: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/tokenizer.cc: In static member function ‘static double google::protobuf::io::Tokenizer::ParseFloat(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/tokenizer.cc:921:37: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 921 | GOOGLE_LOG_IF(DFATAL, end - start != text.size() || *start == '-') | ~~~~~~~~~~~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:151:5: note: in definition of macro ‘GOOGLE_LOG_IF’ 151 | !(CONDITION) ? (void)0 : GOOGLE_LOG(LEVEL) | ^~~~~~~~~ [ 7%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/cs16-vsquareabs/gen/cs16-vsquareabs-scalar-x3.c.o [ 7%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/service.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/tokenizer.cc: In instantiation of ‘bool google::protobuf::io::AllInClass(const std::string&) [with CharacterClass = {anonymous}::Alphanumeric; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/tokenizer.cc:1126:32: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/tokenizer.cc:1116:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1116 | for (int i = 0; i < s.size(); ++i) { | ~~^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/q8avgpool/mp8x9p8q-sse2.c:26:50: warning: argument 10 of type ‘const union qnnp_avgpool_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union qnnp_avgpool_quantization_params quantization_params[RESTRICT_STATIC 1]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/q8avgpool/mp8x9p8q-sse2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/q8avgpool.h:32:53: note: previously declared as ‘const union qnnp_avgpool_quantization_params *’ 32 | const union qnnp_avgpool_quantization_params* quantization_params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/q8avgpool.h:35:1: note: in expansion of macro ‘DECLARE_Q8MPAVGPOOL_UKERNEL_FUNCTION’ 35 | DECLARE_Q8MPAVGPOOL_UKERNEL_FUNCTION(q8avgpool_ukernel_mp8x9p8q__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 7%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/operator-delete.c.o [ 7%] Building CXX object c10/CMakeFiles/c10.dir/core/SymIntArrayRef.cpp.o [ 7%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/cs16-vsquareabs/gen/cs16-vsquareabs-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:41:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 41 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:30: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:42:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 42 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__sse2_int16_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/printer.cc: In member function ‘void google::protobuf::io::Printer::FormatInternal(const std::vector >&, const std::map, std::__cxx11::basic_string >&, const char*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/printer.cc:299:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 299 | if (arg_index != args.size()) { | ~~~~~~~~~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/printer.cc: In member function ‘const char* google::protobuf::io::Printer::WriteVariable(const std::vector >&, const std::map, std::__cxx11::basic_string >&, const char*, int*, std::vector, std::__cxx11::basic_string > >*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/printer.cc:327:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 327 | if (idx < 0 || idx >= args.size()) { | ~~~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:217:36: warning: argument 4 of type ‘const union xnn_f16_abs_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 217 | const union xnn_f16_abs_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:33: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:24:39: note: previously declared as ‘const union xnn_f16_abs_params *’ 24 | const union xnn_f16_abs_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:30:1: note: in expansion of macro ‘DECLARE_F16_VABS_UKERNEL_FUNCTION’ 30 | DECLARE_F16_VABS_UKERNEL_FUNCTION(xnn_f16_vabs_ukernel__sse2_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:269:36: warning: argument 4 of type ‘const union xnn_f16_neg_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 269 | const union xnn_f16_neg_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:80:39: note: previously declared as ‘const union xnn_f16_neg_params *’ 80 | const union xnn_f16_neg_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:87:1: note: in expansion of macro ‘DECLARE_F16_VNEG_UKERNEL_FUNCTION’ 87 | DECLARE_F16_VNEG_UKERNEL_FUNCTION(xnn_f16_vneg_ukernel__sse2_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/printer.cc:364:13: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 364 | if (idx >= args.size()) { | ~~~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:999:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 999 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 7%] Building CXX object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/conv-run.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:117:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 117 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__sse2_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:1355:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1355 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:178:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 178 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__sse2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:1492:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1492 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:251:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 251 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__sse2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:1629:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1629 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 7%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-scalar-x1.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:24: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:143:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 143 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__sse2_rr2_p5_x20_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:1890:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1890 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:299:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 299 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__sse2_rr2_lut16_p3_x12) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:2158:38: warning: argument 4 of type ‘const union xnn_f32_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2158 | const union xnn_f32_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:548:41: note: previously declared as ‘const union xnn_f32_lrelu_params *’ 548 | const union xnn_f32_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:558:1: note: in expansion of macro ‘DECLARE_F32_VLRELU_UKERNEL_FUNCTION’ 558 | DECLARE_F32_VLRELU_UKERNEL_FUNCTION(xnn_f32_vlrelu_ukernel__sse2_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:2216:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2216 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:722:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 722 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndd_ukernel__sse2_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:2284:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2284 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:668:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 668 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndne_ukernel__sse2_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:2346:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2346 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:704:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 704 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndu_ukernel__sse2_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 7%] Building C object confu-deps/XNNPACK/CMakeFiles/allocator.dir/src/allocator.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:2424:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2424 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:686:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 686 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndz_ukernel__sse2_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:2488:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2488 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:920:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 920 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__sse2_rr2_lut64_p2_div_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:2716:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2716 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1036:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1036 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p8c__sse2_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:3573:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3573 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:945:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 945 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_3p8c__sse2_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:3770:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3770 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:959:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 959 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p8c__sse2_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:4147:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4147 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 7%] Building C object confu-deps/XNNPACK/CMakeFiles/memory.dir/src/memory.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1863:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1863 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:4254:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4254 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 7%] Building CXX object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/deconv-run.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1865:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1865 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:4427:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4427 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1532:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1532 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:4546:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4546 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1534:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1534 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 7%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:4727:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4727 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:795:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 795 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p8c__sse2_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-scalar-x1.c:21:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:95:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 95 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:5509:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5509 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:699:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 699 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p8c__sse2_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:5853:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5853 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:359:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 359 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__sse2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:5976:47: warning: argument 8 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5976 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:111:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 111 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:128:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 128 | DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7p7x__sse2_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:6293:47: warning: argument 7 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 6293 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:162:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 162 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:179:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 179 | DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7x__sse2_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:6489:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 6489 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1409:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1409 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:6595:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 6595 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1411:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1411 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:6767:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 6767 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1155:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1155 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:6885:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 6885 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1157:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1157 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:7060:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7060 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:29: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:123:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 123 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__sse2_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:7175:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7175 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:178:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 178 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__sse2_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:7270:36: warning: argument 4 of type ‘const union xnn_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7270 | const union xnn_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:304:39: note: previously declared as ‘const union xnn_qs8_cvt_params *’ 304 | const union xnn_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:311:1: note: in expansion of macro ‘DECLARE_QS8_VCVT_UKERNEL_FUNCTION’ 311 | DECLARE_QS8_VCVT_UKERNEL_FUNCTION(xnn_qs8_vcvt_ukernel__sse2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven.cc:36: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.h: In instantiation of ‘void google::protobuf::internal::ResetOneofField(const ParseTable&, int, google::protobuf::Arena*, google::protobuf::MessageLite*, google::protobuf::uint32*, google::protobuf::int64, const void*) [with ProcessingType field_type = google::protobuf::internal::ProcessingType_STRING; google::protobuf::uint32 = unsigned int; google::protobuf::int64 = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.h:510:49: required from ‘bool google::protobuf::internal::MergePartialFromCodedStreamInlined(google::protobuf::MessageLite*, const ParseTable&, google::protobuf::io::CodedInputStream*) [with UnknownFieldHandler = {anonymous}::UnknownFieldHandler; unsigned int kMaxTag = 127]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.h:858:73: required from ‘bool google::protobuf::internal::MergePartialFromCodedStreamImpl(google::protobuf::MessageLite*, const ParseTable&, google::protobuf::io::CodedInputStream*) [with UnknownFieldHandler = {anonymous}::UnknownFieldHandler]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven.cc:97:62: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.h:184:19: warning: comparison of integer expressions of different signedness: ‘google::protobuf::uint32’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] 184 | if (*oneof_case == field_number) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:7434:38: warning: argument 4 of type ‘const union xnn_qs8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7434 | const union xnn_qs8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:24:41: note: previously declared as ‘const union xnn_qs8_lrelu_params *’ 24 | const union xnn_qs8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:31:1: note: in expansion of macro ‘DECLARE_QS8_VLRELU_UKERNEL_FUNCTION’ 31 | DECLARE_QS8_VLRELU_UKERNEL_FUNCTION(xnn_qs8_vlrelu_ukernel__sse2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.h: In instantiation of ‘void google::protobuf::internal::ResetOneofField(const ParseTable&, int, google::protobuf::Arena*, google::protobuf::MessageLite*, google::protobuf::uint32*, google::protobuf::int64, const void*) [with ProcessingType field_type = google::protobuf::internal::ProcessingType_MESSAGE; google::protobuf::uint32 = unsigned int; google::protobuf::int64 = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.h:703:50: required from ‘bool google::protobuf::internal::MergePartialFromCodedStreamInlined(google::protobuf::MessageLite*, const ParseTable&, google::protobuf::io::CodedInputStream*) [with UnknownFieldHandler = {anonymous}::UnknownFieldHandler; unsigned int kMaxTag = 127]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.h:858:73: required from ‘bool google::protobuf::internal::MergePartialFromCodedStreamImpl(google::protobuf::MessageLite*, const ParseTable&, google::protobuf::io::CodedInputStream*) [with UnknownFieldHandler = {anonymous}::UnknownFieldHandler]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven.cc:97:62: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.h:184:19: warning: comparison of integer expressions of different signedness: ‘google::protobuf::uint32’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:7627:43: warning: argument 5 of type ‘const union xnn_qs8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7627 | const union xnn_qs8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:91:46: note: previously declared as ‘const union xnn_qs8_mul_minmax_params *’ 91 | const union xnn_qs8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:105:1: note: in expansion of macro ‘DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION’ 105 | DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vmul_minmax_fp32_ukernel__sse2_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:7735:43: warning: argument 5 of type ‘const union xnn_qs8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7735 | const union xnn_qs8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:91:46: note: previously declared as ‘const union xnn_qs8_mul_minmax_params *’ 91 | const union xnn_qs8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:134:1: note: in expansion of macro ‘DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION’ 134 | DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vmulc_minmax_fp32_ukernel__sse2_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-scalar-x2.c:21:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:96:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 96 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:7844:47: warning: argument 11 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7844 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:112:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 112 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:116:1: note: in expansion of macro ‘DECLARE_QU8_AVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 116 | DECLARE_QU8_AVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qu8_avgpool_minmax_fp32_ukernel_9p8x__sse2_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:8228:47: warning: argument 10 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 8228 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:130:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 130 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:134:1: note: in expansion of macro ‘DECLARE_QU8_AVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 134 | DECLARE_QU8_AVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_avgpool_minmax_fp32_ukernel_9x__sse2_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:8447:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 8447 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:545:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 545 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p8c__sse2_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:9302:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 9302 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:536:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 536 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p8c__sse2_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:9671:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 9671 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:452:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 452 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__sse2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:9787:47: warning: argument 8 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 9787 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:214:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 214 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:231:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 231 | DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7p7x__sse2_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:10101:47: warning: argument 7 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 10101 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:265:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 265 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:282:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 282 | DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7x__sse2_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:10296:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 10296 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:832:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 832 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:10402:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 10402 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:834:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 834 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:10573:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 10573 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:585:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 585 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:10691:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 10691 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:587:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 587 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:10865:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 10865 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:36:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 36 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vadd_minmax_ukernel__sse2_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:10978:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 10978 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:74:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 74 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vaddc_minmax_ukernel__sse2_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:11072:36: warning: argument 4 of type ‘const union xnn_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 11072 | const union xnn_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:397:39: note: previously declared as ‘const union xnn_qu8_cvt_params *’ 397 | const union xnn_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:404:1: note: in expansion of macro ‘DECLARE_QU8_VCVT_UKERNEL_FUNCTION’ 404 | DECLARE_QU8_VCVT_UKERNEL_FUNCTION(xnn_qu8_vcvt_ukernel__sse2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:11233:38: warning: argument 4 of type ‘const union xnn_qu8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 11233 | const union xnn_qu8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:79:41: note: previously declared as ‘const union xnn_qu8_lrelu_params *’ 79 | const union xnn_qu8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:86:1: note: in expansion of macro ‘DECLARE_QU8_VLRELU_UKERNEL_FUNCTION’ 86 | DECLARE_QU8_VLRELU_UKERNEL_FUNCTION(xnn_qu8_vlrelu_ukernel__sse2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:11422:43: warning: argument 5 of type ‘const union xnn_qu8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 11422 | const union xnn_qu8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:25:46: note: previously declared as ‘const union xnn_qu8_mul_minmax_params *’ 25 | const union xnn_qu8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:39:1: note: in expansion of macro ‘DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION’ 39 | DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vmul_minmax_fp32_ukernel__sse2_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 7%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-scalar-x3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:11532:43: warning: argument 5 of type ‘const union xnn_qu8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 11532 | const union xnn_qu8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:25:46: note: previously declared as ‘const union xnn_qu8_mul_minmax_params *’ 25 | const union xnn_qu8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:68:1: note: in expansion of macro ‘DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION’ 68 | DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vmulc_minmax_fp32_ukernel__sse2_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:11770:38: warning: argument 9 of type ‘const union xnn_s8_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 11770 | const union xnn_s8_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:21: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/maxpool.h:86:41: note: previously declared as ‘const union xnn_s8_minmax_params *’ 86 | const union xnn_s8_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/maxpool.h:92:1: note: in expansion of macro ‘DECLARE_S8_MAXPOOL_MINMAX_UKERNEL_FUNCTION’ 92 | DECLARE_S8_MAXPOOL_MINMAX_UKERNEL_FUNCTION(xnn_s8_maxpool_minmax_ukernel_9p8x__sse2_c16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:12034:38: warning: argument 4 of type ‘const union xnn_s8_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 12034 | const union xnn_s8_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1129:41: note: previously declared as ‘const union xnn_s8_minmax_params *’ 1129 | const union xnn_s8_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1133:1: note: in expansion of macro ‘DECLARE_S8_VCLAMP_UKERNEL_FUNCTION’ 1133 | DECLARE_S8_VCLAMP_UKERNEL_FUNCTION(xnn_s8_vclamp_ukernel__sse2_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:12258:38: warning: argument 9 of type ‘const union xnn_u8_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 12258 | const union xnn_u8_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/maxpool.h:68:41: note: previously declared as ‘const union xnn_u8_minmax_params *’ 68 | const union xnn_u8_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/maxpool.h:72:1: note: in expansion of macro ‘DECLARE_U8_MAXPOOL_MINMAX_UKERNEL_FUNCTION’ 72 | DECLARE_U8_MAXPOOL_MINMAX_UKERNEL_FUNCTION(xnn_u8_maxpool_minmax_ukernel_9p8x__sse2_c16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 7%] Building CXX object c10/CMakeFiles/c10.dir/core/SymNodeImpl.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:12539:38: warning: argument 4 of type ‘const union xnn_u8_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 12539 | const union xnn_u8_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1143:41: note: previously declared as ‘const union xnn_u8_minmax_params *’ 1143 | const union xnn_u8_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1147:1: note: in expansion of macro ‘DECLARE_U8_VCLAMP_UKERNEL_FUNCTION’ 1147 | DECLARE_U8_VCLAMP_UKERNEL_FUNCTION(xnn_u8_vclamp_ukernel__sse2_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:12615:42: warning: argument 7 of type ‘const union xnn_x16_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 12615 | const union xnn_x16_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:26: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:165:45: note: previously declared as ‘const union xnn_x16_transpose_params *’ 165 | const union xnn_x16_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:195:1: note: in expansion of macro ‘DECLARE_X16_TRANSPOSEC_UKERNEL_FUNCTION’ 195 | DECLARE_X16_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x16_transposec_ukernel__8x8_reuse_multi_sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 7%] Building C object confu-deps/XNNPACK/CMakeFiles/mutex.dir/src/mutex.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:13208:41: warning: argument 7 of type ‘const union xnn_x8_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 13208 | const union xnn_x8_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:212:44: note: previously declared as ‘const union xnn_x8_transpose_params *’ 212 | const union xnn_x8_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:230:1: note: in expansion of macro ‘DECLARE_X8_TRANSPOSEC_UKERNEL_FUNCTION’ 230 | DECLARE_X8_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x8_transposec_ukernel__16x16_reuse_mov_sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 7%] Building CXX object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/fc-run.cc.o [ 7%] Built target allocator [ 7%] Built target memory [ 7%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-scalar-x4.c.o [ 7%] Building CXX object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/fc-unpack.cc.o [ 7%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/q8avgpool/up8x9-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-scalar-x3.c:21:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-scalar-x3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:97:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 97 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__scalar_x3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-scalar-x4.c:21:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:98:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 98 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 7%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-argmaxpool/f32-argmaxpool-4x-scalar-c1.c.o [ 7%] Built target mutex /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:32:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:22: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:50:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 50 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__sse41_int16_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 7%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-argmaxpool/f32-argmaxpool-9p8x-scalar-c1.c.o [ 7%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/q8avgpool/up8xm-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:164:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 164 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:121:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 121 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__sse41_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:418:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 418 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:183:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 183 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__sse41_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:550:38: warning: argument 4 of type ‘const union xnn_f32_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 550 | const union xnn_f32_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:25: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:548:41: note: previously declared as ‘const union xnn_f32_lrelu_params *’ 548 | const union xnn_f32_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:561:1: note: in expansion of macro ‘DECLARE_F32_VLRELU_UKERNEL_FUNCTION’ 561 | DECLARE_F32_VLRELU_UKERNEL_FUNCTION(xnn_f32_vlrelu_ukernel__sse41_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:604:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 604 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:724:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 724 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndd_ukernel__sse41_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:650:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 650 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:670:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 670 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndne_ukernel__sse41_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:696:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 696 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:706:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 706 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndu_ukernel__sse41_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:742:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 742 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:688:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 688 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndz_ukernel__sse41_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/q8avgpool/up8x9-sse2.c:25:50: warning: argument 9 of type ‘const union qnnp_avgpool_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union qnnp_avgpool_quantization_params quantization_params[RESTRICT_STATIC 1]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/q8avgpool/up8x9-sse2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/q8avgpool.h:47:53: note: previously declared as ‘const union qnnp_avgpool_quantization_params *’ 47 | const union qnnp_avgpool_quantization_params* quantization_params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/q8avgpool.h:51:1: note: in expansion of macro ‘DECLARE_Q8UPAVGPOOL_UKERNEL_FUNCTION’ 51 | DECLARE_Q8UPAVGPOOL_UKERNEL_FUNCTION(q8avgpool_ukernel_up8x9__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:790:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 790 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:927:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 927 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__sse41_rr2_lut64_p2_div_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:997:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 997 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1043:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1043 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p8c__sse41_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 7%] Building CXX object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/fc-dynamic-run.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:1804:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1804 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:946:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 946 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_3p8c__sse41_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:1995:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1995 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:966:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 966 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p8c__sse41_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:2354:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2354 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1867:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1867 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:2460:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2460 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1869:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1869 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:2629:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2629 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1536:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1536 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:2747:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2747 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1538:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1538 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 7%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/q8conv/4x4c2-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:2926:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2926 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:802:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 802 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p8c__sse41_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:3682:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3682 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:706:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 706 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p8c__sse41_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:4016:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4016 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:362:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 362 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__sse41_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:4093:47: warning: argument 8 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4093 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:111:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 111 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:132:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 132 | DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7p7x__sse41_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:4351:47: warning: argument 7 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4351 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:162:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 162 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:183:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 183 | DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7x__sse41_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:4516:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4516 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1417:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1417 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:4621:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4621 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1419:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1419 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:4789:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4789 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1163:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1163 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:4906:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4906 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1165:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1165 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:5079:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5079 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:21: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:128:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 128 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__sse41_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:5190:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5190 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:183:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 183 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__sse41_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:5283:36: warning: argument 4 of type ‘const union xnn_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5283 | const union xnn_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:304:39: note: previously declared as ‘const union xnn_qs8_cvt_params *’ 304 | const union xnn_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:318:1: note: in expansion of macro ‘DECLARE_QS8_VCVT_UKERNEL_FUNCTION’ 318 | DECLARE_QS8_VCVT_UKERNEL_FUNCTION(xnn_qs8_vcvt_ukernel__sse41_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:5370:38: warning: argument 4 of type ‘const union xnn_qs8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5370 | const union xnn_qs8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:23: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:24:41: note: previously declared as ‘const union xnn_qs8_lrelu_params *’ 24 | const union xnn_qs8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:38:1: note: in expansion of macro ‘DECLARE_QS8_VLRELU_UKERNEL_FUNCTION’ 38 | DECLARE_QS8_VLRELU_UKERNEL_FUNCTION(xnn_qs8_vlrelu_ukernel__sse41_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:5477:43: warning: argument 5 of type ‘const union xnn_qs8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5477 | const union xnn_qs8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:24: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:91:46: note: previously declared as ‘const union xnn_qs8_mul_minmax_params *’ 91 | const union xnn_qs8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:109:1: note: in expansion of macro ‘DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION’ 109 | DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vmul_minmax_fp32_ukernel__sse41_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:5605:43: warning: argument 5 of type ‘const union xnn_qs8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5605 | const union xnn_qs8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:91:46: note: previously declared as ‘const union xnn_qs8_mul_minmax_params *’ 91 | const union xnn_qs8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:138:1: note: in expansion of macro ‘DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION’ 138 | DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vmulc_minmax_fp32_ukernel__sse41_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:5732:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5732 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:548:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 548 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p8c__sse41_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:6585:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 6585 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:539:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 539 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p8c__sse41_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:6952:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 6952 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:455:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 455 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__sse41_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:7029:47: warning: argument 8 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7029 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:214:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 214 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:235:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 235 | DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7p7x__sse41_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:7290:47: warning: argument 7 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7290 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:265:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 265 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:286:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 286 | DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7x__sse41_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:7456:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7456 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:836:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 836 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:7561:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7561 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:838:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 838 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:7729:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7729 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:589:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 589 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:7846:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7846 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:591:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 591 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:8019:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 8019 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:39:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 39 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vadd_minmax_ukernel__sse41_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:8126:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 8126 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:77:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 77 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vaddc_minmax_ukernel__sse41_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/q8avgpool/up8xm-sse2.c:25:50: warning: argument 9 of type ‘const union qnnp_avgpool_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union qnnp_avgpool_quantization_params quantization_params[RESTRICT_STATIC 1]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/q8avgpool/up8xm-sse2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/q8avgpool.h:47:53: note: previously declared as ‘const union qnnp_avgpool_quantization_params *’ 47 | const union qnnp_avgpool_quantization_params* quantization_params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/q8avgpool.h:52:1: note: in expansion of macro ‘DECLARE_Q8UPAVGPOOL_UKERNEL_FUNCTION’ 52 | DECLARE_Q8UPAVGPOOL_UKERNEL_FUNCTION(q8avgpool_ukernel_up8xm__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:8217:36: warning: argument 4 of type ‘const union xnn_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 8217 | const union xnn_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:397:39: note: previously declared as ‘const union xnn_qu8_cvt_params *’ 397 | const union xnn_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:411:1: note: in expansion of macro ‘DECLARE_QU8_VCVT_UKERNEL_FUNCTION’ 411 | DECLARE_QU8_VCVT_UKERNEL_FUNCTION(xnn_qu8_vcvt_ukernel__sse41_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:8304:38: warning: argument 4 of type ‘const union xnn_qu8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 8304 | const union xnn_qu8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:79:41: note: previously declared as ‘const union xnn_qu8_lrelu_params *’ 79 | const union xnn_qu8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:93:1: note: in expansion of macro ‘DECLARE_QU8_VLRELU_UKERNEL_FUNCTION’ 93 | DECLARE_QU8_VLRELU_UKERNEL_FUNCTION(xnn_qu8_vlrelu_ukernel__sse41_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:8411:43: warning: argument 5 of type ‘const union xnn_qu8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 8411 | const union xnn_qu8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:25:46: note: previously declared as ‘const union xnn_qu8_mul_minmax_params *’ 25 | const union xnn_qu8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:43:1: note: in expansion of macro ‘DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION’ 43 | DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vmul_minmax_fp32_ukernel__sse41_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 7%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/indirection.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:8539:43: warning: argument 5 of type ‘const union xnn_qu8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 8539 | const union xnn_qu8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:25:46: note: previously declared as ‘const union xnn_qu8_mul_minmax_params *’ 25 | const union xnn_qu8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:72:1: note: in expansion of macro ‘DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION’ 72 | DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vmulc_minmax_fp32_ukernel__sse41_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:8830:38: warning: argument 9 of type ‘const union xnn_s8_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 8830 | const union xnn_s8_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/maxpool.h:86:41: note: previously declared as ‘const union xnn_s8_minmax_params *’ 86 | const union xnn_s8_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/maxpool.h:93:1: note: in expansion of macro ‘DECLARE_S8_MAXPOOL_MINMAX_UKERNEL_FUNCTION’ 93 | DECLARE_S8_MAXPOOL_MINMAX_UKERNEL_FUNCTION(xnn_s8_maxpool_minmax_ukernel_9p8x__sse41_c16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:9072:38: warning: argument 4 of type ‘const union xnn_s8_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 9072 | const union xnn_s8_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1129:41: note: previously declared as ‘const union xnn_s8_minmax_params *’ 1129 | const union xnn_s8_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1134:1: note: in expansion of macro ‘DECLARE_S8_VCLAMP_UKERNEL_FUNCTION’ 1134 | DECLARE_S8_VCLAMP_UKERNEL_FUNCTION(xnn_s8_vclamp_ukernel__sse41_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 7%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/cpu_prelu_list.cpp.o [ 7%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-argmaxpool/f32-argmaxpool-9x-scalar-c1.c.o [ 7%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/q8dwconv/mp8x25-sse2.c.o [ 7%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-avgpool/f32-avgpool-9p8x-minmax-scalar-c1.c.o [ 7%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-prod.dir/src/amalgam/avx.c.o [ 7%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/q8dwconv/up8x9-sse2.c.o [ 7%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/operator-run.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-avgpool/f32-avgpool-9p8x-minmax-scalar-c1.c:23:44: warning: argument 11 of type ‘const union xnn_f32_scaleminmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-avgpool/f32-avgpool-9p8x-minmax-scalar-c1.c:8: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:69:47: note: previously declared as ‘const union xnn_f32_scaleminmax_params *’ 69 | const union xnn_f32_scaleminmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:72:1: note: in expansion of macro ‘DECLARE_F32_AVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 72 | DECLARE_F32_AVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_f32_avgpool_minmax_ukernel_9p8x__scalar_c1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 7%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/source_context.pb.cc.o [ 7%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/struct.pb.cc.o [ 7%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-prod.dir/src/amalgam/f16c.c.o [ 8%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-avgpool/f32-avgpool-9x-minmax-scalar-c1.c.o [ 8%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-conv-hwc2chw/f32-conv-hwc2chw-3x3s2p1c3x4-scalar-1x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-avgpool/f32-avgpool-9x-minmax-scalar-c1.c:22:44: warning: argument 10 of type ‘const union xnn_f32_scaleminmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-avgpool/f32-avgpool-9x-minmax-scalar-c1.c:8: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:90:47: note: previously declared as ‘const union xnn_f32_scaleminmax_params *’ 90 | const union xnn_f32_scaleminmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:93:1: note: in expansion of macro ‘DECLARE_F32_AVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 93 | DECLARE_F32_AVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_avgpool_minmax_ukernel_9x__scalar_c1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/q8conv/4x4c2-sse2.c:23:47: warning: argument 9 of type ‘const union qnnp_conv_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union qnnp_conv_quantization_params quantization_params[RESTRICT_STATIC 1]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/q8conv/4x4c2-sse2.c:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/q8conv.h:31:50: note: previously declared as ‘const union qnnp_conv_quantization_params *’ 31 | const union qnnp_conv_quantization_params* quantization_params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/q8conv.h:37:1: note: in expansion of macro ‘DECLARE_Q8CONV_UKERNEL_FUNCTION’ 37 | DECLARE_Q8CONV_UKERNEL_FUNCTION(q8conv_ukernel_4x4c2__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-conv-hwc2chw/f32-conv-hwc2chw-3x3s2p1c3x4-scalar-1x1.c:25:39: warning: argument 13 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-conv-hwc2chw/f32-conv-hwc2chw-3x3s2p1c3x4-scalar-1x1.c:8: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/conv.h:73:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 73 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/conv.h:77:1: note: in expansion of macro ‘DECLARE_F32_CONV_HWC2CHW_UKERNEL_FUNCTION’ 77 | DECLARE_F32_CONV_HWC2CHW_UKERNEL_FUNCTION(xnn_f32_conv_hwc2chw_ukernel_3x3s2p1c3x4__scalar_1x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 8%] Built target microparams-init [ 8%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/u8lut32norm/scalar.c.o [ 8%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-conv-hwc/f32-conv-hwc-3x3s2p0p1c3x4-scalar-1x1.c.o [ 8%] Building CXX object c10/CMakeFiles/c10.dir/core/TensorImpl.cpp.o [ 8%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/bf16/jit_avx512_core_s16_24x8_copy_an_kern_autogen.cpp.o [ 8%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/q8gavgpool/mp8x7p7q-sse2.c.o [ 8%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/passes/utils.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-conv-hwc/f32-conv-hwc-3x3s2p0p1c3x4-scalar-1x1.c:25:39: warning: argument 13 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-conv-hwc/f32-conv-hwc-3x3s2p0p1c3x4-scalar-1x1.c:8: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/conv.h:36:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 36 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/conv.h:52:1: note: in expansion of macro ‘DECLARE_F32_CONV_HWC_UKERNEL_FUNCTION’ 52 | DECLARE_F32_CONV_HWC_UKERNEL_FUNCTION(xnn_f32_conv_hwc_ukernel_3x3s2p0p1c3x4__scalar_1x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 8%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/patterns/binary_fusion.cpp.o [ 8%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-conv-hwc/f32-conv-hwc-3x3s2p1c3x4-scalar-1x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-conv-hwc/f32-conv-hwc-3x3s2p1c3x4-scalar-1x1.c:25:39: warning: argument 13 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-conv-hwc/f32-conv-hwc-3x3s2p1c3x4-scalar-1x1.c:8: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/conv.h:36:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 36 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/conv.h:42:1: note: in expansion of macro ‘DECLARE_F32_CONV_HWC_UKERNEL_FUNCTION’ 42 | DECLARE_F32_CONV_HWC_UKERNEL_FUNCTION(xnn_f32_conv_hwc_ukernel_3x3s2p1c3x4__scalar_1x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/q8gavgpool/mp8x7p7q-sse2.c:24:50: warning: argument 8 of type ‘const union qnnp_avgpool_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union qnnp_avgpool_quantization_params quantization_params[RESTRICT_STATIC 1]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/q8gavgpool/mp8x7p7q-sse2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/q8gavgpool.h:30:53: note: previously declared as ‘const union qnnp_avgpool_quantization_params *’ 30 | const union qnnp_avgpool_quantization_params* quantization_params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/q8gavgpool.h:33:1: note: in expansion of macro ‘DECLARE_Q8MPGAVGPOOL_UKERNEL_FUNCTION’ 33 | DECLARE_Q8MPGAVGPOOL_UKERNEL_FUNCTION(q8gavgpool_ukernel_mp8x7p7q__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 8%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/bf16/jit_avx512_core_s16_24x8_copy_at_kern_autogen.cpp.o [ 8%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/stubs/substitute.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/q8dwconv/up8x9-sse2.c:22:47: warning: argument 8 of type ‘const union qnnp_conv_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union qnnp_conv_quantization_params quantization_params[RESTRICT_STATIC 1]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/q8dwconv/up8x9-sse2.c:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/q8dwconv.h:30:48: note: previously declared as ‘const union qnnp_conv_quantization_params *’ 30 | const union qnnp_conv_quantization_params* quantization_params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/q8dwconv.h:34:1: note: in expansion of macro ‘DECLARE_Q8UPDWCONV_UKERNEL_FUNCTION’ 34 | DECLARE_Q8UPDWCONV_UKERNEL_FUNCTION(q8dwconv_ukernel_up8x9__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 8%] Building CXX object c10/CMakeFiles/c10.dir/core/TensorOptions.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:32:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:22: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:60:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 60 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__avx_int16_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:170:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 170 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:252:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 252 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_25p8c__avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 8%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/bf16/jit_avx512_core_s16_24x8_copy_bn_kern_autogen.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:612:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 612 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:173:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 173 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_3p16c__avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:767:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 767 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:202:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 202 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_4p16c__avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:946:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 946 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:233:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 233 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_9p16c__avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:1239:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1239 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:128:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 128 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__avx_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:1507:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1507 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:252:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 252 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_1x16__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:1599:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1599 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:257:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 257 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_5x16__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:1817:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1817 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:166:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 166 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_1x16__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:1922:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1922 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:171:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 171 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_5x16__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:34:44: warning: argument 11 of type ‘const union xnn_f16_scaleminmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_f16_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:10: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:34:47: note: previously declared as ‘const union xnn_f16_scaleminmax_params *’ 34 | const union xnn_f16_scaleminmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:36:1: note: in expansion of macro ‘DECLARE_F16_AVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 36 | DECLARE_F16_AVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_f16_avgpool_minmax_ukernel_9p8x__f16c_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:2287:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2287 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:188:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 188 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__avx_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:2393:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2393 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:256:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 256 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__avx_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/q8dwconv/mp8x25-sse2.c:23:47: warning: argument 9 of type ‘const union qnnp_conv_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union qnnp_conv_quantization_params quantization_params[RESTRICT_STATIC 1]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/q8dwconv/mp8x25-sse2.c:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/q8dwconv.h:46:48: note: previously declared as ‘const union qnnp_conv_quantization_params *’ 46 | const union qnnp_conv_quantization_params* quantization_params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/q8dwconv.h:49:1: note: in expansion of macro ‘DECLARE_Q8MPDWCONV_UKERNEL_FUNCTION’ 49 | DECLARE_Q8MPDWCONV_UKERNEL_FUNCTION(q8dwconv_ukernel_mp8x25__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 8%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/x8lut/scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:365:44: warning: argument 10 of type ‘const union xnn_f16_scaleminmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 365 | const union xnn_f16_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:51:47: note: previously declared as ‘const union xnn_f16_scaleminmax_params *’ 51 | const union xnn_f16_scaleminmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:53:1: note: in expansion of macro ‘DECLARE_F16_AVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 53 | DECLARE_F16_AVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_avgpool_minmax_ukernel_9x__f16c_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:536:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 536 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:19: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:70:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 70 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:590:44: warning: argument 8 of type ‘const union xnn_f16_scaleminmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 590 | const union xnn_f16_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:68:47: note: previously declared as ‘const union xnn_f16_scaleminmax_params *’ 68 | const union xnn_f16_scaleminmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:75:1: note: in expansion of macro ‘DECLARE_F16_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 75 | DECLARE_F16_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_f16_gavgpool_minmax_ukernel_7p7x__f16c_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:766:44: warning: argument 7 of type ‘const union xnn_f16_scaleminmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 766 | const union xnn_f16_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:89:47: note: previously declared as ‘const union xnn_f16_scaleminmax_params *’ 89 | const union xnn_f16_scaleminmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:96:1: note: in expansion of macro ‘DECLARE_F16_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 96 | DECLARE_F16_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_gavgpool_minmax_ukernel_7x__f16c_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:2500:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2500 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:884:39: warning: argument 9 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 884 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:21: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:329:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 329 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vadd_minmax_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/maxpool.h:32:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 32 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/maxpool.h:34:1: note: in expansion of macro ‘DECLARE_F16_MAXPOOL_MINMAX_UKERNEL_FUNCTION’ 34 | DECLARE_F16_MAXPOOL_MINMAX_UKERNEL_FUNCTION(xnn_f16_maxpool_minmax_ukernel_9p8x__f16c_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:2576:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2576 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:531:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 531 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vaddc_minmax_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:2650:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2650 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:352:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 352 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vdiv_minmax_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:1329:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1329 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:2726:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2726 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:554:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 554 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vdivc_minmax_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:84:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 84 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vadd_minmax_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:1411:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1411 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:149:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 149 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vaddc_minmax_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:2800:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2800 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:187:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 187 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmax_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:1488:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1488 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:85:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 85 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vdiv_minmax_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:2865:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2865 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:469:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 469 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmaxc_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:1548:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1548 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:150:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 150 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vdivc_minmax_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:2928:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2928 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:210:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 210 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmin_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:1606:40: warning: argument 5 of type ‘const union xnn_f16_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1606 | const union xnn_f16_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:27:45: note: previously declared as ‘const union xnn_f16_default_params *’ 27 | const union xnn_f16_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:55:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_UKERNEL_FUNCTION’ 55 | DECLARE_F16_VBINOP_UKERNEL_FUNCTION(xnn_f16_vmax_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:2993:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2993 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:492:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 492 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vminc_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:1677:40: warning: argument 5 of type ‘const union xnn_f16_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1677 | const union xnn_f16_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:27:45: note: previously declared as ‘const union xnn_f16_default_params *’ 27 | const union xnn_f16_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:110:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_UKERNEL_FUNCTION’ 110 | DECLARE_F16_VBINOP_UKERNEL_FUNCTION(xnn_f16_vmaxc_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:3056:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3056 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:375:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 375 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmul_minmax_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:1743:40: warning: argument 5 of type ‘const union xnn_f16_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1743 | const union xnn_f16_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:27:45: note: previously declared as ‘const union xnn_f16_default_params *’ 27 | const union xnn_f16_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:57:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_UKERNEL_FUNCTION’ 57 | DECLARE_F16_VBINOP_UKERNEL_FUNCTION(xnn_f16_vmin_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:1814:40: warning: argument 5 of type ‘const union xnn_f16_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1814 | const union xnn_f16_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:3132:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3132 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:27:45: note: previously declared as ‘const union xnn_f16_default_params *’ 27 | const union xnn_f16_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:112:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_UKERNEL_FUNCTION’ 112 | DECLARE_F16_VBINOP_UKERNEL_FUNCTION(xnn_f16_vminc_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:600:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 600 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmulc_minmax_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:1880:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1880 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:88:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 88 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vmul_minmax_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:3206:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3206 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:577:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 577 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vrdivc_minmax_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:1962:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1962 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:153:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 153 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vmulc_minmax_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:2039:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2039 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:154:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 154 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vrdivc_minmax_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:2097:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2097 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:157:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 157 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vrsubc_minmax_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:2174:40: warning: argument 5 of type ‘const union xnn_f16_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2174 | const union xnn_f16_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:27:45: note: previously declared as ‘const union xnn_f16_default_params *’ 27 | const union xnn_f16_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:59:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_UKERNEL_FUNCTION’ 59 | DECLARE_F16_VBINOP_UKERNEL_FUNCTION(xnn_f16_vsqrdiff_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:2249:40: warning: argument 5 of type ‘const union xnn_f16_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2249 | const union xnn_f16_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:27:45: note: previously declared as ‘const union xnn_f16_default_params *’ 27 | const union xnn_f16_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:114:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_UKERNEL_FUNCTION’ 114 | DECLARE_F16_VBINOP_UKERNEL_FUNCTION(xnn_f16_vsqrdiffc_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:2319:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2319 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:90:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 90 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vsub_minmax_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:2401:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2401 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:159:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 159 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vsubc_minmax_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:2477:39: warning: argument 4 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2477 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:20: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:38:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 38 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:44:1: note: in expansion of macro ‘DECLARE_F16_VCLAMP_UKERNEL_FUNCTION’ 44 | DECLARE_F16_VCLAMP_UKERNEL_FUNCTION(xnn_f16_vclamp_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:2539:39: warning: argument 4 of type ‘const union xnn_f16_hswish_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2539 | const union xnn_f16_hswish_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:66:42: note: previously declared as ‘const union xnn_f16_hswish_params *’ 66 | const union xnn_f16_hswish_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:72:1: note: in expansion of macro ‘DECLARE_F16_VHSWISH_UKERNEL_FUNCTION’ 72 | DECLARE_F16_VHSWISH_UKERNEL_FUNCTION(xnn_f16_vhswish_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:2616:38: warning: argument 4 of type ‘const union xnn_f16_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2616 | const union xnn_f16_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:534:41: note: previously declared as ‘const union xnn_f16_lrelu_params *’ 534 | const union xnn_f16_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:540:1: note: in expansion of macro ‘DECLARE_F16_VLRELU_UKERNEL_FUNCTION’ 540 | DECLARE_F16_VLRELU_UKERNEL_FUNCTION(xnn_f16_vlrelu_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:2678:36: warning: argument 4 of type ‘const union xnn_f16_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2678 | const union xnn_f16_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:95:39: note: previously declared as ‘const union xnn_f16_rnd_params *’ 95 | const union xnn_f16_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:113:1: note: in expansion of macro ‘DECLARE_F16_VRND_UKERNEL_FUNCTION’ 113 | DECLARE_F16_VRND_UKERNEL_FUNCTION(xnn_f16_vrndd_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:2734:36: warning: argument 4 of type ‘const union xnn_f16_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2734 | const union xnn_f16_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:95:39: note: previously declared as ‘const union xnn_f16_rnd_params *’ 95 | const union xnn_f16_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:98:1: note: in expansion of macro ‘DECLARE_F16_VRND_UKERNEL_FUNCTION’ 98 | DECLARE_F16_VRND_UKERNEL_FUNCTION(xnn_f16_vrndne_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:2790:36: warning: argument 4 of type ‘const union xnn_f16_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2790 | const union xnn_f16_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:95:39: note: previously declared as ‘const union xnn_f16_rnd_params *’ 95 | const union xnn_f16_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:108:1: note: in expansion of macro ‘DECLARE_F16_VRND_UKERNEL_FUNCTION’ 108 | DECLARE_F16_VRND_UKERNEL_FUNCTION(xnn_f16_vrndu_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:2846:36: warning: argument 4 of type ‘const union xnn_f16_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2846 | const union xnn_f16_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:95:39: note: previously declared as ‘const union xnn_f16_rnd_params *’ 95 | const union xnn_f16_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:103:1: note: in expansion of macro ‘DECLARE_F16_VRND_UKERNEL_FUNCTION’ 103 | DECLARE_F16_VRND_UKERNEL_FUNCTION(xnn_f16_vrndz_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:2902:37: warning: argument 4 of type ‘const union xnn_f16_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2902 | const union xnn_f16_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:190:40: note: previously declared as ‘const union xnn_f16_sqrt_params *’ 190 | const union xnn_f16_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:204:1: note: in expansion of macro ‘DECLARE_F16_VSQRT_UKERNEL_FUNCTION’ 204 | DECLARE_F16_VSQRT_UKERNEL_FUNCTION(xnn_f16_vsqrt_ukernel__f16c_sqrt_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:2942:40: warning: argument 4 of type ‘const union xnn_f16_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2942 | const union xnn_f16_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:176:43: note: previously declared as ‘const union xnn_f16_default_params *’ 176 | const union xnn_f16_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:182:1: note: in expansion of macro ‘DECLARE_F16_VSQR_UKERNEL_FUNCTION’ 182 | DECLARE_F16_VSQR_UKERNEL_FUNCTION(xnn_f16_vsqr_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:2994:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2994 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:132:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 132 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:3280:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3280 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:646:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 646 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vrsubc_minmax_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:3354:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3354 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:233:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 233 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsqrdiff_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:3423:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3423 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:515:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 515 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsqrdiffc_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:3490:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3490 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:398:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 398 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vsub_minmax_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:3566:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3566 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:623:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 623 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vsubc_minmax_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:3639:39: warning: argument 4 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3639 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:25: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:240:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 240 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:243:1: note: in expansion of macro ‘DECLARE_F32_VCLAMP_UKERNEL_FUNCTION’ 243 | DECLARE_F32_VCLAMP_UKERNEL_FUNCTION(xnn_f32_vclamp_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:3704:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3704 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:328:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 328 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx_rr2_lut4_p4_perm_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 8%] Building CXX object c10/CMakeFiles/c10.dir/core/UndefinedTensorImpl.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/x8lut/scalar.c:16:19: warning: argument 3 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 16 | const uint8_t t[RESTRICT_STATIC 256], | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/x8lut/scalar.c:11: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/x8lut.h:23:50: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 23 | size_t n, const uint8_t* x, const uint8_t* t, uint8_t* y); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/x8lut.h:25:1: note: in expansion of macro ‘DECLARE_PYTORCH_X8LUT_UKERNEL_FUNCTION’ 25 | DECLARE_PYTORCH_X8LUT_UKERNEL_FUNCTION(pytorch_x8lut_ukernel__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 8%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-1x1-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:3919:39: warning: argument 4 of type ‘const union xnn_f32_hswish_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3919 | const union xnn_f32_hswish_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:498:42: note: previously declared as ‘const union xnn_f32_hswish_params *’ 498 | const union xnn_f32_hswish_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:508:1: note: in expansion of macro ‘DECLARE_F32_VHSWISH_UKERNEL_FUNCTION’ 508 | DECLARE_F32_VHSWISH_UKERNEL_FUNCTION(xnn_f32_vhswish_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:3999:38: warning: argument 4 of type ‘const union xnn_f32_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3999 | const union xnn_f32_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:548:41: note: previously declared as ‘const union xnn_f32_lrelu_params *’ 548 | const union xnn_f32_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:564:1: note: in expansion of macro ‘DECLARE_F32_VLRELU_UKERNEL_FUNCTION’ 564 | DECLARE_F32_VLRELU_UKERNEL_FUNCTION(xnn_f32_vlrelu_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:4060:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4060 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:711:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 711 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndd_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:4117:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4117 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:657:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 657 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndne_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:4174:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4174 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:693:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 693 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndu_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:4231:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4231 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:675:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 675 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndz_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:4288:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4288 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:948:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 948 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx_rr2_p5_nr2_x40) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:4541:37: warning: argument 4 of type ‘const union xnn_f32_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4541 | const union xnn_f32_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:734:40: note: previously declared as ‘const union xnn_f32_sqrt_params *’ 734 | const union xnn_f32_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:764:1: note: in expansion of macro ‘DECLARE_F32_VSQRT_UKERNEL_FUNCTION’ 764 | DECLARE_F32_VSQRT_UKERNEL_FUNCTION(xnn_f32_vsqrt_ukernel__avx_sqrt_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:4584:36: warning: argument 4 of type ‘const union xnn_f32_abs_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4584 | const union xnn_f32_abs_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:213:39: note: previously declared as ‘const union xnn_f32_abs_params *’ 213 | const union xnn_f32_abs_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:222:1: note: in expansion of macro ‘DECLARE_F32_VABS_UKERNEL_FUNCTION’ 222 | DECLARE_F32_VABS_UKERNEL_FUNCTION(xnn_f32_vabs_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:4640:36: warning: argument 4 of type ‘const union xnn_f32_neg_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4640 | const union xnn_f32_neg_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:595:39: note: previously declared as ‘const union xnn_f32_neg_params *’ 595 | const union xnn_f32_neg_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:605:1: note: in expansion of macro ‘DECLARE_F32_VNEG_UKERNEL_FUNCTION’ 605 | DECLARE_F32_VNEG_UKERNEL_FUNCTION(xnn_f32_vneg_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:4696:40: warning: argument 4 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4696 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1102:43: note: previously declared as ‘const union xnn_f32_default_params *’ 1102 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1111:1: note: in expansion of macro ‘DECLARE_F32_VSQR_UKERNEL_FUNCTION’ 1111 | DECLARE_F32_VSQR_UKERNEL_FUNCTION(xnn_f32_vsqr_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:4757:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4757 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1055:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1055 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p16c__avx_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/reflection_ops.cc: In static member function ‘static void google::protobuf::internal::ReflectionOps::Merge(const google::protobuf::Message&, google::protobuf::Message*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/reflection_ops.cc:89:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 89 | for (int i = 0; i < fields.size(); i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/reflection_ops.cc: In static member function ‘static void google::protobuf::internal::ReflectionOps::Clear(google::protobuf::Message*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/reflection_ops.cc:184:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 184 | for (int i = 0; i < fields.size(); i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/reflection_ops.cc: In static member function ‘static bool google::protobuf::internal::ReflectionOps::IsInitialized(const google::protobuf::Message&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/reflection_ops.cc:274:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 274 | for (int i = 0; i < fields.size(); i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/reflection_ops.cc: In static member function ‘static void google::protobuf::internal::ReflectionOps::DiscardUnknownFields(google::protobuf::Message*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/reflection_ops.cc:333:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 333 | for (int i = 0; i < fields.size(); i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/reflection_ops.cc: In static member function ‘static void google::protobuf::internal::ReflectionOps::FindInitializationErrors(const google::protobuf::Message&, const std::string&, std::vector >*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/reflection_ops.cc:405:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 405 | for (int i = 0; i < fields.size(); i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:5715:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5715 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:947:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 947 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_3p16c__avx_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:5947:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5947 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:978:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 978 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p16c__avx_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:6377:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 6377 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1887:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1887 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:6479:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 6479 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1888:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1888 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:6613:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 6613 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1556:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1556 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:6727:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 6727 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1557:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1557 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 8%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/text_format.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:6870:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 6870 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:810:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 810 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p16c__avx_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 8%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/sgemm/6x8-psimd.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:7823:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7823 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:714:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 714 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p16c__avx_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:8242:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 8242 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:369:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 369 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__avx_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:8334:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 8334 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1441:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1441 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:8435:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 8435 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-1x1-acc2.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1442:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1442 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-1x1-acc2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1146:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1146 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__scalar_1x1_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:8568:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 8568 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1187:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1187 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:8681:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 8681 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1188:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1188 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:8818:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 8818 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:20: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:143:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 143 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__avx_mul32_ld32_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:8906:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 8906 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:198:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 198 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__avx_mul32_ld32_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:8984:36: warning: argument 4 of type ‘const union xnn_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 8984 | const union xnn_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:304:39: note: previously declared as ‘const union xnn_qs8_cvt_params *’ 304 | const union xnn_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:322:1: note: in expansion of macro ‘DECLARE_QS8_VCVT_UKERNEL_FUNCTION’ 322 | DECLARE_QS8_VCVT_UKERNEL_FUNCTION(xnn_qs8_vcvt_ukernel__avx_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:9071:38: warning: argument 4 of type ‘const union xnn_qs8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 9071 | const union xnn_qs8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:23: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:24:41: note: previously declared as ‘const union xnn_qs8_lrelu_params *’ 24 | const union xnn_qs8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:42:1: note: in expansion of macro ‘DECLARE_QS8_VLRELU_UKERNEL_FUNCTION’ 42 | DECLARE_QS8_VLRELU_UKERNEL_FUNCTION(xnn_qs8_vlrelu_ukernel__avx_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:9172:43: warning: argument 5 of type ‘const union xnn_qs8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 9172 | const union xnn_qs8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:24: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:91:46: note: previously declared as ‘const union xnn_qs8_mul_minmax_params *’ 91 | const union xnn_qs8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:112:1: note: in expansion of macro ‘DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION’ 112 | DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vmul_minmax_fp32_ukernel__avx_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:9300:43: warning: argument 5 of type ‘const union xnn_qs8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 9300 | const union xnn_qs8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:91:46: note: previously declared as ‘const union xnn_qs8_mul_minmax_params *’ 91 | const union xnn_qs8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:141:1: note: in expansion of macro ‘DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION’ 141 | DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vmulc_minmax_fp32_ukernel__avx_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 8%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/q8gavgpool/up8x7-sse2.c.o [ 8%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-1x1-acc3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:9427:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 9427 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:552:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 552 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p16c__avx_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/sgemm/6x8-psimd.c:23:9: warning: argument 9 of type ‘const struct pytorch_qnnp_fp32_clamping_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const struct pytorch_qnnp_fp32_clamping_params | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 23 | clamping_params[restrict static 1]) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/sgemm/6x8-psimd.c:11: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/sgemm.h:30:55: note: previously declared as ‘const struct pytorch_qnnp_fp32_clamping_params *’ 30 | const struct pytorch_qnnp_fp32_clamping_params* clamping_params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/sgemm.h:34:1: note: in expansion of macro ‘DECLARE_PYTORCH_SGEMM_UKERNEL_FUNCTION’ 34 | DECLARE_PYTORCH_SGEMM_UKERNEL_FUNCTION(pytorch_sgemm_ukernel_6x8__psimd) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:10526:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 10526 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:543:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 543 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p16c__avx_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:10995:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 10995 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:462:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 462 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__avx_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:11087:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 11087 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:856:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 856 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:11189:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 11189 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:857:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 857 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:11323:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 11323 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:609:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 609 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/q8gavgpool/up8x7-sse2.c:23:50: warning: argument 7 of type ‘const union qnnp_avgpool_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union qnnp_avgpool_quantization_params quantization_params[RESTRICT_STATIC 1]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/q8gavgpool/up8x7-sse2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/q8gavgpool.h:43:53: note: previously declared as ‘const union qnnp_avgpool_quantization_params *’ 43 | const union qnnp_avgpool_quantization_params* quantization_params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/q8gavgpool.h:47:1: note: in expansion of macro ‘DECLARE_Q8UPGAVGPOOL_UKERNEL_FUNCTION’ 47 | DECLARE_Q8UPGAVGPOOL_UKERNEL_FUNCTION(q8gavgpool_ukernel_up8x7__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 8%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/q8gavgpool/up8xm-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:11437:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 11437 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:610:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 610 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling group.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/group.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-1x1-acc3.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-1x1-acc3.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1147:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1147 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__scalar_1x1_acc3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:11575:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 11575 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:48:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 48 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vadd_minmax_ukernel__avx_mul32_ld32_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:11663:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 11663 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:86:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 86 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vaddc_minmax_ukernel__avx_mul32_ld32_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:11741:36: warning: argument 4 of type ‘const union xnn_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 11741 | const union xnn_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:397:39: note: previously declared as ‘const union xnn_qu8_cvt_params *’ 397 | const union xnn_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:415:1: note: in expansion of macro ‘DECLARE_QU8_VCVT_UKERNEL_FUNCTION’ 415 | DECLARE_QU8_VCVT_UKERNEL_FUNCTION(xnn_qu8_vcvt_ukernel__avx_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 8%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/patterns/bn_fusion.cpp.o [ 8%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-1x1-acc4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:11828:38: warning: argument 4 of type ‘const union xnn_qu8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 11828 | const union xnn_qu8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:79:41: note: previously declared as ‘const union xnn_qu8_lrelu_params *’ 79 | const union xnn_qu8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:97:1: note: in expansion of macro ‘DECLARE_QU8_VLRELU_UKERNEL_FUNCTION’ 97 | DECLARE_QU8_VLRELU_UKERNEL_FUNCTION(xnn_qu8_vlrelu_ukernel__avx_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:11929:43: warning: argument 5 of type ‘const union xnn_qu8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 11929 | const union xnn_qu8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:25:46: note: previously declared as ‘const union xnn_qu8_mul_minmax_params *’ 25 | const union xnn_qu8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:46:1: note: in expansion of macro ‘DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION’ 46 | DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vmul_minmax_fp32_ukernel__avx_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 8%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/timestamp.pb.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:12057:43: warning: argument 5 of type ‘const union xnn_qu8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 12057 | const union xnn_qu8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:25:46: note: previously declared as ‘const union xnn_qu8_mul_minmax_params *’ 25 | const union xnn_qu8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:75:1: note: in expansion of macro ‘DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION’ 75 | DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vmulc_minmax_fp32_ukernel__avx_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:12181:42: warning: argument 7 of type ‘const union xnn_x32_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 12181 | const union xnn_x32_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:81:45: note: previously declared as ‘const union xnn_x32_transpose_params *’ 81 | const union xnn_x32_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:132:1: note: in expansion of macro ‘DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION’ 132 | DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x32_transposec_ukernel__8x8_reuse_multi_avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 8%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/q8avgpool/mp8x9p8q-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:12414:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 12414 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:45:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 45 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__avx_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/q8gavgpool/up8xm-sse2.c:23:50: warning: argument 7 of type ‘const union qnnp_avgpool_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union qnnp_avgpool_quantization_params quantization_params[RESTRICT_STATIC 1]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/q8gavgpool/up8xm-sse2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/q8gavgpool.h:43:53: note: previously declared as ‘const union qnnp_avgpool_quantization_params *’ 43 | const union qnnp_avgpool_quantization_params* quantization_params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/q8gavgpool.h:48:1: note: in expansion of macro ‘DECLARE_Q8UPGAVGPOOL_UKERNEL_FUNCTION’ 48 | DECLARE_Q8UPGAVGPOOL_UKERNEL_FUNCTION(q8gavgpool_ukernel_up8xm__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 8%] Generating src/x86_64-fma/2d-fourier-16x16.py.o [ 8%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-1x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8avgpool/mp8x9p8q-sse2.c:26:9: warning: argument 10 of type ‘const union pytorch_qnnp_avgpool_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union pytorch_qnnp_avgpool_quantization_params | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 26 | quantization_params[RESTRICT_STATIC 1]) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8avgpool/mp8x9p8q-sse2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8avgpool.h:33:11: note: previously declared as ‘const union pytorch_qnnp_avgpool_quantization_params *’ 32 | const union pytorch_qnnp_avgpool_quantization_params* \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | quantization_params); | ^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8avgpool.h:36:1: note: in expansion of macro ‘DECLARE_PYTORCH_Q8MPAVGPOOL_UKERNEL_FUNCTION’ 36 | DECLARE_PYTORCH_Q8MPAVGPOOL_UKERNEL_FUNCTION(pytorch_q8avgpool_ukernel_mp8x9p8q__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-1x1-acc4.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-1x1-acc4.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1148:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1148 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__scalar_1x1_acc4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 8%] Building C object confu-deps/XNNPACK/CMakeFiles/operator-utils.dir/src/operator-utils.c.o [ 8%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-2x1-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-1x1.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-1x1.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1145:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1145 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__scalar_1x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-2x1-acc2.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-2x1-acc2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1150:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1150 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__scalar_2x1_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 8%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/cpu_reduction_list.cpp.o [ 8%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-prod.dir/src/amalgam/xop.c.o [ 8%] Building C object confu-deps/XNNPACK/CMakeFiles/operator-run.dir/src/operator-run.c.o [ 8%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-2x1.c.o [ 8%] Built target operator-utils In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/substitute.cc:35: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/substitute.cc: In function ‘void google::protobuf::strings::SubstituteAndAppend(std::string*, const char*, const internal::SubstituteArg&, const internal::SubstituteArg&, const internal::SubstituteArg&, const internal::SubstituteArg&, const internal::SubstituteArg&, const internal::SubstituteArg&, const internal::SubstituteArg&, const internal::SubstituteArg&, const internal::SubstituteArg&, const internal::SubstituteArg&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:183:50: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 183 | #define GOOGLE_DCHECK_EQ(A, B) GOOGLE_DCHECK((A) == (B)) | ~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:151:5: note: in definition of macro ‘GOOGLE_LOG_IF’ 151 | !(CONDITION) ? (void)0 : GOOGLE_LOG(LEVEL) | ^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:181:48: note: in expansion of macro ‘GOOGLE_CHECK’ 181 | #define GOOGLE_DCHECK(EXPRESSION) while(false) GOOGLE_CHECK(EXPRESSION) | ^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:183:32: note: in expansion of macro ‘GOOGLE_DCHECK’ 183 | #define GOOGLE_DCHECK_EQ(A, B) GOOGLE_DCHECK((A) == (B)) | ^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/substitute.cc:133:3: note: in expansion of macro ‘GOOGLE_DCHECK_EQ’ 133 | GOOGLE_DCHECK_EQ(target - output->data(), output->size()); | ^~~~~~~~~~~~~~~~ [ 8%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/q8gemm/2x4c8-sse2.c.o [ 8%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/cpu_resampling_list.cpp.o [ 8%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/q8avgpool/up8x9-sse2.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/brgemm/brgemm_types.hpp:22, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/brgemm/brgemm.hpp:20, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/brgemm/jit_brgemm_amx_uker.cpp:24: In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opRM_RM(const Xbyak::Operand&, const Xbyak::Operand&, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2110:10, inlined from ‘void Xbyak::CodeGenerator::opRM_RM(const Xbyak::Operand&, const Xbyak::Operand&, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2107:7, inlined from ‘void Xbyak::CodeGenerator::add(const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:51:59, inlined from ‘void dnnl::impl::cpu::x64::jit_brgemm_amx_uker_base_t::bf32_downconvert(int, int, reg64_t, int, reg64_t, reg64_t, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/brgemm/jit_brgemm_amx_uker.cpp:1247:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘dnnl::impl::cpu::x64::jit_brgemm_amx_uker_base_t::reg64_t [1]’ {aka ‘const Xbyak::Reg64 [1]’} [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/brgemm/jit_brgemm_amx_uker.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_brgemm_amx_uker_base_t::bf32_downconvert(int, int, reg64_t, int, reg64_t, reg64_t, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/brgemm/jit_brgemm_amx_uker.cpp:1211:17: note: object ‘reg_data_stride’ of size 8 1211 | reg64_t reg_data_stride, reg64_t reg_buf, bool is_rd_tail) { | ~~~~~~~~^~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opModRM(const Xbyak::Operand&, const Xbyak::Operand&, bool, bool, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2095:10, inlined from ‘void Xbyak::CodeGenerator::opModRM(const Xbyak::Operand&, const Xbyak::Operand&, bool, bool, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2090:7, inlined from ‘void Xbyak::CodeGenerator::opRM_RM(const Xbyak::Operand&, const Xbyak::Operand&, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2112:11, inlined from ‘void Xbyak::CodeGenerator::add(const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:51:59, inlined from ‘void dnnl::impl::cpu::x64::jit_brgemm_amx_uker_base_t::bf32_downconvert(int, int, reg64_t, int, reg64_t, reg64_t, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/brgemm/jit_brgemm_amx_uker.cpp:1247:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Reg64 [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/brgemm/jit_brgemm_amx_uker.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_brgemm_amx_uker_base_t::bf32_downconvert(int, int, reg64_t, int, reg64_t, reg64_t, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/brgemm/jit_brgemm_amx_uker.cpp:1230:16: note: object ‘reg_data_aux’ of size 8 1230 | const auto reg_data_aux = reg_tmp_gpr; | ^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-2x1.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-2x1.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1149:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1149 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__scalar_2x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8avgpool/up8x9-sse2.c:25:9: warning: argument 9 of type ‘const union pytorch_qnnp_avgpool_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union pytorch_qnnp_avgpool_quantization_params | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 25 | quantization_params[RESTRICT_STATIC 1]) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8avgpool/up8x9-sse2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8avgpool.h:49:11: note: previously declared as ‘const union pytorch_qnnp_avgpool_quantization_params *’ 48 | const union pytorch_qnnp_avgpool_quantization_params* \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 49 | quantization_params); | ^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8avgpool.h:53:1: note: in expansion of macro ‘DECLARE_PYTORCH_Q8UPAVGPOOL_UKERNEL_FUNCTION’ 53 | DECLARE_PYTORCH_Q8UPAVGPOOL_UKERNEL_FUNCTION(pytorch_q8avgpool_ukernel_up8x9__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 8%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/EmbeddingSpMDM.cc.o [ 8%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/type.pb.cc.o [ 8%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/EmbeddingSpMDMNBit.cc.o [ 8%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-3x1.c.o [ 8%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/q8avgpool/up8xm-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-3x1.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-3x1.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1151:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1151 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__scalar_3x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8avgpool/up8xm-sse2.c:25:9: warning: argument 9 of type ‘const union pytorch_qnnp_avgpool_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union pytorch_qnnp_avgpool_quantization_params | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 25 | quantization_params[RESTRICT_STATIC 1]) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8avgpool/up8xm-sse2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8avgpool.h:49:11: note: previously declared as ‘const union pytorch_qnnp_avgpool_quantization_params *’ 48 | const union pytorch_qnnp_avgpool_quantization_params* \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 49 | quantization_params); | ^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8avgpool.h:54:1: note: in expansion of macro ‘DECLARE_PYTORCH_Q8UPAVGPOOL_UKERNEL_FUNCTION’ 54 | DECLARE_PYTORCH_Q8UPAVGPOOL_UKERNEL_FUNCTION(pytorch_q8avgpool_ukernel_up8xm__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 8%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-4x1.c.o [ 8%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/q8conv/4x4c2-sse2.c.o [ 8%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_avx2.dir/src/EmbeddingSpMDMAvx2.cc.o [ 8%] Linking CXX static library ../../../lib/libgloo.a [ 8%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_avx512.dir/src/FbgemmBfloat16ConvertAvx512.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-4x1.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-4x1.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1152:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1152 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__scalar_4x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 8%] Built target operator-run /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/q8gemm/2x4c8-sse2.c:46:47: warning: argument 9 of type ‘const union qnnp_conv_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 46 | const union qnnp_conv_quantization_params quantization_params[RESTRICT_STATIC 1]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/q8gemm/2x4c8-sse2.c:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/q8gemm.h:31:50: note: previously declared as ‘const union qnnp_conv_quantization_params *’ 31 | const union qnnp_conv_quantization_params* quantization_params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/q8gemm.h:43:1: note: in expansion of macro ‘DECLARE_Q8GEMM_UKERNEL_FUNCTION’ 43 | DECLARE_Q8GEMM_UKERNEL_FUNCTION(q8gemm_ukernel_2x4c8__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 8%] Built target torch_python_stubs [ 8%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/q8dwconv/mp8x25-sse2.c.o [ 8%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/error.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:33:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1058:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1058 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p16c__xop_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:991:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 991 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:949:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 949 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_3p16c__xop_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:1223:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1223 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:981:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 981 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p16c__xop_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 8%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_avx512.dir/src/EmbeddingSpMDMAvx512.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:1653:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1653 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1875:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1875 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:1759:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1759 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1876:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1876 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:1897:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1897 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1544:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1544 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:2015:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2015 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1545:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1545 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:2162:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2162 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:813:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 813 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p16c__xop_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:3115:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3115 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:717:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 717 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p16c__xop_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:3540:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3540 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1425:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1425 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:3645:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3645 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1426:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1426 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:3782:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3782 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1171:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1171 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:3899:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3899 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1172:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1172 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:4040:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4040 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:20: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:148:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 148 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__xop_mul32_ld32_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:4128:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4128 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:203:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 203 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__xop_mul32_ld32_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:4212:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4212 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:621:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 621 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p16c__xop_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:4944:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4944 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:561:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 561 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p16c__xop_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:5276:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5276 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:844:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 844 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:5381:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5381 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:845:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 845 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:5518:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5518 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:597:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 597 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:5635:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5635 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:598:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 598 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:5776:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5776 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:51:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 51 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vadd_minmax_ukernel__xop_mul32_ld32_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 8%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/q8gemm/4x4c2-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:5864:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5864 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:89:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 89 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vaddc_minmax_ukernel__xop_mul32_ld32_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 8%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-5x1.c.o [ 8%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/unknown_field_set.cc.o [ 8%] Built target gloo /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-5x1.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-5x1.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1153:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1153 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__scalar_5x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 8%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/util/delimited_message_util.cc.o [ 8%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/patterns/concat_fusion.cpp.o [ 8%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-6x1.c.o [ 8%] Built target packing /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-6x1.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-6x1.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1154:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1154 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__scalar_6x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 8%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-1x1-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8conv/4x4c2-sse2.c:25:9: warning: argument 10 of type ‘const union pytorch_qnnp_conv_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union pytorch_qnnp_conv_quantization_params | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 25 | quantization_params[RESTRICT_STATIC 1]) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8conv/4x4c2-sse2.c:11: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8conv.h:32:58: note: previously declared as ‘const union pytorch_qnnp_conv_quantization_params *’ 32 | const union pytorch_qnnp_conv_quantization_params* quantization_params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8conv.h:38:1: note: in expansion of macro ‘DECLARE_PYTORCH_Q8CONV_UKERNEL_FUNCTION’ 38 | DECLARE_PYTORCH_Q8CONV_UKERNEL_FUNCTION(pytorch_q8conv_ukernel_4x4c2__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-1x1-acc2.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-1x1-acc2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1235:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1235 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3s2p1__scalar_1x1_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 8%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-1x1-acc3.c.o /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8dwconv/mp8x25-sse2.c:23:9: warning: argument 9 of type ‘const union pytorch_qnnp_conv_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union pytorch_qnnp_conv_quantization_params | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 23 | quantization_params[RESTRICT_STATIC 1]) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8dwconv/mp8x25-sse2.c:11: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8dwconv.h:52:58: note: previously declared as ‘const union pytorch_qnnp_conv_quantization_params *’ 52 | const union pytorch_qnnp_conv_quantization_params* quantization_params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8dwconv.h:57:1: note: in expansion of macro ‘DECLARE_PYTORCH_Q8MPDWCONV_UKERNEL_FUNCTION’ 57 | DECLARE_PYTORCH_Q8MPDWCONV_UKERNEL_FUNCTION(pytorch_q8dwconv_ukernel_mp8x25__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-1x1-acc3.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-1x1-acc3.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1236:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1236 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3s2p1__scalar_1x1_acc3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 8%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/helpers.cc.o [ 8%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-1x1-acc4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-1x1-acc4.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-1x1-acc4.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1237:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1237 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3s2p1__scalar_1x1_acc4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/q8gemm/4x4c2-sse2.c:23:47: warning: argument 9 of type ‘const union qnnp_conv_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union qnnp_conv_quantization_params quantization_params[RESTRICT_STATIC 1]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/q8gemm/4x4c2-sse2.c:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/q8gemm.h:31:50: note: previously declared as ‘const union qnnp_conv_quantization_params *’ 31 | const union qnnp_conv_quantization_params* quantization_params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/q8gemm.h:44:1: note: in expansion of macro ‘DECLARE_Q8GEMM_UKERNEL_FUNCTION’ 44 | DECLARE_Q8GEMM_UKERNEL_FUNCTION(q8gemm_ukernel_4x4c2__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 8%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/bf16/jit_avx512_core_s16_24x8_copy_bt_kern_autogen.cpp.o [ 8%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/q8dwconv/mp8x25-sse2-per-channel.c.o [ 8%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-1x1.c.o [ 8%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/bf16/jit_avx512_core_s16_48x8_copy_an_kern_autogen.cpp.o [ 8%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_avx2.dir/src/FbgemmBfloat16ConvertAvx2.cc.o [ 8%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/bf16/jit_avx512_core_s16_48x8_copy_at_kern_autogen.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-1x1.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-1x1.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1234:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1234 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3s2p1__scalar_1x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 8%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-2x1-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-2x1-acc2.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-2x1-acc2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1239:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1239 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3s2p1__scalar_2x1_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 8%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/q8vadd/sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/unknown_field_set.cc: In member function ‘size_t google::protobuf::UnknownFieldSet::SpaceUsedExcludingSelfLong() const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/unknown_field_set.cc:111:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 111 | for (int i = 0; i < fields_.size(); i++) { | ~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/unknown_field_set.cc: In member function ‘void google::protobuf::UnknownFieldSet::DeleteSubrange(int, int)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/unknown_field_set.cc:187:31: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 187 | for (int i = start + num; i < fields_.size(); ++i) { | ~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/unknown_field_set.cc: In member function ‘void google::protobuf::UnknownFieldSet::DeleteByNumber(int)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/unknown_field_set.cc:198:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 198 | for (int i = 0; i < fields_.size(); ++i) { | ~~^~~~~~~~~~~~~~~~ [ 8%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_avx2.dir/src/FbgemmFloat16ConvertAvx2.cc.o [ 8%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-2x1.c.o [ 8%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/util/field_comparator.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/text_format.cc: In member function ‘google::protobuf::TextFormat::ParseLocation google::protobuf::TextFormat::ParseInfoTree::GetLocation(const google::protobuf::FieldDescriptor*, int) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/text_format.cc:164:37: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 164 | if (locations == nullptr || index >= locations->size()) { | ~~~~~~^~~~~~~~~~~~~~~~~~~~ [ 8%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-3x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/text_format.cc: In member function ‘google::protobuf::TextFormat::ParseInfoTree* google::protobuf::TextFormat::ParseInfoTree::GetTreeForNested(const google::protobuf::FieldDescriptor*, int) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/text_format.cc:179:36: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 179 | if (it == nested_.end() || index >= it->second.size()) { | ~~~~~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-2x1.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-2x1.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1238:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1238 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3s2p1__scalar_2x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 8%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/util/field_mask_util.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/text_format.cc: In member function ‘void google::protobuf::TextFormat::Printer::TextGenerator::Write(const char*, size_t)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/text_format.cc:1303:17: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 1303 | while (size > buffer_size_) { | ~~~~~^~~~~~~~~~~~~~ [ 9%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_avx2.dir/src/FbgemmI8Depthwise3DAvx2.cc.o [ 9%] Building CXX object c10/CMakeFiles/c10.dir/core/WrapDimMinimal.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-3x1.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-3x1.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1240:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1240 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3s2p1__scalar_3x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 9%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/patterns/conv_block_fusion.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/text_format.cc: In member function ‘void google::protobuf::TextFormat::Printer::Print(const google::protobuf::Message&, TextGenerator*) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/text_format.cc:2034:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2034 | for (int i = 0; i < fields.size(); i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/text_format.cc: In member function ‘void google::protobuf::TextFormat::Printer::PrintField(const google::protobuf::Message&, const google::protobuf::Reflection*, const google::protobuf::FieldDescriptor*, TextGenerator*) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/text_format.cc:2294:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2294 | for (int j = 0; j < sorted_map_field.size(); ++j) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ [ 9%] Building CXX object c10/CMakeFiles/c10.dir/core/impl/DeviceGuardImplInterface.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/text_format.cc: In member function ‘void google::protobuf::TextFormat::Printer::PrintFieldValue(const google::protobuf::Message&, const google::protobuf::Reflection*, const google::protobuf::FieldDescriptor*, int, TextGenerator*) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/text_format.cc:2375:46: warning: comparison of integer expressions of different signedness: ‘const google::protobuf::int64’ {aka ‘const long int’} and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2375 | truncate_string_field_longer_than_ < value.size()) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ [ 9%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/util/internal/datapiece.cc.o [ 9%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/util/internal/default_value_objectwriter.cc.o [ 9%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-4x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-4x1.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-4x1.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1241:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1241 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3s2p1__scalar_4x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8dwconv/mp8x25-sse2-per-channel.c:23:9: warning: argument 9 of type ‘const union pytorch_qnnp_conv_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union pytorch_qnnp_conv_quantization_params | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 23 | quantization_params[RESTRICT_STATIC 1]) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8dwconv/mp8x25-sse2-per-channel.c:11: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8dwconv.h:52:58: note: previously declared as ‘const union pytorch_qnnp_conv_quantization_params *’ 52 | const union pytorch_qnnp_conv_quantization_params* quantization_params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8dwconv.h:58:1: note: in expansion of macro ‘DECLARE_PYTORCH_Q8MPDWCONV_UKERNEL_FUNCTION’ 58 | DECLARE_PYTORCH_Q8MPDWCONV_UKERNEL_FUNCTION( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/q8vadd/sse2.c:21:46: warning: argument 5 of type ‘const union qnnp_add_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union qnnp_add_quantization_params quantization_params[RESTRICT_STATIC 1]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/q8vadd/sse2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/q8vadd.h:27:49: note: previously declared as ‘const union qnnp_add_quantization_params *’ 27 | const union qnnp_add_quantization_params* quantization_params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/q8vadd.h:31:1: note: in expansion of macro ‘DECLARE_Q8VADD_UKERNEL_FUNCTION’ 31 | DECLARE_Q8VADD_UKERNEL_FUNCTION(q8vadd_ukernel__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 9%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-1x1-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-1x1-acc2.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-1x1-acc2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1310:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1310 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5p2__scalar_1x1_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 9%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/u8clamp/sse2.c.o [ 9%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-1x1-acc3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/u8clamp/sse2.c:20:41: warning: argument 4 of type ‘const union qnnp_u8_clamping_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union qnnp_u8_clamping_params params[RESTRICT_STATIC 1]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/u8clamp/sse2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/u8clamp.h:26:44: note: previously declared as ‘const union qnnp_u8_clamping_params *’ 26 | const union qnnp_u8_clamping_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/u8clamp.h:29:1: note: in expansion of macro ‘DECLARE_U8CLAMP_UKERNEL_FUNCTION’ 29 | DECLARE_U8CLAMP_UKERNEL_FUNCTION(u8clamp_ukernel__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 9%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/u8maxpool/16x9p8q-sse2.c.o [ 9%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/address.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-1x1-acc3.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-1x1-acc3.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1311:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1311 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5p2__scalar_1x1_acc3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling debug.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/debug.o [ 9%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-1x1-acc4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/u8maxpool/16x9p8q-sse2.c:24:41: warning: argument 8 of type ‘const union qnnp_u8_clamping_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union qnnp_u8_clamping_params params[RESTRICT_STATIC 1]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/u8maxpool/16x9p8q-sse2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/u8maxpool.h:30:44: note: previously declared as ‘const union qnnp_u8_clamping_params *’ 30 | const union qnnp_u8_clamping_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/u8maxpool.h:33:1: note: in expansion of macro ‘DECLARE_U8MAXPOOL_UKERNEL_FUNCTION’ 33 | DECLARE_U8MAXPOOL_UKERNEL_FUNCTION(u8maxpool_ukernel_16x9p8q__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-1x1-acc4.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-1x1-acc4.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1312:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1312 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5p2__scalar_1x1_acc4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 9%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/u8maxpool/sub16-sse2.c.o [ 9%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-1x1-acc5.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/u8maxpool/sub16-sse2.c:24:41: warning: argument 8 of type ‘const union qnnp_u8_clamping_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union qnnp_u8_clamping_params params[RESTRICT_STATIC 1]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/u8maxpool/sub16-sse2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/u8maxpool.h:30:44: note: previously declared as ‘const union qnnp_u8_clamping_params *’ 30 | const union qnnp_u8_clamping_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/u8maxpool.h:35:1: note: in expansion of macro ‘DECLARE_U8MAXPOOL_UKERNEL_FUNCTION’ 35 | DECLARE_U8MAXPOOL_UKERNEL_FUNCTION(u8maxpool_ukernel_sub16__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 9%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-1x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-1x1-acc5.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-1x1-acc5.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1313:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1313 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5p2__scalar_1x1_acc5) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 9%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/u8rmax/sse2.c.o [ 9%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/q8dwconv/mp8x27-sse2.c.o [ 9%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_avx512.dir/src/FbgemmFloat16ConvertAvx512.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-1x1.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-1x1.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1309:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1309 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5p2__scalar_1x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 9%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-2x1-acc2.c.o [ 9%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/x8zip/x2-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-2x1-acc2.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-2x1-acc2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1315:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1315 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5p2__scalar_2x1_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 9%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_avx512.dir/src/FbgemmSparseDenseAvx512.cc.o [ 9%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/x8zip/x3-sse2.c.o [ 9%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/q8dwconv/up8x9-sse2.c.o [ 9%] Building CXX object c10/CMakeFiles/c10.dir/core/impl/GPUTrace.cpp.o [ 9%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_avx2.dir/src/FbgemmI8DepthwiseAvx2.cc.o [ 9%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-2x1-acc3.c.o [ 9%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/x8zip/x4-sse2.c.o [ 9%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-2x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-2x1-acc3.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-2x1-acc3.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1316:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1316 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5p2__scalar_2x1_acc3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 9%] Linking CXX static library ../../../lib/libasmjit.a [ 9%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/x8zip/xm-sse2.c.o [ 9%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/q8dwconv/up8x9-sse2-per-channel.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-2x1.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-2x1.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1314:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1314 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5p2__scalar_2x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/default_value_objectwriter.cc:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/default_value_objectwriter.h: In destructor ‘virtual google::protobuf::util::converter::DefaultValueObjectWriter::Node::~Node()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/default_value_objectwriter.h:156:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 156 | for (int i = 0; i < children_.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/field_mask_util.cc: In static member function ‘static void google::protobuf::util::FieldMaskUtil::FromString(google::protobuf::StringPiece, FieldMask*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/field_mask_util.cc:52:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (int i = 0; i < paths.size(); ++i) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/field_mask_util.cc: In static member function ‘static bool google::protobuf::util::FieldMaskUtil::FromJsonString(google::protobuf::StringPiece, FieldMask*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/field_mask_util.cc:125:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 125 | for (int i = 0; i < paths.size(); ++i) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/field_mask_util.cc: In static member function ‘static bool google::protobuf::util::FieldMaskUtil::GetFieldDescriptors(const google::protobuf::Descriptor*, google::protobuf::StringPiece, std::vector*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/field_mask_util.cc:143:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 143 | for (int i = 0; i < parts.size(); ++i) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/default_value_objectwriter.cc: In member function ‘google::protobuf::util::converter::DefaultValueObjectWriter::Node* google::protobuf::util::converter::DefaultValueObjectWriter::Node::FindChild(google::protobuf::StringPiece)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/default_value_objectwriter.cc:223:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 223 | for (int i = 0; i < children_.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/default_value_objectwriter.cc: In member function ‘void google::protobuf::util::converter::DefaultValueObjectWriter::Node::WriteChildren(google::protobuf::util::converter::ObjectWriter*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/default_value_objectwriter.cc:268:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 268 | for (int i = 0; i < children_.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/default_value_objectwriter.cc: In member function ‘virtual void google::protobuf::util::converter::DefaultValueObjectWriter::Node::PopulateChildren(const google::protobuf::util::converter::TypeInfo*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/default_value_objectwriter.cc:317:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 317 | for (int i = 0; i < children_.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/default_value_objectwriter.cc:394:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 394 | for (int i = 0; i < children_.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/field_mask_util.cc: In member function ‘void google::protobuf::util::{anonymous}::FieldMaskTree::AddPath(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/field_mask_util.cc:332:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 332 | for (int i = 0; i < parts.size(); ++i) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/field_mask_util.cc: In member function ‘void google::protobuf::util::{anonymous}::FieldMaskTree::RemovePath(const std::string&, const google::protobuf::Descriptor*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/field_mask_util.cc:368:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 368 | for (int i = 0; i < parts.size(); ++i) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/field_mask_util.cc:374:12: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 374 | i != parts.size() - 1)) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/field_mask_util.cc: In member function ‘void google::protobuf::util::{anonymous}::FieldMaskTree::IntersectPath(const std::string&, google::protobuf::util::{anonymous}::FieldMaskTree*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/field_mask_util.cc:417:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 417 | for (int i = 0; i < parts.size(); ++i) { | ~~^~~~~~~~~~~~~~ [ 9%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-prod.dir/src/amalgam/fma3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/field_mask_util.cc: In static member function ‘static bool google::protobuf::util::FieldMaskUtil::IsPathInFieldMask(google::protobuf::StringPiece, const FieldMask&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/field_mask_util.cc:674:35: warning: comparison of integer expressions of different signedness: ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} and ‘google::protobuf::stringpiece_ssize_type’ {aka ‘long int’} [-Wsign-compare] 674 | } else if (mask_path.length() < path.length()) { | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ [ 9%] Linking C static library ../../lib/libqnnpack.a /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8dwconv/mp8x27-sse2.c:26:9: warning: argument 11 of type ‘const union pytorch_qnnp_conv_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union pytorch_qnnp_conv_quantization_params | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 26 | quantization_params[RESTRICT_STATIC 1]) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8dwconv/mp8x27-sse2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8dwconv.h:73:58: note: previously declared as ‘const union pytorch_qnnp_conv_quantization_params *’ 73 | const union pytorch_qnnp_conv_quantization_params* quantization_params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8dwconv.h:77:1: note: in expansion of macro ‘DECLARE_PYTORCH_Q8MPDWCONV_3D_UKERNEL_FUNCTION’ 77 | DECLARE_PYTORCH_Q8MPDWCONV_3D_UKERNEL_FUNCTION( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 9%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-prod.dir/src/amalgam/avx2.c.o [ 9%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-3x1-acc2.c.o [ 9%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/allocator.cc.o [ 9%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/q8gavgpool/mp8x7p7q-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8dwconv/up8x9-sse2.c:23:9: warning: argument 8 of type ‘const union pytorch_qnnp_conv_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union pytorch_qnnp_conv_quantization_params | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 23 | quantization_params[RESTRICT_STATIC 1]) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8dwconv/up8x9-sse2.c:11: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8dwconv.h:30:58: note: previously declared as ‘const union pytorch_qnnp_conv_quantization_params *’ 30 | const union pytorch_qnnp_conv_quantization_params* quantization_params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8dwconv.h:38:1: note: in expansion of macro ‘DECLARE_PYTORCH_Q8UPDWCONV_UKERNEL_FUNCTION’ 38 | DECLARE_PYTORCH_Q8UPDWCONV_UKERNEL_FUNCTION(pytorch_q8dwconv_ukernel_up8x9__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-3x1-acc2.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-3x1-acc2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1318:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1318 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5p2__scalar_3x1_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc: In instantiation of ‘google::protobuf::util::StatusOr google::protobuf::util::converter::{anonymous}::ValidateNumberConversion(To, From) [with To = int; From = unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:80:34: required from ‘google::protobuf::util::StatusOr google::protobuf::util::converter::{anonymous}::NumberConvertAndCheck(From) [with To = int; From = unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:341:47: required from ‘google::protobuf::util::StatusOr google::protobuf::util::converter::DataPiece::GenericConvert() const [with To = int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:126:31: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:60:13: warning: comparison of integer expressions of different signedness: ‘int’ and ‘unsigned int’ [-Wsign-compare] 60 | if (after == before && | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:61:36: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘int’ [-Wsign-compare] 61 | MathUtil::Sign(before) == MathUtil::Sign(after)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc: In instantiation of ‘google::protobuf::util::StatusOr google::protobuf::util::converter::{anonymous}::ValidateNumberConversion(To, From) [with To = int; From = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:80:34: required from ‘google::protobuf::util::StatusOr google::protobuf::util::converter::{anonymous}::NumberConvertAndCheck(From) [with To = int; From = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:343:47: required from ‘google::protobuf::util::StatusOr google::protobuf::util::converter::DataPiece::GenericConvert() const [with To = int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:126:31: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:60:13: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 60 | if (after == before && | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:61:36: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘int’ [-Wsign-compare] 61 | MathUtil::Sign(before) == MathUtil::Sign(after)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc: In instantiation of ‘google::protobuf::util::StatusOr google::protobuf::util::converter::{anonymous}::ValidateNumberConversion(To, From) [with To = unsigned int; From = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:80:34: required from ‘google::protobuf::util::StatusOr google::protobuf::util::converter::{anonymous}::NumberConvertAndCheck(From) [with To = unsigned int; From = int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:337:46: required from ‘google::protobuf::util::StatusOr google::protobuf::util::converter::DataPiece::GenericConvert() const [with To = unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:139:32: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:60:13: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘int’ [-Wsign-compare] 60 | if (after == before && | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:61:36: warning: comparison of integer expressions of different signedness: ‘int’ and ‘unsigned int’ [-Wsign-compare] 61 | MathUtil::Sign(before) == MathUtil::Sign(after)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc: In instantiation of ‘google::protobuf::util::StatusOr google::protobuf::util::converter::{anonymous}::ValidateNumberConversion(To, From) [with To = long int; From = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:80:34: required from ‘google::protobuf::util::StatusOr google::protobuf::util::converter::{anonymous}::NumberConvertAndCheck(From) [with To = long int; From = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:343:47: required from ‘google::protobuf::util::StatusOr google::protobuf::util::converter::DataPiece::GenericConvert() const [with To = long int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:151:31: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:60:13: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘long unsigned int’ [-Wsign-compare] 60 | if (after == before && | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:61:36: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘long int’ [-Wsign-compare] 61 | MathUtil::Sign(before) == MathUtil::Sign(after)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc: In instantiation of ‘google::protobuf::util::StatusOr google::protobuf::util::converter::{anonymous}::ValidateNumberConversion(To, From) [with To = long unsigned int; From = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:80:34: required from ‘google::protobuf::util::StatusOr google::protobuf::util::converter::{anonymous}::NumberConvertAndCheck(From) [with To = long unsigned int; From = int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:337:46: required from ‘google::protobuf::util::StatusOr google::protobuf::util::converter::DataPiece::GenericConvert() const [with To = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:164:32: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:60:13: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘int’ [-Wsign-compare] 60 | if (after == before && | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:61:36: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 61 | MathUtil::Sign(before) == MathUtil::Sign(after)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc: In instantiation of ‘google::protobuf::util::StatusOr google::protobuf::util::converter::{anonymous}::ValidateNumberConversion(To, From) [with To = long unsigned int; From = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:80:34: required from ‘google::protobuf::util::StatusOr google::protobuf::util::converter::{anonymous}::NumberConvertAndCheck(From) [with To = long unsigned int; From = long int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:339:46: required from ‘google::protobuf::util::StatusOr google::protobuf::util::converter::DataPiece::GenericConvert() const [with To = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:164:32: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:60:13: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘long int’ [-Wsign-compare] 60 | if (after == before && | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:61:36: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘long unsigned int’ [-Wsign-compare] 61 | MathUtil::Sign(before) == MathUtil::Sign(after)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 9%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/util/internal/error_listener.cc.o /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8gavgpool/mp8x7p7q-sse2.c:24:9: warning: argument 8 of type ‘const union pytorch_qnnp_avgpool_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union pytorch_qnnp_avgpool_quantization_params | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 24 | quantization_params[RESTRICT_STATIC 1]) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8gavgpool/mp8x7p7q-sse2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8gavgpool.h:31:11: note: previously declared as ‘const union pytorch_qnnp_avgpool_quantization_params *’ 30 | const union pytorch_qnnp_avgpool_quantization_params* \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 31 | quantization_params); | ^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8gavgpool.h:34:1: note: in expansion of macro ‘DECLARE_PYTORCH_Q8MPGAVGPOOL_UKERNEL_FUNCTION’ 34 | DECLARE_PYTORCH_Q8MPGAVGPOOL_UKERNEL_FUNCTION(pytorch_q8gavgpool_ukernel_mp8x7p7q__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 9%] Built target qnnpack [ 9%] Building CXX object c10/CMakeFiles/c10.dir/core/impl/HermeticPyObjectTLS.cpp.o [ 9%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/CudaDeviceProperties.cpp.o [ 9%] Built target asmjit [ 9%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/CudaUtil.cpp.o [ 9%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-3x1.c.o [ 9%] Building CXX object c10/CMakeFiles/c10.dir/core/impl/LocalDispatchKeySet.cpp.o [ 9%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/CuptiActivityApi.cpp.o [ 9%] Generating ../../../include/sleef.h /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8dwconv/up8x9-sse2-per-channel.c:23:9: warning: argument 8 of type ‘const union pytorch_qnnp_conv_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union pytorch_qnnp_conv_quantization_params | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 23 | quantization_params[RESTRICT_STATIC 1]) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8dwconv/up8x9-sse2-per-channel.c:11: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8dwconv.h:30:58: note: previously declared as ‘const union pytorch_qnnp_conv_quantization_params *’ 30 | const union pytorch_qnnp_conv_quantization_params* quantization_params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8dwconv.h:39:1: note: in expansion of macro ‘DECLARE_PYTORCH_Q8UPDWCONV_UKERNEL_FUNCTION’ 39 | DECLARE_PYTORCH_Q8UPDWCONV_UKERNEL_FUNCTION( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-3x1.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-3x1.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1317:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1317 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5p2__scalar_3x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 9%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/bf16/jit_avx512_core_s16_48x8_copy_bn_kern_autogen.cpp.o Generating sleef.h: mkrename cinz_ 2 4 __m128d __m128 __m128i __m128i __SSE2__ Generating sleef.h: mkrename cinz_ 2 4 __m128d __m128 __m128i __m128i __SSE2__ sse2 [ 9%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_avx512.dir/src/FbgemmSparseDenseInt8Avx512.cc.o Generating sleef.h: mkrename cinz_ 2 4 __m128d __m128 __m128i __m128i __SSE2__ sse4 Generating sleef.h: mkrename cinz_ 4 8 __m256d __m256 __m128i struct\ {\ __m128i\ x,\ y;\ } __AVX__ Generating sleef.h: mkrename cinz_ 4 8 __m256d __m256 __m128i struct\ {\ __m128i\ x,\ y;\ } __AVX__ avx Generating sleef.h: mkrename finz_ 4 8 __m256d __m256 __m128i struct\ {\ __m128i\ x,\ y;\ } __AVX__ fma4 Generating sleef.h: mkrename finz_ 4 8 __m256d __m256 __m128i __m256i __AVX__ avx2 Generating sleef.h: mkrename finz_ 2 4 __m128d __m128 __m128i __m128i __SSE2__ avx2128 Generating sleef.h: mkrename finz_ 8 16 __m512d __m512 __m256i __m512i __AVX512F__ Generating sleef.h: mkrename finz_ 8 16 __m512d __m512 __m256i __m512i __AVX512F__ avx512f Generating sleef.h: mkrename cinz_ 8 16 __m512d __m512 __m256i __m512i __AVX512F__ avx512fnofma Generating sleef.h: mkrename cinz_ 1 1 double float int32_t int32_t __STDC__ purec Generating sleef.h: mkrename finz_ 1 1 double float int32_t int32_t FP_FAST_FMA purecfma [ 10%] Generating include/renameavx512fnofma.h Generating renameavx512fnofma.h: mkrename cinz_ 8 16 avx512fnofma [ 10%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_avx512.dir/src/FbgemmSparseDenseVectorInt8Avx512.cc.o [ 10%] Generating include/renameavx512f.h Generating renameavx512f.h: mkrename finz_ 8 16 avx512f [ 10%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-1x1-acc2.c.o [ 10%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/cpu_rnn_list.cpp.o [ 10%] Generating include/renameavx2.h Generating renameavx2.h: mkrename finz_ 4 8 avx2 [ 11%] Generating include/renameavx2128.h /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:37:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 37 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:76:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 76 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:101:1: note: in expansion of macro ‘DECLARE_F16_GEMM_MINMAX_UKERNEL_FUNCTION’ 101 | DECLARE_F16_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f16_gemm_minmax_ukernel_1x16__avx2_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:129:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 129 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:76:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 76 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:104:1: note: in expansion of macro ‘DECLARE_F16_GEMM_MINMAX_UKERNEL_FUNCTION’ 104 | DECLARE_F16_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f16_gemm_minmax_ukernel_4x16__avx2_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:316:39: warning: argument 12 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 316 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:392:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 392 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:413:1: note: in expansion of macro ‘DECLARE_F16_IGEMM_MINMAX_UKERNEL_FUNCTION’ 413 | DECLARE_F16_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f16_igemm_minmax_ukernel_1x16__avx2_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Generating renameavx2128.h: mkrename finz_ 2 4 avx2128 /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:422:39: warning: argument 12 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 422 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:392:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 392 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:416:1: note: in expansion of macro ‘DECLARE_F16_IGEMM_MINMAX_UKERNEL_FUNCTION’ 416 | DECLARE_F16_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f16_igemm_minmax_ukernel_4x16__avx2_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:627:39: warning: argument 12 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 627 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/pavgpool.h:32:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 32 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/pavgpool.h:34:1: note: in expansion of macro ‘DECLARE_F16_PAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 34 | DECLARE_F16_PAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_f16_pavgpool_minmax_ukernel_9p8x__avx2_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:960:39: warning: argument 11 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 960 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/pavgpool.h:50:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 50 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/pavgpool.h:52:1: note: in expansion of macro ‘DECLARE_F16_PAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 52 | DECLARE_F16_PAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_pavgpool_minmax_ukernel_9x__avx2_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:1135:41: warning: argument 6 of type ‘const union xnn_f16_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1135 | const union xnn_f16_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:25:44: note: previously declared as ‘const union xnn_f16_expminus_params *’ 25 | const union xnn_f16_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:30:1: note: in expansion of macro ‘DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 30 | DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f16_raddstoreexpminusmax_ukernel__avx2_rr1_p2_x40) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:1309:36: warning: argument 4 of type ‘const union xnn_f16_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1309 | const union xnn_f16_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:24: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:52:39: note: previously declared as ‘const union xnn_f16_elu_params *’ 52 | const union xnn_f16_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:58:1: note: in expansion of macro ‘DECLARE_F16_VELU_UKERNEL_FUNCTION’ 58 | DECLARE_F16_VELU_UKERNEL_FUNCTION(xnn_f16_velu_ukernel__avx2_rr1_p3_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:1438:40: warning: argument 4 of type ‘const union xnn_f16_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1438 | const union xnn_f16_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:123:43: note: previously declared as ‘const union xnn_f16_sigmoid_params *’ 123 | const union xnn_f16_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:137:1: note: in expansion of macro ‘DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION’ 137 | DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION(xnn_f16_vsigmoid_ukernel__avx2_rr1_p2_rcp_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:1605:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1605 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:22: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:193:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 193 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__avx2_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:1731:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1731 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:261:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 261 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__avx2_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:1857:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1857 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:352:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 352 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut4_p4_perm_x56) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 11%] Generating include/renamefma4.h Generating renamefma4.h: mkrename finz_ 4 8 fma4 /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:2096:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2096 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:959:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 959 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_div_x40) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:2305:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2305 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1082:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1082 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p16c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 11%] Generating include/renameavx.h /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:2911:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2911 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Generating renameavx.h: mkrename cinz_ 4 8 avx /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:948:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 948 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_3p16c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 11%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/q8gavgpool/up8x7-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-1x1-acc2.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-1x1-acc2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1406:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1406 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5s2p2__scalar_1x1_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:3077:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3077 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1005:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1005 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p16c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:3363:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3363 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1895:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1895 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:3495:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3495 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1897:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1897 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:3697:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3697 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1564:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1564 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 11%] Generating include/renamesse4.h /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:3842:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3842 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1566:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1566 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:4055:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4055 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:837:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 837 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p16c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Generating renamesse4.h: mkrename cinz_ 2 4 sse4 /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:4658:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4658 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:741:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 741 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p16c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:4935:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4935 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:372:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 372 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__avx2_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:5010:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5010 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1509:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1509 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:5141:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5141 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1511:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1511 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/fma3.c:31:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/fma3.c:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:496:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 496 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_25p8c__fma3_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:5342:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5342 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1195:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1195 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 11%] Generating include/renamesse2.h /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/fma3.c:503:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 503 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:479:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 479 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_3p16c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:5486:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5486 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1197:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1197 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/fma3.c:662:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 662 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:485:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 485 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_4p16c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:5693:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5693 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:21: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:154:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 154 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__avx2_mul32_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Generating renamesse2.h: mkrename cinz_ 2 4 sse2 /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:5784:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5784 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:209:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 209 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__avx2_mul32_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/fma3.c:846:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 846 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:491:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 491 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_9p16c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:5865:36: warning: argument 4 of type ‘const union xnn_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5865 | const union xnn_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:304:39: note: previously declared as ‘const union xnn_qs8_cvt_params *’ 304 | const union xnn_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:325:1: note: in expansion of macro ‘DECLARE_QS8_VCVT_UKERNEL_FUNCTION’ 325 | DECLARE_QS8_VCVT_UKERNEL_FUNCTION(xnn_qs8_vcvt_ukernel__avx2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:5949:38: warning: argument 4 of type ‘const union xnn_qs8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5949 | const union xnn_qs8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:23: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:24:41: note: previously declared as ‘const union xnn_qs8_lrelu_params *’ 24 | const union xnn_qs8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:45:1: note: in expansion of macro ‘DECLARE_QS8_VLRELU_UKERNEL_FUNCTION’ 45 | DECLARE_QS8_VLRELU_UKERNEL_FUNCTION(xnn_qs8_vlrelu_ukernel__avx2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/fma3.c:1242:39: warning: argument 8 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1242 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/fma3.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmulcaddc.h:68:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 68 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmulcaddc.h:73:1: note: in expansion of macro ‘DECLARE_F16_VMULCADDC_MINMAX_UKERNEL_FUNCTION’ 73 | DECLARE_F16_VMULCADDC_MINMAX_UKERNEL_FUNCTION(xnn_f16_vmulcaddc_minmax_ukernel_c8__fma3_2x) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:6048:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 6048 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:624:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 624 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p16c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/fma3.c:1359:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1359 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:254:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 254 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_25p8c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/fma3.c:1801:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1801 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:177:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 177 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_3p16c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/fma3.c:1956:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1956 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:206:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 206 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_4p16c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:6652:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 6652 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:564:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 564 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p16c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 11%] Generating include/renamepurec_scalar.h Generating renamepurec_scalar.h: mkrename cinz_ 1 1 purec /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:6930:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 6930 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:465:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 465 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__avx2_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:7005:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7005 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:864:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 864 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/fma3.c:2135:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2135 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:237:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 237 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_9p16c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:7137:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7137 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:866:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 866 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/fma3.c:2434:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2434 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/fma3.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:262:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 262 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_1x16__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/fma3.c:2526:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2526 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:272:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 272 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_1x16s4__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/fma3.c:2683:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2683 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:274:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 274 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_4x16s4__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:7339:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7339 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:617:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 617 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:7484:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7484 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:619:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 619 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/fma3.c:2999:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2999 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:267:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 267 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_5x16__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 11%] Generating include/renamepurecfma_scalar.h [ 11%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/cpu_shuffle_list.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:7692:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7692 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:55:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 55 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vadd_minmax_ukernel__avx2_mul32_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/fma3.c:3217:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3217 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/fma3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:176:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 176 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_1x16__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/fma3.c:3322:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3322 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:186:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 186 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_1x16s4__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Generating renamepurecfma_scalar.h: mkrename finz_ 1 1 purecfma /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:7783:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7783 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:93:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 93 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vaddc_minmax_ukernel__avx2_mul32_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/fma3.c:3493:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3493 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:188:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 188 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_4x16s4__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:7864:36: warning: argument 4 of type ‘const union xnn_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7864 | const union xnn_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:397:39: note: previously declared as ‘const union xnn_qu8_cvt_params *’ 397 | const union xnn_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:418:1: note: in expansion of macro ‘DECLARE_QU8_VCVT_UKERNEL_FUNCTION’ 418 | DECLARE_QU8_VCVT_UKERNEL_FUNCTION(xnn_qu8_vcvt_ukernel__avx2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:7948:38: warning: argument 4 of type ‘const union xnn_qu8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7948 | const union xnn_qu8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/fma3.c:3829:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3829 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:181:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 181 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_5x16__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 11%] Generating include/renamecuda.h /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:79:41: note: previously declared as ‘const union xnn_qu8_lrelu_params *’ 79 | const union xnn_qu8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:100:1: note: in expansion of macro ‘DECLARE_QU8_VLRELU_UKERNEL_FUNCTION’ 100 | DECLARE_QU8_VLRELU_UKERNEL_FUNCTION(xnn_qu8_vlrelu_ukernel__avx2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/fma3.c:4058:39: warning: argument 4 of type ‘const union xnn_f32_hswish_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4058 | const union xnn_f32_hswish_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/fma3.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:498:42: note: previously declared as ‘const union xnn_f32_hswish_params *’ 498 | const union xnn_f32_hswish_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:511:1: note: in expansion of macro ‘DECLARE_F32_VHSWISH_UKERNEL_FUNCTION’ 511 | DECLARE_F32_VHSWISH_UKERNEL_FUNCTION(xnn_f32_vhswish_ukernel__fma3_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:8044:42: warning: argument 7 of type ‘const union xnn_x16_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 8044 | const union xnn_x16_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:19: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:165:45: note: previously declared as ‘const union xnn_x16_transpose_params *’ 165 | const union xnn_x16_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:202:1: note: in expansion of macro ‘DECLARE_X16_TRANSPOSEC_UKERNEL_FUNCTION’ 202 | DECLARE_X16_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x16_transposec_ukernel__16x16_reuse_switch_avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:8656:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 8656 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:50:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 50 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__avx2_x128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Generating renamecuda.h: mkrename finz_ 1 1 cuda /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:8944:41: warning: argument 7 of type ‘const union xnn_x8_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 8944 | const union xnn_x8_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:212:44: note: previously declared as ‘const union xnn_x8_transpose_params *’ 212 | const union xnn_x8_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:237:1: note: in expansion of macro ‘DECLARE_X8_TRANSPOSEC_UKERNEL_FUNCTION’ 237 | DECLARE_X8_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x8_transposec_ukernel__32x32_reuse_switch_avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8gavgpool/up8x7-sse2.c:23:9: warning: argument 7 of type ‘const union pytorch_qnnp_avgpool_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union pytorch_qnnp_avgpool_quantization_params | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 23 | quantization_params[RESTRICT_STATIC 1]) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8gavgpool/up8x7-sse2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8gavgpool.h:45:11: note: previously declared as ‘const union pytorch_qnnp_avgpool_quantization_params *’ 44 | const union pytorch_qnnp_avgpool_quantization_params* \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 45 | quantization_params); | ^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8gavgpool.h:49:1: note: in expansion of macro ‘DECLARE_PYTORCH_Q8UPGAVGPOOL_UKERNEL_FUNCTION’ 49 | DECLARE_PYTORCH_Q8UPGAVGPOOL_UKERNEL_FUNCTION(pytorch_q8gavgpool_ukernel_up8x7__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 11%] Built target headers [ 11%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-1x1-acc3.c.o [ 11%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-1x1-acc4.c.o [ 11%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-prod.dir/src/amalgam/avx512f.c.o [ 11%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/q8gavgpool/up8xm-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-1x1-acc3.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-1x1-acc3.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1407:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1407 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5s2p2__scalar_1x1_acc3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8gavgpool/up8xm-sse2.c:23:9: warning: argument 7 of type ‘const union pytorch_qnnp_avgpool_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union pytorch_qnnp_avgpool_quantization_params | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 23 | quantization_params[RESTRICT_STATIC 1]) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8gavgpool/up8xm-sse2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8gavgpool.h:45:11: note: previously declared as ‘const union pytorch_qnnp_avgpool_quantization_params *’ 44 | const union pytorch_qnnp_avgpool_quantization_params* \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 45 | quantization_params); | ^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8gavgpool.h:50:1: note: in expansion of macro ‘DECLARE_PYTORCH_Q8UPGAVGPOOL_UKERNEL_FUNCTION’ 50 | DECLARE_PYTORCH_Q8UPGAVGPOOL_UKERNEL_FUNCTION(pytorch_q8gavgpool_ukernel_up8xm__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-1x1-acc4.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-1x1-acc4.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1408:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1408 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5s2p2__scalar_1x1_acc4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 11%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-prod.dir/src/amalgam/avx512skx.c.o [ 11%] Built target renameAVX512FNOFMA.h_generated [ 11%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/CuptiActivityPlatform.cpp.o [ 11%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-prod.dir/src/amalgam/avx512vbmi.c.o [ 11%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/bf16/jit_avx512_core_s16_48x8_copy_bt_kern_autogen.cpp.o [ 11%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/q8gemm/2x4c8-sse2.c.o [ 11%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/util/internal/field_mask_utility.cc.o [ 11%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-1x1-acc5.c.o Compiling misc/cudawrap.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/misc/cudawrap.o [ 11%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/CuptiCallbackApi.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-1x1-acc5.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-1x1-acc5.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1409:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1409 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5s2p2__scalar_1x1_acc5) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 11%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-1x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-1x1.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-1x1.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1405:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1405 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5s2p2__scalar_1x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 11%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_avx2_f32_copy_an_kern_autogen.cpp.o [ 11%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-2x1-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:25:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:72:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 72 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__avx512skx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:58:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 58 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:134:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 134 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__avx512skx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:91:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 91 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:198:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 198 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__avx512skx_x128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:209:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 209 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:266:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 266 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__avx512skx_x128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:333:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 333 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_DISABLE_MSAN | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1087:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1087 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p32c__avx512skx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:939:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 939 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_DISABLE_MSAN | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:950:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 950 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_3p32c__avx512skx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:1105:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1105 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_DISABLE_MSAN | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1010:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1010 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p32c__avx512skx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:1391:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1391 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1903:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1903 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:1490:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1490 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1906:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1906 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_4x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:1677:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1677 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1568:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1568 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:1787:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1787 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1571:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1571 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_4x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:31:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:264:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 264 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_25p16c__avx512f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:1984:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1984 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_DISABLE_MSAN | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:842:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 842 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p32c__avx512skx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512vbmi.c:19:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 19 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512vbmi.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:58:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 58 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__avx512vbmi_vpermx2b_x128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:461:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 461 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:175:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 175 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_3p16c__avx512f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:561:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 561 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:204:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 204 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_4p16c__avx512f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:676:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 676 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:235:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 235 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_9p16c__avx512f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:2587:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2587 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_DISABLE_MSAN | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:866:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 866 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:746:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 746 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p32c__avx512skx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:277:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 277 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_1x16__avx512f_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:933:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 933 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:281:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 281 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_7x16__avx512f_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:1098:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1098 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:191:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 191 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_1x16__avx512f_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:2864:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2864 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:1179:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1179 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:377:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 377 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__avx512skx_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:195:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 195 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_7x16__avx512f_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:2929:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2929 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1517:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1517 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:1441:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1441 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:331:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 331 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vadd_minmax_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:3026:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3026 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1520:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1520 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_4x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:1505:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1505 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:533:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 533 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vaddc_minmax_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:1567:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1567 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:354:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 354 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vdiv_minmax_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/CudaDeviceProperties.cpp: In function ‘const std::vector libkineto::createDeviceProps()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/CudaDeviceProperties.cpp:31:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 31 | for (size_t i = 0; i < device_count; ++i) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:1631:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1631 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:556:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 556 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vdivc_minmax_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:1693:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1693 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:189:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 189 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmax_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:1746:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1746 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:471:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 471 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmaxc_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:1797:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1797 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:212:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 212 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmin_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:1850:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1850 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:494:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 494 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vminc_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:1901:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1901 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:377:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 377 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmul_minmax_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:1965:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1965 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:602:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 602 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmulc_minmax_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:2027:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2027 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:579:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 579 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vrdivc_minmax_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:2089:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2089 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:648:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 648 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vrsubc_minmax_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:2151:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2151 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:235:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 235 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsqrdiff_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:3211:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3211 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1199:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1199 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:2208:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2208 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:517:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 517 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsqrdiffc_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:2263:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2263 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:400:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 400 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vsub_minmax_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:3319:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3319 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1202:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1202 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_4x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-2x1-acc2.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-2x1-acc2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1411:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1411 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5s2p2__scalar_2x1_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:2327:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2327 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:625:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 625 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vsubc_minmax_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:2388:39: warning: argument 4 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2388 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:240:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 240 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:244:1: note: in expansion of macro ‘DECLARE_F32_VCLAMP_UKERNEL_FUNCTION’ 244 | DECLARE_F32_VCLAMP_UKERNEL_FUNCTION(xnn_f32_vclamp_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:2427:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2427 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:393:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 393 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx512f_rr1_lut16_p3_perm_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:3509:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3509 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:158:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 158 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__avx512skx_mul32_ld128_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:2596:39: warning: argument 4 of type ‘const union xnn_f32_hswish_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2596 | const union xnn_f32_hswish_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:498:42: note: previously declared as ‘const union xnn_f32_hswish_params *’ 498 | const union xnn_f32_hswish_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:513:1: note: in expansion of macro ‘DECLARE_F32_VHSWISH_UKERNEL_FUNCTION’ 513 | DECLARE_F32_VHSWISH_UKERNEL_FUNCTION(xnn_f32_vhswish_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:3575:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3575 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:213:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 213 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__avx512skx_mul32_ld128_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:3640:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3640 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_DISABLE_MSAN | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:628:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 628 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p32c__avx512skx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:2638:38: warning: argument 4 of type ‘const union xnn_f32_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2638 | const union xnn_f32_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:548:41: note: previously declared as ‘const union xnn_f32_lrelu_params *’ 548 | const union xnn_f32_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:566:1: note: in expansion of macro ‘DECLARE_F32_VLRELU_UKERNEL_FUNCTION’ 566 | DECLARE_F32_VLRELU_UKERNEL_FUNCTION(xnn_f32_vlrelu_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:2677:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2677 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:712:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 712 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndd_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:2710:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2710 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:658:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 658 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndne_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:2743:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2743 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:694:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 694 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndu_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:2776:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2776 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:676:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 676 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndz_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:2809:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2809 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1027:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1027 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr2_lut32_p2_perm2_scalef_div_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:4244:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4244 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_DISABLE_MSAN | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:2969:36: warning: argument 4 of type ‘const union xnn_f32_abs_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2969 | const union xnn_f32_abs_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:568:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 568 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p32c__avx512skx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:213:39: note: previously declared as ‘const union xnn_f32_abs_params *’ 213 | const union xnn_f32_abs_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:224:1: note: in expansion of macro ‘DECLARE_F32_VABS_UKERNEL_FUNCTION’ 224 | DECLARE_F32_VABS_UKERNEL_FUNCTION(xnn_f32_vabs_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:3003:36: warning: argument 4 of type ‘const union xnn_f32_neg_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3003 | const union xnn_f32_neg_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:595:39: note: previously declared as ‘const union xnn_f32_neg_params *’ 595 | const union xnn_f32_neg_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:607:1: note: in expansion of macro ‘DECLARE_F32_VNEG_UKERNEL_FUNCTION’ 607 | DECLARE_F32_VNEG_UKERNEL_FUNCTION(xnn_f32_vneg_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:3037:40: warning: argument 4 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3037 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1102:43: note: previously declared as ‘const union xnn_f32_default_params *’ 1102 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1113:1: note: in expansion of macro ‘DECLARE_F32_VSQR_UKERNEL_FUNCTION’ 1113 | DECLARE_F32_VSQR_UKERNEL_FUNCTION(xnn_f32_vsqr_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:4522:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4522 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:470:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 470 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__avx512skx_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:4587:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4587 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:868:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 868 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:4685:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4685 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:871:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 871 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_4x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:4871:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4871 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:621:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 621 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:4980:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4980 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:624:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 624 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_4x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling net.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/net.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:5171:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5171 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:57:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 57 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vadd_minmax_ukernel__avx512skx_mul32_ld128_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:5237:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5237 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:95:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 95 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vaddc_minmax_ukernel__avx512skx_mul32_ld128_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:5296:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 5296 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:52:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 52 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__avx512skx_vpshufb_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8gemm/2x4c8-sse2.c:52:9: warning: argument 10 of type ‘const union pytorch_qnnp_conv_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 51 | const union pytorch_qnnp_conv_quantization_params | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 52 | quantization_params[RESTRICT_STATIC 1]) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8gemm/2x4c8-sse2.c:11: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8gemm.h:32:58: note: previously declared as ‘const union pytorch_qnnp_conv_quantization_params *’ 32 | const union pytorch_qnnp_conv_quantization_params* quantization_params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8gemm.h:44:1: note: in expansion of macro ‘DECLARE_PYTORCH_Q8GEMM_UKERNEL_FUNCTION’ 44 | DECLARE_PYTORCH_Q8GEMM_UKERNEL_FUNCTION(pytorch_q8gemm_ukernel_2x4c8__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 11%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-2x1-acc3.c.o [ 11%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-prod.dir/src/tables/exp2-k-over-64.c.o [ 11%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/error.cc.o [ 11%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-prod.dir/src/tables/exp2-k-over-2048.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-2x1-acc3.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-2x1-acc3.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1412:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1412 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5s2p2__scalar_2x1_acc3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 11%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_avx2_f32_copy_at_kern_autogen.cpp.o [ 11%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-2x1.c.o [ 11%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/q8gemm/4x4c2-dq-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-2x1.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-2x1.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1410:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1410 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5s2p2__scalar_2x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/CuptiActivityApi.cpp: In member function ‘void libkineto::CuptiActivityApi::bufferRequested(uint8_t**, size_t*, size_t*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/CuptiActivityApi.cpp:132:40: warning: comparison of integer expressions of different signedness: ‘std::map >::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 132 | if (allocatedGpuTraceBuffers_.size() >= maxGpuBufferCount_) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ [ 11%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-3x1-acc2.c.o [ 11%] Building CXX object c10/CMakeFiles/c10.dir/core/impl/PyInterpreter.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-3x1-acc2.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-3x1-acc2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1414:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1414 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5s2p2__scalar_3x1_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 11%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-3x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-3x1.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-3x1.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1413:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1413 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5s2p2__scalar_3x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 11%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p1c-minmax-scalar-acc2.c.o [ 11%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/util/internal/json_escaping.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p1c-minmax-scalar-acc2.c:26:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p1c-minmax-scalar-acc2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:391:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 391 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_3p1c__scalar_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 11%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p1c-minmax-scalar.c.o [ 11%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p1c-scalar-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8gemm/4x4c2-dq-sse2.c:26:9: warning: argument 11 of type ‘const struct pytorch_qnnp_conv_dynamic_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const struct pytorch_qnnp_conv_dynamic_quantization_params | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 26 | quantization_params[RESTRICT_STATIC 1]) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8gemm/4x4c2-dq-sse2.c:11: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8gemm.h:59:67: note: previously declared as ‘const struct pytorch_qnnp_conv_dynamic_quantization_params *’ 59 | const struct pytorch_qnnp_conv_dynamic_quantization_params* quantization_params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8gemm.h:64:1: note: in expansion of macro ‘DECLARE_PYTORCH_Q8GEMM_DYNAMIC_QUANTIZATION_UKERNEL_FUNCTION’ 64 | DECLARE_PYTORCH_Q8GEMM_DYNAMIC_QUANTIZATION_UKERNEL_FUNCTION(pytorch_q8gemm_dq_ukernel_4x4c2__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/field_mask_utility.cc: In function ‘std::string google::protobuf::util::converter::ConvertFieldMaskPath(google::protobuf::StringPiece, ConverterCallback)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/field_mask_utility.cc:76:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘google::protobuf::stringpiece_ssize_type’ {aka ‘long int’} [-Wsign-compare] 76 | for (size_t i = 0; i <= path.size(); ++i) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/field_mask_utility.cc:79:13: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘google::protobuf::stringpiece_ssize_type’ {aka ‘long int’} [-Wsign-compare] 79 | if (i == path.size()) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/field_mask_utility.cc:93:11: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘google::protobuf::stringpiece_ssize_type’ {aka ‘long int’} [-Wsign-compare] 93 | if (i == path.size() || path[i] == '.' || path[i] == '(' || | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/field_mask_utility.cc:97:13: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘google::protobuf::stringpiece_ssize_type’ {aka ‘long int’} [-Wsign-compare] 97 | if (i < path.size()) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/field_mask_utility.cc:102:11: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘google::protobuf::stringpiece_ssize_type’ {aka ‘long int’} [-Wsign-compare] 102 | if (i < path.size() && path[i] == '\"') { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p1c-minmax-scalar.c:26:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p1c-minmax-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:390:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 390 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_3p1c__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p1c-scalar-acc2.c:26:40: warning: argument 10 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p1c-scalar-acc2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:33:41: note: previously declared as ‘const union xnn_f32_default_params *’ 33 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:386:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION’ 386 | DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_ukernel_3p1c__scalar_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 11%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p1c-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p1c-scalar.c:26:40: warning: argument 10 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p1c-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:33:41: note: previously declared as ‘const union xnn_f32_default_params *’ 33 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:385:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION’ 385 | DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_ukernel_3p1c__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 12%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-prod.dir/src/tables/exp2minus-k-over-4.c.o [ 12%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-prod.dir/src/tables/exp2minus-k-over-8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/CuptiCallbackApi.cpp: In member function ‘void libkineto::CuptiCallbackApi::__callback_switchboard(CUpti_CallbackDomain, CUpti_CallbackId, const CUpti_CallbackData*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/CuptiCallbackApi.cpp:148:34: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 148 | it != cblist->end() && i < MAX_CB_FNS_PER_CB; | ~~^~~~~~~~~~~~~~~~~~~ [ 12%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p2c-minmax-scalar-acc2.c.o [ 12%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/q8gemm/4x4c2-sse2.c.o [ 12%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-prod.dir/src/tables/exp2minus-k-over-16.c.o [ 12%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-prod.dir/src/tables/exp2minus-k-over-64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p2c-minmax-scalar-acc2.c:26:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p2c-minmax-scalar-acc2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:393:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 393 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_3p2c__scalar_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 12%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-prod.dir/src/tables/exp2minus-k-over-2048.c.o [ 12%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p2c-minmax-scalar.c.o [ 12%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/patterns/conv_post_ops_fusion.cpp.o [ 12%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/fd.cc.o [ 12%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-prod.dir/src/tables/vlog.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p2c-minmax-scalar.c:26:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p2c-minmax-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:392:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 392 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_3p2c__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 12%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/util/internal/json_objectwriter.cc.o [ 12%] Generating alias_avx512f.h [ 12%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/socket.cc.o [ 12%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p2c-scalar-acc2.c.o [ 12%] Built target alias_avx512f.h_generated [ 12%] Built target renameAVX512F.h_generated [ 12%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_avx512.dir/src/QuantUtilsAvx512.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p2c-scalar-acc2.c:26:40: warning: argument 10 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p2c-scalar-acc2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:33:41: note: previously declared as ‘const union xnn_f32_default_params *’ 33 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:388:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION’ 388 | DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_ukernel_3p2c__scalar_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 12%] Built target renameAVX2.h_generated [ 12%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_avx2.dir/src/FbgemmI8DepthwisePerChannelQuantAvx2.cc.o [ 12%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_avx2.dir/src/FbgemmSparseDenseAvx2.cc.o [ 12%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p2c-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/json_escaping.cc: In static member function ‘static void google::protobuf::util::converter::JsonEscaping::Escape(google::protobuf::StringPiece, google::protobuf::strings::ByteSink*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/json_escaping.cc:349:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 349 | for (int i = 0; i < len; i++) { | ~~^~~~~ [ 12%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/system.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p2c-scalar.c:26:40: warning: argument 10 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p2c-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:33:41: note: previously declared as ‘const union xnn_f32_default_params *’ 33 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:387:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION’ 387 | DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_ukernel_3p2c__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 12%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_avx512.dir/src/UtilsAvx512.cc.o [ 12%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p1c-minmax-scalar-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p1c-minmax-scalar-acc2.c:26:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p1c-minmax-scalar-acc2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:401:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 401 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_4p1c__scalar_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8gemm/4x4c2-sse2.c:25:9: warning: argument 10 of type ‘const union pytorch_qnnp_conv_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union pytorch_qnnp_conv_quantization_params | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 25 | quantization_params[RESTRICT_STATIC 1]) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8gemm/4x4c2-sse2.c:11: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8gemm.h:32:58: note: previously declared as ‘const union pytorch_qnnp_conv_quantization_params *’ 32 | const union pytorch_qnnp_conv_quantization_params* quantization_params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8gemm.h:45:1: note: in expansion of macro ‘DECLARE_PYTORCH_Q8GEMM_UKERNEL_FUNCTION’ 45 | DECLARE_PYTORCH_Q8GEMM_UKERNEL_FUNCTION(pytorch_q8gemm_ukernel_4x4c2__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 12%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/util/internal/json_stream_parser.cc.o [ 12%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p1c-minmax-scalar.c.o [ 12%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/util/internal/object_writer.cc.o [ 12%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/util/internal/proto_writer.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p1c-minmax-scalar.c:26:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p1c-minmax-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:400:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 400 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_4p1c__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 12%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/util/internal/protostream_objectsource.cc.o [ 12%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p1c-scalar-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/fd.cc: In member function ‘tensorpipe::Error tensorpipe::Fd::readFull(void*, size_t)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/fd.cc:50:10: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 50 | if (rv != count) { | ~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/fd.cc: In member function ‘tensorpipe::Error tensorpipe::Fd::writeFull(const void*, size_t)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/fd.cc:62:10: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 62 | if (rv != count) { | ~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p1c-scalar-acc2.c:26:40: warning: argument 10 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p1c-scalar-acc2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:33:41: note: previously declared as ‘const union xnn_f32_default_params *’ 33 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:396:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION’ 396 | DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_ukernel_4p1c__scalar_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 12%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/q8gemm_sparse/8x4c1x4-dq-packedA-sse2.c.o [ 12%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p1c-scalar.c.o [ 12%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_avx2_f32_copy_bn_kern_autogen.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p1c-scalar.c:26:40: warning: argument 10 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p1c-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:33:41: note: previously declared as ‘const union xnn_f32_default_params *’ 33 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:395:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION’ 395 | DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_ukernel_4p1c__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 12%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p2c-minmax-scalar-acc2.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)’ defined but not used [-Wunused-function] 48 | void loadOneFdFromArray(int& src, Fd& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)’ defined but not used [-Wunused-function] 27 | void saveOneFdToArray(int& dst, const int& src) { | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p2c-minmax-scalar-acc2.c:26:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p2c-minmax-scalar-acc2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:403:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 403 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_4p2c__scalar_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 12%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p2c-minmax-scalar.c.o [ 12%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/context.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p2c-minmax-scalar.c:26:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p2c-minmax-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:402:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 402 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_4p2c__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8gemm_sparse/8x4c1x4-dq-packedA-sse2.c:3: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8gemm_sparse/8x4c1x4-dq-packedA-sse2.h:44:9: warning: argument 11 of type ‘const struct pytorch_qnnp_conv_dynamic_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 43 | const struct pytorch_qnnp_conv_dynamic_quantization_params | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 44 | quantization_params[RESTRICT_STATIC 1]) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8gemm_sparse/8x4c1x4-dq-packedA-sse2.h:11: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8gemm_sparse.h:78:11: note: previously declared as ‘const struct pytorch_qnnp_conv_dynamic_quantization_params *’ 77 | const struct pytorch_qnnp_conv_dynamic_quantization_params* \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 78 | quantization_params); | ^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8gemm_sparse.h:121:1: note: in expansion of macro ‘DECLARE_PYTORCH_Q8GEMM_DYNAMIC_QUANTIZATION_SPARSE_PACKEDA_UKERNEL_FUNCTION’ 121 | DECLARE_PYTORCH_Q8GEMM_DYNAMIC_QUANTIZATION_SPARSE_PACKEDA_UKERNEL_FUNCTION( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8gemm_sparse/8x4c1x4-dq-packedA-sse2.c:9: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8gemm_sparse/8x4c1x4-dq-packedA-sse2.h:44:9: warning: argument 11 of type ‘const struct pytorch_qnnp_conv_dynamic_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 43 | const struct pytorch_qnnp_conv_dynamic_quantization_params | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 44 | quantization_params[RESTRICT_STATIC 1]) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8gemm_sparse.h:78:11: note: previously declared as ‘const struct pytorch_qnnp_conv_dynamic_quantization_params *’ 77 | const struct pytorch_qnnp_conv_dynamic_quantization_params* \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 78 | quantization_params); | ^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8gemm_sparse.h:124:1: note: in expansion of macro ‘DECLARE_PYTORCH_Q8GEMM_DYNAMIC_QUANTIZATION_SPARSE_PACKEDA_UKERNEL_FUNCTION’ 124 | DECLARE_PYTORCH_Q8GEMM_DYNAMIC_QUANTIZATION_SPARSE_PACKEDA_UKERNEL_FUNCTION( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8gemm_sparse/8x4c1x4-dq-packedA-sse2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8gemm_sparse/8x4c1x4-dq-packedA-sse2.h:44:9: warning: argument 11 of type ‘const struct pytorch_qnnp_conv_dynamic_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 43 | const struct pytorch_qnnp_conv_dynamic_quantization_params | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 44 | quantization_params[RESTRICT_STATIC 1]) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8gemm_sparse.h:78:11: note: previously declared as ‘const struct pytorch_qnnp_conv_dynamic_quantization_params *’ 77 | const struct pytorch_qnnp_conv_dynamic_quantization_params* \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 78 | quantization_params); | ^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8gemm_sparse.h:127:1: note: in expansion of macro ‘DECLARE_PYTORCH_Q8GEMM_DYNAMIC_QUANTIZATION_SPARSE_PACKEDA_UKERNEL_FUNCTION’ 127 | DECLARE_PYTORCH_Q8GEMM_DYNAMIC_QUANTIZATION_SPARSE_PACKEDA_UKERNEL_FUNCTION( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 12%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p2c-scalar-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p2c-scalar-acc2.c:26:40: warning: argument 10 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p2c-scalar-acc2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:33:41: note: previously declared as ‘const union xnn_f32_default_params *’ 33 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:398:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION’ 398 | DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_ukernel_4p2c__scalar_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 12%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p2c-scalar.c.o [ 12%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p1c-minmax-scalar-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p2c-scalar.c:26:40: warning: argument 10 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p2c-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:33:41: note: previously declared as ‘const union xnn_f32_default_params *’ 33 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:397:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION’ 397 | DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_ukernel_4p2c__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p1c-minmax-scalar-acc2.c:26:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p1c-minmax-scalar-acc2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:411:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 411 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_9p1c__scalar_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 12%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p1c-minmax-scalar.c.o Compiling enhcompat.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/enhcompat.o [ 12%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p1c-scalar-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p1c-minmax-scalar.c:26:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p1c-minmax-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:410:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 410 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_9p1c__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p1c-scalar-acc2.c:26:40: warning: argument 10 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p1c-scalar-acc2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:33:41: note: previously declared as ‘const union xnn_f32_default_params *’ 33 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:406:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION’ 406 | DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_ukernel_9p1c__scalar_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 12%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_avx2.dir/src/FbgemmSparseDenseInt8Avx2.cc.o [ 12%] Building CXX object c10/CMakeFiles/c10.dir/core/impl/PyObjectSlot.cpp.o [ 12%] Building CXX object c10/CMakeFiles/c10.dir/core/impl/PythonDispatcherTLS.cpp.o [ 12%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p1c-scalar.c.o Compiling proxy.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/proxy.o [ 12%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/util/internal/protostream_objectwriter.cc.o [ 12%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p2c-minmax-scalar-acc2.c.o [ 12%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_avx2.dir/src/OptimizedKernelsAvx2.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p1c-scalar.c:26:40: warning: argument 10 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p1c-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:33:41: note: previously declared as ‘const union xnn_f32_default_params *’ 33 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:405:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION’ 405 | DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_ukernel_9p1c__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 12%] Building CXX object c10/CMakeFiles/c10.dir/core/impl/SizesAndStrides.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p2c-minmax-scalar-acc2.c:26:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 12%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/q8gemm_sparse/8x4-packA-sse2.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p2c-minmax-scalar-acc2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:413:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 413 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_9p2c__scalar_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/proto_writer.cc: In member function ‘virtual std::string google::protobuf::util::converter::ProtoWriter::ProtoElement::ToString() const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/proto_writer.cc:409:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 409 | while (i < name.size() && | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/proto_writer.cc:412:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 412 | if (i > 0 && i == name.size()) { // safe field name | ~~^~~~~~~~~~~~~~ [ 12%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/util/internal/type_info.cc.o [ 12%] Built target generate-torch-sources [ 12%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p2c-minmax-scalar.c.o [ 12%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/cpu_softmax_list.cpp.o [ 12%] Built target renameAVX2128.h_generated [ 12%] Built target renameFMA4.h_generated /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p2c-minmax-scalar.c:26:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p2c-minmax-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:412:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 412 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_9p2c__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 12%] Built target renameAVX.h_generated [ 12%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p2c-scalar-acc2.c.o [ 12%] Built target renameSSE4.h_generated [ 12%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/context_impl.cc.o [ 13%] Built target renameSSE2.h_generated /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p2c-scalar-acc2.c:26:40: warning: argument 10 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 13%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/util/internal/type_info_test_helper.cc.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p2c-scalar-acc2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:33:41: note: previously declared as ‘const union xnn_f32_default_params *’ 33 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:408:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION’ 408 | DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_ukernel_9p2c__scalar_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 13%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/util/internal/utility.cc.o [ 13%] Built target renamePUREC_SCALAR.h_generated [ 13%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p2c-scalar.c.o [ 13%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/util/json_util.cc.o [ 13%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/q8vadd/sse2.c.o [ 13%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/cpu_sum.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p2c-scalar.c:26:40: warning: argument 10 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p2c-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:33:41: note: previously declared as ‘const union xnn_f32_default_params *’ 33 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:407:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION’ 407 | DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_ukernel_9p2c__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 13%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/float16.cpp.o [ 13%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p1c-minmax-scalar-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p1c-minmax-scalar-acc2.c:26:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p1c-minmax-scalar-acc2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:421:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 421 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_25p1c__scalar_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 13%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_avx2_f32_copy_bt_kern_autogen.cpp.o [ 13%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/CuptiEventApi.cpp.o [ 13%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/error.cc.o [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p1c-minmax-scalar.c.o [ 14%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/util/message_differencer.cc.o [ 14%] Building CXX object c10/CMakeFiles/c10.dir/core/impl/TorchDispatchModeTLS.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p1c-minmax-scalar.c:26:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p1c-minmax-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:420:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 420 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_25p1c__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 14%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/gemm_convolution.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/protostream_objectwriter.cc: In function ‘google::protobuf::util::Status google::protobuf::util::converter::{anonymous}::GetNanosFromStringPiece(google::protobuf::StringPiece, const char*, const char*, google::protobuf::int32*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/protostream_objectwriter.cc:150:47: warning: comparison of integer expressions of different signedness: ‘google::protobuf::stringpiece_ssize_type’ {aka ‘long int’} and ‘const google::protobuf::StringPiece::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 150 | if (s_nanos.find_first_not_of("0123456789") != StringPiece::npos) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/protostream_objectwriter.cc: In member function ‘void google::protobuf::util::converter::ProtoStreamObjectWriter::AnyWriter::StartAny(const google::protobuf::util::converter::DataPiece&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/protostream_objectwriter.cc:379:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 379 | for (int i = 0; i < uninterpreted_events_.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 14%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/util/time_util.cc.o [ 14%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_avx2.dir/src/PackDepthwiseConvMatrixAvx2.cc.o [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p1c-scalar-acc2.c.o [ 14%] Building CXX object c10/CMakeFiles/c10.dir/core/impl/alloc_cpu.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8vadd/sse2.c:21:9: warning: argument 5 of type ‘const union pytorch_qnnp_add_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union pytorch_qnnp_add_quantization_params | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 21 | quantization_params[RESTRICT_STATIC 1]) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8vadd/sse2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8vadd.h:27:57: note: previously declared as ‘const union pytorch_qnnp_add_quantization_params *’ 27 | const union pytorch_qnnp_add_quantization_params* quantization_params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8vadd.h:30:1: note: in expansion of macro ‘DECLARE_PYTORCH_Q8VADD_UKERNEL_FUNCTION’ 30 | DECLARE_PYTORCH_Q8VADD_UKERNEL_FUNCTION(pytorch_q8vadd_ukernel__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p1c-scalar-acc2.c:26:40: warning: argument 10 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p1c-scalar-acc2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:33:41: note: previously declared as ‘const union xnn_f32_default_params *’ 33 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:416:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION’ 416 | DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_ukernel_25p1c__scalar_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/engine_id.hpp:23, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/engine.hpp:27, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/cpu_engine.hpp:26, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/cpu_inner_product_list.cpp:17: In function ‘void dnnl::impl::utils::array_copy(T*, const T*, size_t) [with T = long int]’, inlined from ‘dnnl::impl::status_t dnnl::impl::memory_desc_init_by_blocking_desc(memory_desc_t&, const blocking_desc_t&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/type_helpers.hpp:789:22, inlined from ‘dnnl::impl::cpu::{anonymous}::transpose_md(dnnl::impl::memory_desc_t&)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/cpu_inner_product_pd.hpp:104:42: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:202:16: warning: ‘void* __builtin_memcpy(void*, const void*, long unsigned int)’ specified bound between 18446744056529682432 and 18446744073709551608 exceeds maximum object size 9223372036854775807 [-Wstringop-overflow=] 202 | dst[i] = src[i]; | ~~~~~~~^~~~~~ In function ‘void dnnl::impl::utils::array_copy(T*, const T*, size_t) [with T = long int]’, inlined from ‘dnnl::impl::status_t dnnl::impl::memory_desc_init_by_blocking_desc(memory_desc_t&, const blocking_desc_t&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/type_helpers.hpp:792:22, inlined from ‘dnnl::impl::cpu::{anonymous}::transpose_md(dnnl::impl::memory_desc_t&)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/cpu_inner_product_pd.hpp:104:42: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:202:16: warning: ‘void* __builtin_memcpy(void*, const void*, long unsigned int)’ specified bound between 18446744056529682432 and 18446744073709551608 exceeds maximum object size 9223372036854775807 [-Wstringop-overflow=] 202 | dst[i] = src[i]; | ~~~~~~~^~~~~~ [ 14%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/u8clamp/sse2.c.o [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p1c-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/u8clamp/sse2.c:19:49: warning: argument 4 of type ‘const union pytorch_qnnp_u8_clamping_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 19 | const union pytorch_qnnp_u8_clamping_params params[RESTRICT_STATIC 1]) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/u8clamp/sse2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/u8clamp.h:26:52: note: previously declared as ‘const union pytorch_qnnp_u8_clamping_params *’ 26 | const union pytorch_qnnp_u8_clamping_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/u8clamp.h:29:1: note: in expansion of macro ‘DECLARE_PYTORCH_U8CLAMP_UKERNEL_FUNCTION’ 29 | DECLARE_PYTORCH_U8CLAMP_UKERNEL_FUNCTION(pytorch_u8clamp_ukernel__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p1c-scalar.c:26:40: warning: argument 10 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p1c-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:33:41: note: previously declared as ‘const union xnn_f32_default_params *’ 33 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:415:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION’ 415 | DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_ukernel_25p1c__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 14%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/u8maxpool/16x9p8q-sse2.c.o [ 14%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/util/type_resolver_util.cc.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/type_info_test_helper.h:39, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/type_info_test_helper.cc:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/default_value_objectwriter.h: In destructor ‘virtual google::protobuf::util::converter::DefaultValueObjectWriter::Node::~Node()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/default_value_objectwriter.h:156:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 156 | for (int i = 0; i < children_.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/u8maxpool/16x9p8q-sse2.c:23:49: warning: argument 8 of type ‘const union pytorch_qnnp_u8_clamping_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union pytorch_qnnp_u8_clamping_params params[RESTRICT_STATIC 1]) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/u8maxpool/16x9p8q-sse2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/u8maxpool.h:30:52: note: previously declared as ‘const union pytorch_qnnp_u8_clamping_params *’ 30 | const union pytorch_qnnp_u8_clamping_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/u8maxpool.h:33:1: note: in expansion of macro ‘DECLARE_PYTORCH_U8MAXPOOL_UKERNEL_FUNCTION’ 33 | DECLARE_PYTORCH_U8MAXPOOL_UKERNEL_FUNCTION(pytorch_u8maxpool_ukernel_16x9p8q__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p2c-minmax-scalar-acc2.c.o [ 14%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/listener.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p2c-minmax-scalar-acc2.c:26:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p2c-minmax-scalar-acc2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:423:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 423 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_25p2c__scalar_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/type_info_test_helper.cc: In member function ‘void google::protobuf::util::converter::testing::TypeInfoTestHelper::ResetTypeInfo(const std::vector&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/type_info_test_helper.cc:59:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 59 | for (int i = 1; i < descriptors.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~ [ 14%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/u8maxpool/sub16-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/utility.cc: In function ‘std::string google::protobuf::util::converter::ToCamelCase(google::protobuf::StringPiece)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/utility.cc:261:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘google::protobuf::stringpiece_ssize_type’ {aka ‘long int’} [-Wsign-compare] 261 | for (size_t i = 0; i < input.size(); ++i, was_cap = is_cap) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/utility.cc:274:19: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘google::protobuf::stringpiece_ssize_type’ {aka ‘long int’} [-Wsign-compare] 274 | (i + 1 < input.size() && ascii_islower(input[i + 1])))) { | ~~~~~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/utility.cc: In function ‘std::string google::protobuf::util::converter::ToSnakeCase(google::protobuf::StringPiece)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/utility.cc:303:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘google::protobuf::stringpiece_ssize_type’ {aka ‘long int’} [-Wsign-compare] 303 | for (size_t i = 0; i < input.size(); ++i) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/utility.cc:316:19: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘google::protobuf::stringpiece_ssize_type’ {aka ‘long int’} [-Wsign-compare] 316 | (i + 1 < input.size() && // case 3 out | ~~~~~~^~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/json_util.cc:37: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/default_value_objectwriter.h: In destructor ‘virtual google::protobuf::util::converter::DefaultValueObjectWriter::Node::~Node()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/default_value_objectwriter.h:156:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 156 | for (int i = 0; i < children_.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/utility.cc: In function ‘void google::protobuf::util::converter::InitWellKnownTypes()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/utility.cc:347:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 347 | for (int i = 0; i < GOOGLE_ARRAYSIZE(well_known_types_name_array_); ++i) { /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/u8maxpool/sub16-sse2.c:23:49: warning: argument 8 of type ‘const union pytorch_qnnp_u8_clamping_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union pytorch_qnnp_u8_clamping_params params[RESTRICT_STATIC 1]) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/u8maxpool/sub16-sse2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/u8maxpool.h:30:52: note: previously declared as ‘const union pytorch_qnnp_u8_clamping_params *’ 30 | const union pytorch_qnnp_u8_clamping_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/u8maxpool.h:35:1: note: in expansion of macro ‘DECLARE_PYTORCH_U8MAXPOOL_UKERNEL_FUNCTION’ 35 | DECLARE_PYTORCH_U8MAXPOOL_UKERNEL_FUNCTION(pytorch_u8maxpool_ukernel_sub16__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p2c-minmax-scalar.c.o [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p2c-scalar-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p2c-minmax-scalar.c:26:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p2c-minmax-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:422:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 422 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_25p2c__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 14%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_avx2_kernel_sgemm_kern.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p2c-scalar-acc2.c:26:40: warning: argument 10 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 14%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/u8rmax/sse2.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p2c-scalar-acc2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:33:41: note: previously declared as ‘const union xnn_f32_default_params *’ 33 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:418:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION’ 418 | DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_ukernel_25p2c__scalar_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/json_util.cc: In member function ‘virtual void google::protobuf::util::internal::ZeroCopyStreamByteSink::Append(const char*, size_t)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/json_util.cc:64:13: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 64 | if (len <= buffer_size_) { | ~~~~^~~~~~~~~~~~~~~ [ 14%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/wire_format.cc.o [ 14%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/x8zip/x2-sse2.c.o [ 14%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_avx512_common_gemm_f32.cpp.o [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p2c-scalar.c.o [ 14%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/x8zip/x3-sse2.c.o [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-bitcast-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p2c-scalar.c:26:40: warning: argument 10 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p2c-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:33:41: note: previously declared as ‘const union xnn_f32_default_params *’ 33 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:417:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION’ 417 | DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_ukernel_25p2c__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-bitcast-x1.c:21:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-bitcast-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:147:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 147 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__scalar_bitcast_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-bitcast-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-bitcast-x2.c:21:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-bitcast-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:148:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 148 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__scalar_bitcast_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 14%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/x8zip/x4-sse2.c.o [ 14%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/wrappers.pb.cc.o [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-bitcast-x3.c.o [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-bitcast-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-bitcast-x3.c:21:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-bitcast-x3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:149:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 149 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__scalar_bitcast_x3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 14%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/x8zip/xm-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-bitcast-x4.c:21:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-bitcast-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:150:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 150 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__scalar_bitcast_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 14%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/patterns/convtranspose_fusion.cpp.o [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-fabsf-x1.c.o [ 14%] Building CXX object c10/CMakeFiles/c10.dir/core/thread_pool.cpp.o [ 14%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_avx2.dir/src/spmmUtilsAvx2.cc.o [ 14%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_avx2.dir/src/QuantUtilsAvx2.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-fabsf-x1.c:22:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-fabsf-x1.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:152:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 152 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__scalar_fabsf_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc: In constructor ‘google::protobuf::util::MessageDifferencer::MultipleFieldsMapKeyComparator::MultipleFieldsMapKeyComparator(google::protobuf::util::MessageDifferencer*, const std::vector >&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc:114:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 114 | for (int i = 0; i < key_field_paths_.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc: In member function ‘virtual bool google::protobuf::util::MessageDifferencer::MultipleFieldsMapKeyComparator::IsMatch(const google::protobuf::Message&, const google::protobuf::Message&, const std::vector&) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc:127:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 127 | for (int i = 0; i < key_field_paths_.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc: In member function ‘bool google::protobuf::util::MessageDifferencer::MultipleFieldsMapKeyComparator::IsMatchInternal(const google::protobuf::Message&, const google::protobuf::Message&, const std::vector&, const std::vector&, int) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc:144:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 144 | if (path_index == key_field_path.size() - 1) { | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc: In function ‘void google::protobuf::util::MatchIndicesPostProcessorForSmartList(std::vector*, std::vector*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc:190:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 190 | for (int i = 0; i < match_list1->size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc: In destructor ‘google::protobuf::util::MessageDifferencer::~MessageDifferencer()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc:278:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 278 | for (int i = 0; i < owned_key_comparators_.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc:281:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 281 | for (int i = 0; i < ignore_criteria_.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ [ 14%] Linking CXX static library ../../lib/libpytorch_qnnpack.a [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-fabsf-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc: In member function ‘void google::protobuf::util::MessageDifferencer::TreatAsMapWithMultipleFieldsAsKey(const google::protobuf::FieldDescriptor*, const std::vector&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc:382:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 382 | for (int i = 0; i < key_fields.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc: In member function ‘void google::protobuf::util::MessageDifferencer::TreatAsMapWithMultipleFieldPathsAsKey(const google::protobuf::FieldDescriptor*, const std::vector >&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc:397:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 397 | for (int i = 0; i < key_field_paths.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc:400:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 400 | for (int j = 0; j < key_field_path.size(); ++j) { | ~~^~~~~~~~~~~~~~~~~~~~~~~ [ 14%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/gemm_convolution_utils.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc: In member function ‘google::protobuf::util::FieldDescriptorArray google::protobuf::util::MessageDifferencer::CombineFields(const google::protobuf::util::FieldDescriptorArray&, Scope, const google::protobuf::util::FieldDescriptorArray&, Scope)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc:679:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 679 | while (index1 < fields1.size() && index2 < fields2.size()) { | ~~~~~~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc:679:44: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 679 | while (index1 < fields1.size() && index2 < fields2.size()) { | ~~~~~~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc: In static member function ‘static bool google::protobuf::util::MessageDifferencer::CheckPathChanged(const std::vector&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc:1119:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1119 | for (int i = 0; i < field_path.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc: In member function ‘bool google::protobuf::util::MessageDifferencer::IsIgnored(const google::protobuf::Message&, const google::protobuf::Message&, const google::protobuf::FieldDescriptor*, const std::vector&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc:1166:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1166 | for (int i = 0; i < ignore_criteria_.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc: In member function ‘bool google::protobuf::util::MessageDifferencer::IsUnknownFieldIgnored(const google::protobuf::Message&, const google::protobuf::Message&, const SpecificField&, const std::vector&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc:1179:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1179 | for (int i = 0; i < ignore_criteria_.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc: In member function ‘bool google::protobuf::util::MessageDifferencer::CompareUnknownFields(const google::protobuf::Message&, const google::protobuf::Message&, const google::protobuf::UnknownFieldSet&, const google::protobuf::UnknownFieldSet&, std::vector*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc:1302:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1302 | while (index1 < fields1.size() || index2 < fields2.size()) { | ~~~~~~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc:1302:44: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1302 | while (index1 < fields1.size() || index2 < fields2.size()) { | ~~~~~~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc:1316:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1316 | if (index2 == fields2.size() || | ~~~~~~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc:1317:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1317 | (index1 < fields1.size() && | ~~~~~~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc:1322:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1322 | } else if (index1 == fields1.size() || | ~~~~~~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-fabsf-x2.c:22:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-fabsf-x2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:153:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 153 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__scalar_fabsf_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc: In member function ‘virtual void google::protobuf::util::MessageDifferencer::StreamReporter::PrintPath(const std::vector&, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc:1764:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1764 | for (int i = 0; i < field_path.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~ [ 14%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/listener_impl.cc.o [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-fabsf-x3.c.o [ 14%] Built target pytorch_qnnpack /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-fabsf-x3.c:22:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-fabsf-x3.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:154:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 154 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__scalar_fabsf_x3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 14%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/pipe.cc.o [ 14%] Building CXX object c10/CMakeFiles/c10.dir/mobile/CPUCachingAllocator.cpp.o [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-fabsf-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-fabsf-x4.c:22:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-fabsf-x4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:155:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 155 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__scalar_fabsf_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gavgpool-cw/f32-gavgpool-cw-scalar-x1.c.o [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gavgpool/f32-gavgpool-7p7x-minmax-scalar-c1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gavgpool-cw/f32-gavgpool-cw-scalar-x1.c:17:41: warning: argument 5 of type ‘const union xnn_f32_gavgpool_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 17 | const union xnn_f32_gavgpool_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gavgpool-cw/f32-gavgpool-cw-scalar-x1.c:8: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:314:44: note: previously declared as ‘const union xnn_f32_gavgpool_params *’ 314 | const union xnn_f32_gavgpool_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:317:1: note: in expansion of macro ‘DECLARE_F32_GAVGPOOL_CW_UKERNEL_FUNCTION’ 317 | DECLARE_F32_GAVGPOOL_CW_UKERNEL_FUNCTION(xnn_f32_gavgpool_cw_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gavgpool/f32-gavgpool-7p7x-minmax-scalar-c1.c:20:44: warning: argument 8 of type ‘const union xnn_f32_scaleminmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_f32_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gavgpool/f32-gavgpool-7p7x-minmax-scalar-c1.c:8: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:31:47: note: previously declared as ‘const union xnn_f32_scaleminmax_params *’ 31 | const union xnn_f32_scaleminmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:34:1: note: in expansion of macro ‘DECLARE_F32_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 34 | DECLARE_F32_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_f32_gavgpool_minmax_ukernel_7p7x__scalar_c1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 14%] Building CXX object c10/CMakeFiles/c10.dir/mobile/CPUProfilingAllocator.cpp.o [ 14%] Building CXX object c10/CMakeFiles/c10.dir/util/Array.cpp.o [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gavgpool/f32-gavgpool-7x-minmax-scalar-c1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gavgpool/f32-gavgpool-7x-minmax-scalar-c1.c:19:44: warning: argument 7 of type ‘const union xnn_f32_scaleminmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 19 | const union xnn_f32_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gavgpool/f32-gavgpool-7x-minmax-scalar-c1.c:8: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:49:47: note: previously declared as ‘const union xnn_f32_scaleminmax_params *’ 49 | const union xnn_f32_scaleminmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:52:1: note: in expansion of macro ‘DECLARE_F32_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 52 | DECLARE_F32_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_gavgpool_minmax_ukernel_7x__scalar_c1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 14%] Building CXX object c10/CMakeFiles/c10.dir/util/Backtrace.cpp.o [ 14%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_avx512.dir/src/FbgemmFP16UKernelsAvx512.cc.o [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-1x4-minmax-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-1x4-minmax-scalar.c:26:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-1x4-minmax-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:459:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 459 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_1x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-1x4-relu-scalar.c.o [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-1x4-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-1x4-relu-scalar.c:26:37: warning: argument 10 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-1x4-relu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:135:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 135 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:454:1: note: in expansion of macro ‘DECLARE_F32_GEMM_RELU_UKERNEL_FUNCTION’ 454 | DECLARE_F32_GEMM_RELU_UKERNEL_FUNCTION(xnn_f32_gemm_relu_ukernel_1x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling misc/gdrwrap.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/misc/gdrwrap.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-1x4-scalar.c:26:40: warning: argument 10 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-1x4-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:122:43: note: previously declared as ‘const union xnn_f32_default_params *’ 122 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:449:1: note: in expansion of macro ‘DECLARE_F32_GEMM_UKERNEL_FUNCTION’ 449 | DECLARE_F32_GEMM_UKERNEL_FUNCTION(xnn_f32_gemm_ukernel_1x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 14%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/CuptiMetricApi.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/wire_format.cc: In static member function ‘static size_t google::protobuf::internal::WireFormat::ByteSize(const google::protobuf::Message&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/wire_format.cc:1465:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1465 | for (int i = 0; i < fields.size(); i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/wire_format.cc: In static member function ‘static size_t google::protobuf::internal::WireFormat::FieldDataOnlyByteSize(const google::protobuf::FieldDescriptor*, const google::protobuf::Message&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/wire_format.cc:1648:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1648 | for (int j = 0; j < count; j++) { \ | ~~^~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/wire_format.cc:1664:5: note: in expansion of macro ‘HANDLE_TYPE’ 1664 | HANDLE_TYPE(INT32, Int32, Int32) | ^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/wire_format.cc:1648:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1648 | for (int j = 0; j < count; j++) { \ | ~~^~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/wire_format.cc:1665:5: note: in expansion of macro ‘HANDLE_TYPE’ 1665 | HANDLE_TYPE(INT64, Int64, Int64) | ^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/wire_format.cc:1648:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1648 | for (int j = 0; j < count; j++) { \ | ~~^~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/wire_format.cc:1666:5: note: in expansion of macro ‘HANDLE_TYPE’ 1666 | HANDLE_TYPE(SINT32, SInt32, Int32) | ^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/wire_format.cc:1648:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1648 | for (int j = 0; j < count; j++) { \ | ~~^~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/wire_format.cc:1667:5: note: in expansion of macro ‘HANDLE_TYPE’ 1667 | HANDLE_TYPE(SINT64, SInt64, Int64) | ^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/wire_format.cc:1648:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1648 | for (int j = 0; j < count; j++) { \ | ~~^~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/wire_format.cc:1668:5: note: in expansion of macro ‘HANDLE_TYPE’ 1668 | HANDLE_TYPE(UINT32, UInt32, UInt32) | ^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/wire_format.cc:1648:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1648 | for (int j = 0; j < count; j++) { \ | ~~^~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/wire_format.cc:1669:5: note: in expansion of macro ‘HANDLE_TYPE’ 1669 | HANDLE_TYPE(UINT64, UInt64, UInt64) | ^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/wire_format.cc:1648:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1648 | for (int j = 0; j < count; j++) { \ | ~~^~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/wire_format.cc:1681:5: note: in expansion of macro ‘HANDLE_TYPE’ 1681 | HANDLE_TYPE(GROUP, Group, Message) | ^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/wire_format.cc:1648:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1648 | for (int j = 0; j < count; j++) { \ | ~~^~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/wire_format.cc:1682:5: note: in expansion of macro ‘HANDLE_TYPE’ 1682 | HANDLE_TYPE(MESSAGE, Message, Message) | ^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/wire_format.cc:1688:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1688 | for (int j = 0; j < count; j++) { | ~~^~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/wire_format.cc:1703:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1703 | for (int j = 0; j < count; j++) { | ~~^~~~~~~ [ 14%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/gemm_inner_product.cpp.o [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-2x4-minmax-scalar.c.o [ 14%] Built target microkernels-prod [ 14%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_avx512_core_f32_copy_an_kern_autogen.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-2x4-minmax-scalar.c:26:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-2x4-minmax-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:460:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 460 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_2x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 14%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_avx2.dir/src/UtilsAvx2.cc.o [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-2x4-relu-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-2x4-relu-scalar.c:26:37: warning: argument 10 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-2x4-relu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:135:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 135 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:455:1: note: in expansion of macro ‘DECLARE_F32_GEMM_RELU_UKERNEL_FUNCTION’ 455 | DECLARE_F32_GEMM_RELU_UKERNEL_FUNCTION(xnn_f32_gemm_relu_ukernel_2x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 15%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_avx512_core_f32_copy_at_kern_part1_autogen.cpp.o [ 15%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_avx512_core_f32_copy_at_kern_part2_autogen.cpp.o [ 15%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-2x4-scalar.c.o [ 15%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_avx2.dir/src/FbgemmFP16UKernelsAvx2.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-2x4-scalar.c:26:40: warning: argument 10 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-2x4-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:122:43: note: previously declared as ‘const union xnn_f32_default_params *’ 122 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:450:1: note: in expansion of macro ‘DECLARE_F32_GEMM_UKERNEL_FUNCTION’ 450 | DECLARE_F32_GEMM_UKERNEL_FUNCTION(xnn_f32_gemm_ukernel_2x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 15%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-4x2-minmax-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x2-minmax-scalar.c:26:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x2-minmax-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:461:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 461 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_4x2__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 15%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-4x2-relu-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x2-relu-scalar.c:26:37: warning: argument 10 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x2-relu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:135:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 135 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:456:1: note: in expansion of macro ‘DECLARE_F32_GEMM_RELU_UKERNEL_FUNCTION’ 456 | DECLARE_F32_GEMM_RELU_UKERNEL_FUNCTION(xnn_f32_gemm_relu_ukernel_4x2__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 15%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-4x2-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x2-scalar.c:26:40: warning: argument 10 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x2-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:122:43: note: previously declared as ‘const union xnn_f32_default_params *’ 122 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:451:1: note: in expansion of macro ‘DECLARE_F32_GEMM_UKERNEL_FUNCTION’ 451 | DECLARE_F32_GEMM_UKERNEL_FUNCTION(xnn_f32_gemm_ukernel_4x2__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 15%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/patterns/eltwise_fusion.cpp.o [ 15%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-4x4-minmax-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x4-minmax-scalar.c:26:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x4-minmax-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:462:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 462 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_4x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 15%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/pipe_impl.cc.o [ 15%] Building CXX object c10/CMakeFiles/c10.dir/util/C++17.cpp.o [ 15%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-4x4-relu-scalar.c.o [ 15%] Building CXX object c10/CMakeFiles/c10.dir/util/DeadlockDetection.cpp.o [ 16%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/error.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x4-relu-scalar.c:26:37: warning: argument 10 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x4-relu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:135:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 135 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:457:1: note: in expansion of macro ‘DECLARE_F32_GEMM_RELU_UKERNEL_FUNCTION’ 457 | DECLARE_F32_GEMM_RELU_UKERNEL_FUNCTION(xnn_f32_gemm_relu_ukernel_4x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 16%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/ExecuteKernel.cc.o [ 16%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/ExecuteKernelU8S8.cc.o [ 16%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-4x4-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x4-scalar.c:26:40: warning: argument 10 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x4-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:122:43: note: previously declared as ‘const union xnn_f32_default_params *’ 122 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:452:1: note: in expansion of macro ‘DECLARE_F32_GEMM_UKERNEL_FUNCTION’ 452 | DECLARE_F32_GEMM_UKERNEL_FUNCTION(xnn_f32_gemm_ukernel_4x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 16%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-1x4-minmax-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-1x4-minmax-scalar.c:27:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-1x4-minmax-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:667:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 667 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_1x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 16%] Building CXX object c10/CMakeFiles/c10.dir/util/Exception.cpp.o [ 16%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-2x4-minmax-scalar.c.o [ 16%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/basic/channel_impl.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-2x4-minmax-scalar.c:27:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-2x4-minmax-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:668:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 668 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_2x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 16%] Building CXX object c10/CMakeFiles/c10.dir/util/Half.cpp.o [ 16%] Building CXX object c10/CMakeFiles/c10.dir/util/LeftRight.cpp.o [ 16%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/patterns/interpolate_fusion.cpp.o [ 16%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-4x4-minmax-scalar.c.o [ 16%] Building CXX object c10/CMakeFiles/c10.dir/util/Logging.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-4x4-minmax-scalar.c:27:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-4x4-minmax-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:669:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 669 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_4x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 16%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-ibilinear-chw/gen/f32-ibilinear-chw-scalar-p1.c.o [ 16%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-ibilinear-chw/gen/f32-ibilinear-chw-scalar-p2.c.o [ 16%] Building CXX object c10/CMakeFiles/c10.dir/util/MathConstants.cpp.o [ 16%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-ibilinear-chw/gen/f32-ibilinear-chw-scalar-p4.c.o [ 16%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-ibilinear/gen/f32-ibilinear-scalar-c1.c.o [ 16%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-ibilinear/gen/f32-ibilinear-scalar-c2.c.o [ 16%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-ibilinear/gen/f32-ibilinear-scalar-c4.c.o [ 16%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-1x4-minmax-scalar.c.o [ 16%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-1x4-relu-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-1x4-minmax-scalar.c:28:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-1x4-minmax-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:373:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 373 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_1x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-1x4-relu-scalar.c:28:37: warning: argument 12 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-1x4-relu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:50:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 50 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:368:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_RELU_UKERNEL_FUNCTION’ 368 | DECLARE_F32_IGEMM_RELU_UKERNEL_FUNCTION(xnn_f32_igemm_relu_ukernel_1x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 16%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-1x4-scalar.c.o [ 16%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/patterns/layernorm_fusion.cpp.o [ 16%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-2x4-minmax-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc: In function ‘void tensorpipe::{anonymous}::parseDescriptorReplyOfMessage(tensorpipe::WriteOperation&, tensorpipe::DescriptorReply)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:35:40: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 35 | for (size_t tensorIdx = 0; tensorIdx < numTensors; ++tensorIdx) { | ~~~~~~~~~~^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc: In function ‘std::shared_ptr > tensorpipe::{anonymous}::makeDescriptorForMessage(const tensorpipe::WriteOperation&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:77:39: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 77 | for (int payloadIdx = 0; payloadIdx < op.message.payloads.size(); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-1x4-scalar.c:28:40: warning: argument 12 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-1x4-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:35:43: note: previously declared as ‘const union xnn_f32_default_params *’ 35 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:363:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_UKERNEL_FUNCTION’ 363 | DECLARE_F32_IGEMM_UKERNEL_FUNCTION(xnn_f32_igemm_ukernel_1x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:87:37: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 87 | for (int tensorIdx = 0; tensorIdx < op.tensors.size(); ++tensorIdx) { | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-2x4-minmax-scalar.c:28:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-2x4-minmax-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:374:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 374 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_2x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 16%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-2x4-relu-scalar.c.o [ 16%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/patterns/matmul_fusion.cpp.o [ 16%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-2x4-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-2x4-relu-scalar.c:28:37: warning: argument 12 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-2x4-relu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:50:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 50 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:369:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_RELU_UKERNEL_FUNCTION’ 369 | DECLARE_F32_IGEMM_RELU_UKERNEL_FUNCTION(xnn_f32_igemm_relu_ukernel_2x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-2x4-scalar.c:28:40: warning: argument 12 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-2x4-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:35:43: note: previously declared as ‘const union xnn_f32_default_params *’ 35 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:364:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_UKERNEL_FUNCTION’ 364 | DECLARE_F32_IGEMM_UKERNEL_FUNCTION(xnn_f32_igemm_ukernel_2x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 16%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-4x2-minmax-scalar.c.o [ 16%] Building CXX object c10/CMakeFiles/c10.dir/util/Metaprogramming.cpp.o Compiling misc/ibvwrap.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/misc/ibvwrap.o [ 16%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-4x2-relu-scalar.c.o [ 16%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/patterns/pool_fusion.cpp.o [ 16%] Building CXX object c10/CMakeFiles/c10.dir/util/Optional.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x2-minmax-scalar.c:28:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 16%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_avx512_core_f32_copy_bn_kern_autogen.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x2-minmax-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:375:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 375 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_4x2__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 16%] Building CXX object c10/CMakeFiles/c10.dir/util/SmallVector.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x2-relu-scalar.c:28:37: warning: argument 12 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x2-relu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:50:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 50 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:370:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_RELU_UKERNEL_FUNCTION’ 370 | DECLARE_F32_IGEMM_RELU_UKERNEL_FUNCTION(xnn_f32_igemm_relu_ukernel_4x2__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 16%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_avx512_core_f32_copy_bt_kern_autogen.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc: In member function ‘void tensorpipe::PipeImpl::expectReadCall(ReadOpIter)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:869:18: warning: unused variable ‘op’ [-Wunused-variable] 869 | ReadOperation& op = *opIter; | ^~ [ 16%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-4x2-scalar.c.o [ 16%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/Fbgemm.cc.o [ 16%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-4x4-minmax-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x2-scalar.c:28:40: warning: argument 12 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x2-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:35:43: note: previously declared as ‘const union xnn_f32_default_params *’ 35 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:365:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_UKERNEL_FUNCTION’ 365 | DECLARE_F32_IGEMM_UKERNEL_FUNCTION(xnn_f32_igemm_ukernel_4x2__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x4-minmax-scalar.c:28:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x4-minmax-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:376:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 376 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_4x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 16%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-4x4-relu-scalar.c.o [ 16%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-4x4-scalar.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.h:15, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of ‘TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::channel::basic::ChannelImpl; TOp = tensorpipe::channel::basic::SendOperation; int64_t = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:57:20: required from ‘void tensorpipe::OpsStateMachine::advanceOperation(Iter) [with TSubject = tensorpipe::channel::basic::ChannelImpl; TOp = tensorpipe::channel::basic::SendOperation]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.cc:51:28: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘std::deque >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 102 | if (offset < 0 || offset >= ops_.size()) { | ~~~~~~~^~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.h:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro ‘unlikely’ 27 | #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:226:3: note: in expansion of macro ‘__TP_DCHECK_CMP’ 226 | __TP_DCHECK_CMP(a, b, op) | ^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro ‘_TP_DCHECK_CMP’ 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro ‘TP_DCHECK_EQ’ 106 | TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); | ^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of ‘TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::channel::basic::ChannelImpl; TOp = tensorpipe::channel::basic::RecvOperation; int64_t = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:57:20: required from ‘void tensorpipe::OpsStateMachine::advanceOperation(Iter) [with TSubject = tensorpipe::channel::basic::ChannelImpl; TOp = tensorpipe::channel::basic::RecvOperation]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.cc:118:28: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘std::deque >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 102 | if (offset < 0 || offset >= ops_.size()) { | ~~~~~~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro ‘unlikely’ 27 | #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:226:3: note: in expansion of macro ‘__TP_DCHECK_CMP’ 226 | __TP_DCHECK_CMP(a, b, op) | ^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro ‘_TP_DCHECK_CMP’ 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro ‘TP_DCHECK_EQ’ 106 | TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); | ^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x4-relu-scalar.c:28:37: warning: argument 12 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x4-relu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:50:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 50 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:371:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_RELU_UKERNEL_FUNCTION’ 371 | DECLARE_F32_IGEMM_RELU_UKERNEL_FUNCTION(xnn_f32_igemm_relu_ukernel_4x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building CXX object c10/CMakeFiles/c10.dir/util/StringUtil.cpp.o [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-maxpool/f32-maxpool-9p8x-minmax-scalar-c1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x4-scalar.c:28:40: warning: argument 12 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x4-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:35:43: note: previously declared as ‘const union xnn_f32_default_params *’ 35 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:366:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_UKERNEL_FUNCTION’ 366 | DECLARE_F32_IGEMM_UKERNEL_FUNCTION(xnn_f32_igemm_ukernel_4x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-maxpool/f32-maxpool-9p8x-minmax-scalar-c1.c:21:39: warning: argument 9 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-maxpool/f32-maxpool-9p8x-minmax-scalar-c1.c:8: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/maxpool.h:48:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 48 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/maxpool.h:51:1: note: in expansion of macro ‘DECLARE_F32_MAXPOOL_MINMAX_UKERNEL_FUNCTION’ 51 | DECLARE_F32_MAXPOOL_MINMAX_UKERNEL_FUNCTION(xnn_f32_maxpool_minmax_ukernel_9p8x__scalar_c1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-pavgpool/f32-pavgpool-9p8x-minmax-scalar-c1.c.o [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-pavgpool/f32-pavgpool-9x-minmax-scalar-c1.c.o [ 17%] Generating src/x86_64-fma/2d-winograd-8x8-3x3.py.o [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-ppmm/gen/f32-ppmm-2x4-minmax-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-pavgpool/f32-pavgpool-9x-minmax-scalar-c1.c:23:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-pavgpool/f32-pavgpool-9p8x-minmax-scalar-c1.c:24:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-pavgpool/f32-pavgpool-9x-minmax-scalar-c1.c:8: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/pavgpool.h:91:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 91 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/pavgpool.h:94:1: note: in expansion of macro ‘DECLARE_F32_PAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 94 | DECLARE_F32_PAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_pavgpool_minmax_ukernel_9x__scalar_c1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-pavgpool/f32-pavgpool-9p8x-minmax-scalar-c1.c:8: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/pavgpool.h:69:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 69 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/pavgpool.h:72:1: note: in expansion of macro ‘DECLARE_F32_PAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 72 | DECLARE_F32_PAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_f32_pavgpool_minmax_ukernel_9p8x__scalar_c1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-ppmm/gen/f32-ppmm-2x4-minmax-scalar.c:25:37: warning: argument 9 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-ppmm/gen/f32-ppmm-2x4-minmax-scalar.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/ppmm.h:29:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 29 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/ppmm.h:42:1: note: in expansion of macro ‘DECLARE_F32_PPMM_MINMAX_UKERNEL_FUNCTION’ 42 | DECLARE_F32_PPMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_ppmm_minmax_ukernel_2x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building CXX object c10/CMakeFiles/c10.dir/util/ThreadLocalDebugInfo.cpp.o [ 17%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/FbgemmBfloat16Convert.cc.o [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-ppmm/gen/f32-ppmm-3x3-minmax-scalar.c.o [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-ppmm/gen/f32-ppmm-4x2-minmax-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-ppmm/gen/f32-ppmm-3x3-minmax-scalar.c:25:37: warning: argument 9 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-ppmm/gen/f32-ppmm-3x3-minmax-scalar.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/ppmm.h:29:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 29 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/ppmm.h:43:1: note: in expansion of macro ‘DECLARE_F32_PPMM_MINMAX_UKERNEL_FUNCTION’ 43 | DECLARE_F32_PPMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_ppmm_minmax_ukernel_3x3__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/basic/context_impl.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-ppmm/gen/f32-ppmm-4x2-minmax-scalar.c:25:37: warning: argument 9 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-ppmm/gen/f32-ppmm-4x2-minmax-scalar.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/ppmm.h:29:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 29 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/ppmm.h:44:1: note: in expansion of macro ‘DECLARE_F32_PPMM_MINMAX_UKERNEL_FUNCTION’ 44 | DECLARE_F32_PPMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_ppmm_minmax_ukernel_4x2__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-ppmm/gen/f32-ppmm-4x4-minmax-scalar.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/core/pipe_impl.h:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of ‘TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::PipeImpl; TOp = tensorpipe::ReadOperation; int64_t = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:57:20: required from ‘void tensorpipe::OpsStateMachine::advanceOperation(Iter) [with TSubject = tensorpipe::PipeImpl; TOp = tensorpipe::ReadOperation]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:391:28: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘std::deque >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 102 | if (offset < 0 || offset >= ops_.size()) { | ~~~~~~~^~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/core/pipe_impl.h:21: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro ‘unlikely’ 27 | #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:226:3: note: in expansion of macro ‘__TP_DCHECK_CMP’ 226 | __TP_DCHECK_CMP(a, b, op) | ^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro ‘_TP_DCHECK_CMP’ 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro ‘TP_DCHECK_EQ’ 106 | TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); | ^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-ppmm/gen/f32-ppmm-4x4-minmax-scalar.c:25:37: warning: argument 9 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-ppmm/gen/f32-ppmm-4x4-minmax-scalar.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/ppmm.h:29:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 29 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/ppmm.h:45:1: note: in expansion of macro ‘DECLARE_F32_PPMM_MINMAX_UKERNEL_FUNCTION’ 45 | DECLARE_F32_PPMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_ppmm_minmax_ukernel_4x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/basic/factory.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of ‘TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::PipeImpl; TOp = tensorpipe::WriteOperation; int64_t = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:57:20: required from ‘void tensorpipe::OpsStateMachine::advanceOperation(Iter) [with TSubject = tensorpipe::PipeImpl; TOp = tensorpipe::WriteOperation]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:580:29: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘std::deque >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 102 | if (offset < 0 || offset >= ops_.size()) { | ~~~~~~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro ‘unlikely’ 27 | #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:226:3: note: in expansion of macro ‘__TP_DCHECK_CMP’ 226 | __TP_DCHECK_CMP(a, b, op) | ^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro ‘_TP_DCHECK_CMP’ 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro ‘TP_DCHECK_EQ’ 106 | TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); | ^~~~~~~~~~~~ [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-prelu/gen/f32-prelu-scalar-2x1.c.o [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-prelu/gen/f32-prelu-scalar-2x4.c.o [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-fmagic-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-fmagic-x1.c:21:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/FbgemmConv.cc.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-fmagic-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:215:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 215 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__scalar_fmagic_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-fmagic-x2.c.o [ 17%] Building CXX object c10/CMakeFiles/c10.dir/util/TypeCast.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-fmagic-x2.c:21:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-fmagic-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:216:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 216 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__scalar_fmagic_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-fmagic-x3.c.o [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-fmagic-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-fmagic-x3.c:21:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-fmagic-x3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:217:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 217 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__scalar_fmagic_x3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-fmagic-x4.c:21:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-fmagic-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:218:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 218 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__scalar_fmagic_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-imagic-x1.c.o [ 17%] Building CXX object c10/CMakeFiles/c10.dir/util/TypeList.cpp.o [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-imagic-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-imagic-x1.c:21:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-imagic-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:220:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 220 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__scalar_imagic_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-imagic-x2.c:21:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-imagic-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:221:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 221 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__scalar_imagic_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-imagic-x3.c.o [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-imagic-x4.c.o [ 18%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/FbgemmFPCommon.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-imagic-x3.c:21:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-imagic-x4.c:21:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-imagic-x3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:222:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 222 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__scalar_imagic_x3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-imagic-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:223:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 223 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__scalar_imagic_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/xth/channel_impl.cc.o [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-lrintf-x1.c.o [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-lrintf-x2.c.o [ 18%] Building CXX object c10/CMakeFiles/c10.dir/util/TypeTraits.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-lrintf-x1.c:22:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-lrintf-x1.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:225:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 225 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__scalar_lrintf_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-lrintf-x2.c:22:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-lrintf-x2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:226:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 226 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__scalar_lrintf_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-lrintf-x3.c.o [ 18%] Building CXX object c10/CMakeFiles/c10.dir/util/Type_demangle.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-lrintf-x3.c:22:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-lrintf-x3.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:227:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 227 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__scalar_lrintf_x3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/gemm_inner_product_utils.cpp.o [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-lrintf-x4.c.o [ 18%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_avx512_core_gemm_smalln_tn_f32_kern.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-lrintf-x4.c:22:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-lrintf-x4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:228:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 228 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__scalar_lrintf_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-fmagic-x1.c.o [ 18%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_avx512.dir/src/FbgemmFP16UKernelsAvx512_256.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-fmagic-x1.c:21:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-fmagic-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:283:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 283 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__scalar_fmagic_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-fmagic-x2.c.o [ 18%] Building CXX object c10/CMakeFiles/c10.dir/util/Type_no_demangle.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-fmagic-x2.c:21:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-fmagic-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:284:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 284 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__scalar_fmagic_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-fmagic-x3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-fmagic-x3.c:21:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-fmagic-x3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:285:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 285 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__scalar_fmagic_x3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-fmagic-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-fmagic-x4.c:21:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-fmagic-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:286:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 286 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__scalar_fmagic_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-imagic-x1.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/serializer.h:24, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/core/nop_types.h:15, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/core/pipe_impl.h:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/map.h: In instantiation of ‘static constexpr nop::Status nop::Encoding >::WritePayload(nop::EncodingByte, const Type&, Writer*) [with Writer = tensorpipe::NopWriter; Key = std::pair; T = std::__cxx11::basic_string; Hash = std::hash >; KeyEqual = std::equal_to >; Allocator = std::allocator, std::__cxx11::basic_string > >; Type = std::unordered_map, std::__cxx11::basic_string >]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/encoding.h:120:39: required from ‘static constexpr nop::Status nop::EncodingIO::Write(const T&, Writer*) [with Writer = tensorpipe::NopWriter; T = std::unordered_map, std::__cxx11::basic_string >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/types/detail/member_pointer.h:56:33: required from ‘static constexpr nop::Status nop::MemberPointer::Write(const Class&, Writer*, MemberList) [with Writer = tensorpipe::NopWriter; MemberList = nop::MemberList, std::allocator > tensorpipe::BrochureAnswer::*, &tensorpipe::BrochureAnswer::transport, void*, 0, void>, nop::MemberPointer, std::allocator > tensorpipe::BrochureAnswer::*, &tensorpipe::BrochureAnswer::address, void*, 0, void>, nop::MemberPointer, std::equal_to, std::allocator > > tensorpipe::BrochureAnswer::*, &tensorpipe::BrochureAnswer::transportRegistrationIds, void*, 0, void>, nop::MemberPointer, std::allocator > tensorpipe::BrochureAnswer::*, &tensorpipe::BrochureAnswer::transportDomainDescriptor, void*, 0, void>, nop::MemberPointer, std::allocator >, std::vector >, std::hash, std::allocator > >, std::equal_to, std::allocator > >, std::allocator, std::allocator >, std::vector > > > > tensorpipe::BrochureAnswer::*, &tensorpipe::BrochureAnswer::channelRegistrationIds, void*, 0, void>, nop::MemberPointer, std::allocator >, std::unordered_map, std::allocator >, std::hash, std::equal_to, std::allocator, std::allocator > > > >, std::hash, std::allocator > >, std::equal_to, std::allocator > >, std::allocator, std::allocator >, std::unordered_map, std::allocator >, std::hash, std::equal_to, std::allocator, std::allocator > > > > > > > tensorpipe::BrochureAnswer::*, &tensorpipe::BrochureAnswer::channelDeviceDescriptors, void*, 0, void>, nop::MemberPointer, std::__cxx11::basic_string, std::allocator >, std::hash >, std::equal_to >, std::allocator, std::__cxx11::basic_string, std::allocator > > > > tensorpipe::BrochureAnswer::*, &tensorpipe::BrochureAnswer::channelForDevicePair, void*, 0, void> >; T = std::unordered_map, std::__cxx11::basic_string >; Class = tensorpipe::BrochureAnswer; T Class::* Pointer = &tensorpipe::BrochureAnswer::channelForDevicePair]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/members.h:103:41: required from ‘static constexpr nop::Status nop::Encoding::value, void>::type>::WriteMembers(const T&, Writer*, nop::Index) [with long unsigned int index = 7; Writer = tensorpipe::NopWriter; T = tensorpipe::BrochureAnswer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/members.h:59:26: required from ‘static constexpr nop::Status nop::Encoding::value, void>::type>::WritePayload(nop::EncodingByte, const T&, Writer*) [with Writer = tensorpipe::NopWriter; T = tensorpipe::BrochureAnswer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/encoding.h:120:39: required from ‘static constexpr nop::Status nop::EncodingIO::Write(const T&, Writer*) [with Writer = tensorpipe::NopWriter; T = tensorpipe::BrochureAnswer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/nop.h:232:35: required from ‘nop::Status tensorpipe::NopHolder::write(tensorpipe::NopWriter&) const [with T = tensorpipe::BrochureAnswer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/nop.h:231:21: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/map.h:142:35: warning: loop variable ‘element’ of type ‘const std::pair, std::__cxx11::basic_string >&’ binds to a temporary constructed from type ‘const std::__detail::_Node_const_iterator, std::__cxx11::basic_string >, false, false>::value_type’ {aka ‘const std::pair, std::__cxx11::basic_string >’} [-Wrange-loop-construct] 142 | for (const std::pair& element : value) { | ^~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/map.h:142:35: note: use non-reference type ‘const std::pair, std::__cxx11::basic_string >’ to make the copy explicit or ‘const std::__detail::_Node_const_iterator, std::__cxx11::basic_string >, false, false>::value_type&’ {aka ‘const std::pair, std::__cxx11::basic_string >&’} to prevent copying /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/map.h: In instantiation of ‘static constexpr nop::Status nop::Encoding >::WritePayload(nop::EncodingByte, const Type&, Writer*) [with Writer = tensorpipe::NopWriter; Key = std::__cxx11::basic_string; T = std::unordered_map >; Hash = std::hash >; KeyEqual = std::equal_to >; Allocator = std::allocator, std::unordered_map > > >; Type = std::unordered_map, std::unordered_map > >]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/encoding.h:120:39: required from ‘static constexpr nop::Status nop::EncodingIO::Write(const T&, Writer*) [with Writer = tensorpipe::NopWriter; T = std::unordered_map, std::unordered_map > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/types/detail/member_pointer.h:56:33: required from ‘static constexpr nop::Status nop::MemberPointer::Write(const Class&, Writer*, MemberList) [with Writer = tensorpipe::NopWriter; MemberList = nop::MemberList, std::allocator >, std::__cxx11::basic_string, std::allocator >, std::hash, std::allocator > >, std::equal_to, std::allocator > >, std::allocator, std::allocator >, std::__cxx11::basic_string, std::allocator > > > > tensorpipe::Brochure::*, &tensorpipe::Brochure::transportDomainDescriptors, void*, 0, void>, nop::MemberPointer, std::allocator >, std::unordered_map, std::allocator >, std::hash, std::equal_to, std::allocator, std::allocator > > > >, std::hash, std::allocator > >, std::equal_to, std::allocator > >, std::allocator, std::allocator >, std::unordered_map, std::allocator >, std::hash, std::equal_to, std::allocator, std::allocator > > > > > > > tensorpipe::Brochure::*, &tensorpipe::Brochure::channelDeviceDescriptors, void*, 0, void> >; T = std::unordered_map, std::unordered_map > >; Class = tensorpipe::Brochure; T Class::* Pointer = &tensorpipe::Brochure::channelDeviceDescriptors]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/members.h:103:41: required from ‘static constexpr nop::Status nop::Encoding::value, void>::type>::WriteMembers(const T&, Writer*, nop::Index) [with long unsigned int index = 2; Writer = tensorpipe::NopWriter; T = tensorpipe::Brochure]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/members.h:59:26: required from ‘static constexpr nop::Status nop::Encoding::value, void>::type>::WritePayload(nop::EncodingByte, const T&, Writer*) [with Writer = tensorpipe::NopWriter; T = tensorpipe::Brochure]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/encoding.h:120:39: required from ‘static constexpr nop::Status nop::EncodingIO::Write(const T&, Writer*) [with Writer = tensorpipe::NopWriter; T = tensorpipe::Brochure]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/nop.h:232:35: required from ‘nop::Status tensorpipe::NopHolder::write(tensorpipe::NopWriter&) const [with T = tensorpipe::Brochure]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/nop.h:231:21: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/map.h:142:35: warning: loop variable ‘element’ of type ‘const std::pair, std::unordered_map > >&’ binds to a temporary constructed from type ‘const std::__detail::_Node_const_iterator, std::unordered_map > >, false, true>::value_type’ {aka ‘const std::pair, std::unordered_map > >’} [-Wrange-loop-construct] /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/map.h:142:35: note: use non-reference type ‘const std::pair, std::unordered_map > >’ to make the copy explicit or ‘const std::__detail::_Node_const_iterator, std::unordered_map > >, false, true>::value_type&’ {aka ‘const std::pair, std::unordered_map > >&’} to prevent copying /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-imagic-x1.c:21:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-imagic-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:288:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 288 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__scalar_imagic_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building CXX object c10/CMakeFiles/c10.dir/util/Unicode.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/map.h: In instantiation of ‘static constexpr nop::Status nop::Encoding >::WritePayload(nop::EncodingByte, const Type&, Writer*) [with Writer = tensorpipe::NopWriter; Key = std::__cxx11::basic_string; T = std::__cxx11::basic_string; Hash = std::hash >; KeyEqual = std::equal_to >; Allocator = std::allocator, std::__cxx11::basic_string > >; Type = std::unordered_map, std::__cxx11::basic_string >]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/encoding.h:120:39: required from ‘static constexpr nop::Status nop::EncodingIO::Write(const T&, Writer*) [with Writer = tensorpipe::NopWriter; T = std::unordered_map, std::__cxx11::basic_string >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/types/detail/member_pointer.h:56:33: required from ‘static constexpr nop::Status nop::MemberPointer::Write(const Class&, Writer*, MemberList) [with Writer = tensorpipe::NopWriter; MemberList = nop::MemberList, std::allocator >, std::__cxx11::basic_string, std::allocator >, std::hash, std::allocator > >, std::equal_to, std::allocator > >, std::allocator, std::allocator >, std::__cxx11::basic_string, std::allocator > > > > tensorpipe::Brochure::*, &tensorpipe::Brochure::transportDomainDescriptors, void*, 0, void>, nop::MemberPointer, std::allocator >, std::unordered_map, std::allocator >, std::hash, std::equal_to, std::allocator, std::allocator > > > >, std::hash, std::allocator > >, std::equal_to, std::allocator > >, std::allocator, std::allocator >, std::unordered_map, std::allocator >, std::hash, std::equal_to, std::allocator, std::allocator > > > > > > > tensorpipe::Brochure::*, &tensorpipe::Brochure::channelDeviceDescriptors, void*, 0, void> >; T = std::unordered_map, std::__cxx11::basic_string >; Class = tensorpipe::Brochure; T Class::* Pointer = &tensorpipe::Brochure::transportDomainDescriptors]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/members.h:103:41: required from ‘static constexpr nop::Status nop::Encoding::value, void>::type>::WriteMembers(const T&, Writer*, nop::Index) [with long unsigned int index = 1; Writer = tensorpipe::NopWriter; T = tensorpipe::Brochure]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/members.h:99:31: required from ‘static constexpr nop::Status nop::Encoding::value, void>::type>::WriteMembers(const T&, Writer*, nop::Index) [with long unsigned int index = 2; Writer = tensorpipe::NopWriter; T = tensorpipe::Brochure]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/members.h:59:26: required from ‘static constexpr nop::Status nop::Encoding::value, void>::type>::WritePayload(nop::EncodingByte, const T&, Writer*) [with Writer = tensorpipe::NopWriter; T = tensorpipe::Brochure]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/encoding.h:120:39: required from ‘static constexpr nop::Status nop::EncodingIO::Write(const T&, Writer*) [with Writer = tensorpipe::NopWriter; T = tensorpipe::Brochure]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/nop.h:232:35: required from ‘nop::Status tensorpipe::NopHolder::write(tensorpipe::NopWriter&) const [with T = tensorpipe::Brochure]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/nop.h:231:21: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/map.h:142:35: warning: loop variable ‘element’ of type ‘const std::pair, std::__cxx11::basic_string >&’ binds to a temporary constructed from type ‘const std::__detail::_Node_const_iterator, std::__cxx11::basic_string >, false, true>::value_type’ {aka ‘const std::pair, std::__cxx11::basic_string >’} [-Wrange-loop-construct] /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/map.h:142:35: note: use non-reference type ‘const std::pair, std::__cxx11::basic_string >’ to make the copy explicit or ‘const std::__detail::_Node_const_iterator, std::__cxx11::basic_string >, false, true>::value_type&’ {aka ‘const std::pair, std::__cxx11::basic_string >&’} to prevent copying [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-imagic-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/map.h: In instantiation of ‘static constexpr nop::Status nop::Encoding >::WritePayload(nop::EncodingByte, const Type&, Writer*) [with Writer = tensorpipe::NopWriter; Key = std::__cxx11::basic_string; T = std::vector; Hash = std::hash >; KeyEqual = std::equal_to >; Allocator = std::allocator, std::vector > >; Type = std::unordered_map, std::vector >]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/encoding.h:120:39: required from ‘static constexpr nop::Status nop::EncodingIO::Write(const T&, Writer*) [with Writer = tensorpipe::NopWriter; T = std::unordered_map, std::vector >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/types/detail/member_pointer.h:56:33: required from ‘static constexpr nop::Status nop::MemberPointer::Write(const Class&, Writer*, MemberList) [with Writer = tensorpipe::NopWriter; MemberList = nop::MemberList, std::allocator > tensorpipe::BrochureAnswer::*, &tensorpipe::BrochureAnswer::transport, void*, 0, void>, nop::MemberPointer, std::allocator > tensorpipe::BrochureAnswer::*, &tensorpipe::BrochureAnswer::address, void*, 0, void>, nop::MemberPointer, std::equal_to, std::allocator > > tensorpipe::BrochureAnswer::*, &tensorpipe::BrochureAnswer::transportRegistrationIds, void*, 0, void>, nop::MemberPointer, std::allocator > tensorpipe::BrochureAnswer::*, &tensorpipe::BrochureAnswer::transportDomainDescriptor, void*, 0, void>, nop::MemberPointer, std::allocator >, std::vector >, std::hash, std::allocator > >, std::equal_to, std::allocator > >, std::allocator, std::allocator >, std::vector > > > > tensorpipe::BrochureAnswer::*, &tensorpipe::BrochureAnswer::channelRegistrationIds, void*, 0, void>, nop::MemberPointer, std::allocator >, std::unordered_map, std::allocator >, std::hash, std::equal_to, std::allocator, std::allocator > > > >, std::hash, std::allocator > >, std::equal_to, std::allocator > >, std::allocator, std::allocator >, std::unordered_map, std::allocator >, std::hash, std::equal_to, std::allocator, std::allocator > > > > > > > tensorpipe::BrochureAnswer::*, &tensorpipe::BrochureAnswer::channelDeviceDescriptors, void*, 0, void>, nop::MemberPointer, std::__cxx11::basic_string, std::allocator >, std::hash >, std::equal_to >, std::allocator, std::__cxx11::basic_string, std::allocator > > > > tensorpipe::BrochureAnswer::*, &tensorpipe::BrochureAnswer::channelForDevicePair, void*, 0, void> >; T = std::unordered_map, std::vector >; Class = tensorpipe::BrochureAnswer; T Class::* Pointer = &tensorpipe::BrochureAnswer::channelRegistrationIds]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/members.h:99:31: recursively required from ‘static constexpr nop::Status nop::Encoding::value, void>::type>::WriteMembers(const T&, Writer*, nop::Index) [with long unsigned int index = 6; Writer = tensorpipe::NopWriter; T = tensorpipe::BrochureAnswer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/members.h:99:31: required from ‘static constexpr nop::Status nop::Encoding::value, void>::type>::WriteMembers(const T&, Writer*, nop::Index) [with long unsigned int index = 7; Writer = tensorpipe::NopWriter; T = tensorpipe::BrochureAnswer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/members.h:59:26: required from ‘static constexpr nop::Status nop::Encoding::value, void>::type>::WritePayload(nop::EncodingByte, const T&, Writer*) [with Writer = tensorpipe::NopWriter; T = tensorpipe::BrochureAnswer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/encoding.h:120:39: required from ‘static constexpr nop::Status nop::EncodingIO::Write(const T&, Writer*) [with Writer = tensorpipe::NopWriter; T = tensorpipe::BrochureAnswer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/nop.h:232:35: required from ‘nop::Status tensorpipe::NopHolder::write(tensorpipe::NopWriter&) const [with T = tensorpipe::BrochureAnswer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/nop.h:231:21: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/map.h:142:35: warning: loop variable ‘element’ of type ‘const std::pair, std::vector >&’ binds to a temporary constructed from type ‘const std::__detail::_Node_const_iterator, std::vector >, false, true>::value_type’ {aka ‘const std::pair, std::vector >’} [-Wrange-loop-construct] /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/map.h:142:35: note: use non-reference type ‘const std::pair, std::vector >’ to make the copy explicit or ‘const std::__detail::_Node_const_iterator, std::vector >, false, true>::value_type&’ {aka ‘const std::pair, std::vector >&’} to prevent copying /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/map.h: In instantiation of ‘static constexpr nop::Status nop::Encoding >::WritePayload(nop::EncodingByte, const Type&, Writer*) [with Writer = tensorpipe::NopWriter; Key = tensorpipe::Device; T = std::__cxx11::basic_string; Hash = std::hash; KeyEqual = std::equal_to; Allocator = std::allocator > >; Type = std::unordered_map >]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/encoding.h:120:39: required from ‘static constexpr nop::Status nop::EncodingIO::Write(const T&, Writer*) [with Writer = tensorpipe::NopWriter; T = std::unordered_map >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/map.h:147:34: required from ‘static constexpr nop::Status nop::Encoding >::WritePayload(nop::EncodingByte, const Type&, Writer*) [with Writer = tensorpipe::NopWriter; Key = std::__cxx11::basic_string; T = std::unordered_map >; Hash = std::hash >; KeyEqual = std::equal_to >; Allocator = std::allocator, std::unordered_map > > >; Type = std::unordered_map, std::unordered_map > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/encoding.h:120:39: required from ‘static constexpr nop::Status nop::EncodingIO::Write(const T&, Writer*) [with Writer = tensorpipe::NopWriter; T = std::unordered_map, std::unordered_map > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/types/detail/member_pointer.h:56:33: required from ‘static constexpr nop::Status nop::MemberPointer::Write(const Class&, Writer*, MemberList) [with Writer = tensorpipe::NopWriter; MemberList = nop::MemberList, std::allocator >, std::__cxx11::basic_string, std::allocator >, std::hash, std::allocator > >, std::equal_to, std::allocator > >, std::allocator, std::allocator >, std::__cxx11::basic_string, std::allocator > > > > tensorpipe::Brochure::*, &tensorpipe::Brochure::transportDomainDescriptors, void*, 0, void>, nop::MemberPointer, std::allocator >, std::unordered_map, std::allocator >, std::hash, std::equal_to, std::allocator, std::allocator > > > >, std::hash, std::allocator > >, std::equal_to, std::allocator > >, std::allocator, std::allocator >, std::unordered_map, std::allocator >, std::hash, std::equal_to, std::allocator, std::allocator > > > > > > > tensorpipe::Brochure::*, &tensorpipe::Brochure::channelDeviceDescriptors, void*, 0, void> >; T = std::unordered_map, std::unordered_map > >; Class = tensorpipe::Brochure; T Class::* Pointer = &tensorpipe::Brochure::channelDeviceDescriptors]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/members.h:103:41: required from ‘static constexpr nop::Status nop::Encoding::value, void>::type>::WriteMembers(const T&, Writer*, nop::Index) [with long unsigned int index = 2; Writer = tensorpipe::NopWriter; T = tensorpipe::Brochure]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/members.h:59:26: required from ‘static constexpr nop::Status nop::Encoding::value, void>::type>::WritePayload(nop::EncodingByte, const T&, Writer*) [with Writer = tensorpipe::NopWriter; T = tensorpipe::Brochure]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/encoding.h:120:39: required from ‘static constexpr nop::Status nop::EncodingIO::Write(const T&, Writer*) [with Writer = tensorpipe::NopWriter; T = tensorpipe::Brochure]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/nop.h:232:35: required from ‘nop::Status tensorpipe::NopHolder::write(tensorpipe::NopWriter&) const [with T = tensorpipe::Brochure]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/nop.h:231:21: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/map.h:142:35: warning: loop variable ‘element’ of type ‘const std::pair >&’ binds to a temporary constructed from type ‘const std::__detail::_Node_const_iterator >, false, false>::value_type’ {aka ‘const std::pair >’} [-Wrange-loop-construct] /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/map.h:142:35: note: use non-reference type ‘const std::pair >’ to make the copy explicit or ‘const std::__detail::_Node_const_iterator >, false, false>::value_type&’ {aka ‘const std::pair >&’} to prevent copying [ 18%] Building CXX object c10/CMakeFiles/c10.dir/util/UniqueVoidPtr.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-imagic-x2.c:21:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-imagic-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:289:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 289 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__scalar_imagic_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/map.h: In instantiation of ‘static constexpr nop::Status nop::Encoding >::WritePayload(nop::EncodingByte, const Type&, Writer*) [with Writer = tensorpipe::NopWriter; Key = long unsigned int; T = long unsigned int; Hash = std::hash; KeyEqual = std::equal_to; Allocator = std::allocator >; Type = std::unordered_map]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/encoding.h:120:39: required from ‘static constexpr nop::Status nop::EncodingIO::Write(const T&, Writer*) [with Writer = tensorpipe::NopWriter; T = std::unordered_map]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/types/detail/member_pointer.h:56:33: required from ‘static constexpr nop::Status nop::MemberPointer::Write(const Class&, Writer*, MemberList) [with Writer = tensorpipe::NopWriter; MemberList = nop::MemberList, std::allocator > tensorpipe::BrochureAnswer::*, &tensorpipe::BrochureAnswer::transport, void*, 0, void>, nop::MemberPointer, std::allocator > tensorpipe::BrochureAnswer::*, &tensorpipe::BrochureAnswer::address, void*, 0, void>, nop::MemberPointer, std::equal_to, std::allocator > > tensorpipe::BrochureAnswer::*, &tensorpipe::BrochureAnswer::transportRegistrationIds, void*, 0, void>, nop::MemberPointer, std::allocator > tensorpipe::BrochureAnswer::*, &tensorpipe::BrochureAnswer::transportDomainDescriptor, void*, 0, void>, nop::MemberPointer, std::allocator >, std::vector >, std::hash, std::allocator > >, std::equal_to, std::allocator > >, std::allocator, std::allocator >, std::vector > > > > tensorpipe::BrochureAnswer::*, &tensorpipe::BrochureAnswer::channelRegistrationIds, void*, 0, void>, nop::MemberPointer, std::allocator >, std::unordered_map, std::allocator >, std::hash, std::equal_to, std::allocator, std::allocator > > > >, std::hash, std::allocator > >, std::equal_to, std::allocator > >, std::allocator, std::allocator >, std::unordered_map, std::allocator >, std::hash, std::equal_to, std::allocator, std::allocator > > > > > > > tensorpipe::BrochureAnswer::*, &tensorpipe::BrochureAnswer::channelDeviceDescriptors, void*, 0, void>, nop::MemberPointer, std::__cxx11::basic_string, std::allocator >, std::hash >, std::equal_to >, std::allocator, std::__cxx11::basic_string, std::allocator > > > > tensorpipe::BrochureAnswer::*, &tensorpipe::BrochureAnswer::channelForDevicePair, void*, 0, void> >; T = std::unordered_map; Class = tensorpipe::BrochureAnswer; T Class::* Pointer = &tensorpipe::BrochureAnswer::transportRegistrationIds]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/members.h:99:31: recursively required from ‘static constexpr nop::Status nop::Encoding::value, void>::type>::WriteMembers(const T&, Writer*, nop::Index) [with long unsigned int index = 6; Writer = tensorpipe::NopWriter; T = tensorpipe::BrochureAnswer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/members.h:99:31: required from ‘static constexpr nop::Status nop::Encoding::value, void>::type>::WriteMembers(const T&, Writer*, nop::Index) [with long unsigned int index = 7; Writer = tensorpipe::NopWriter; T = tensorpipe::BrochureAnswer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/members.h:59:26: required from ‘static constexpr nop::Status nop::Encoding::value, void>::type>::WritePayload(nop::EncodingByte, const T&, Writer*) [with Writer = tensorpipe::NopWriter; T = tensorpipe::BrochureAnswer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/encoding.h:120:39: required from ‘static constexpr nop::Status nop::EncodingIO::Write(const T&, Writer*) [with Writer = tensorpipe::NopWriter; T = tensorpipe::BrochureAnswer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/nop.h:232:35: required from ‘nop::Status tensorpipe::NopHolder::write(tensorpipe::NopWriter&) const [with T = tensorpipe::BrochureAnswer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/nop.h:231:21: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/map.h:142:35: warning: loop variable ‘element’ of type ‘const std::pair&’ binds to a temporary constructed from type ‘const std::__detail::_Node_const_iterator, false, false>::value_type’ {aka ‘const std::pair’} [-Wrange-loop-construct] /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/map.h:142:35: note: use non-reference type ‘const std::pair’ to make the copy explicit or ‘const std::__detail::_Node_const_iterator, false, false>::value_type&’ {aka ‘const std::pair&’} to prevent copying [ 18%] Building CXX object c10/CMakeFiles/c10.dir/util/complex_math.cpp.o [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-imagic-x3.c.o [ 18%] Building CXX object c10/CMakeFiles/c10.dir/util/flags_use_gflags.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-imagic-x3.c:21:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-imagic-x3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:290:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 290 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__scalar_imagic_x3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-imagic-x4.c.o [ 18%] Building CXX object c10/CMakeFiles/c10.dir/util/flags_use_no_gflags.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-imagic-x4.c:21:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-imagic-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:291:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 291 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__scalar_imagic_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building CXX object c10/CMakeFiles/c10.dir/util/int128.cpp.o [ 18%] Building CXX object c10/CMakeFiles/c10.dir/util/intrusive_ptr.cpp.o [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-lrintf-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-lrintf-x1.c:22:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-lrintf-x1.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:293:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 293 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__scalar_lrintf_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building CXX object c10/CMakeFiles/c10.dir/util/numa.cpp.o Compiling misc/nvmlwrap.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/misc/nvmlwrap.o [ 18%] Building CXX object c10/CMakeFiles/c10.dir/util/signal_handler.cpp.o [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-lrintf-x2.c.o [ 18%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/gemm_x8s8s32x_conv_zp_src_pad_comp.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-lrintf-x2.c:22:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-lrintf-x2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:294:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 294 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__scalar_lrintf_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-lrintf-x3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-lrintf-x3.c:22:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-lrintf-x3.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:295:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 295 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__scalar_lrintf_x3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-lrintf-x4.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.h:15, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of ‘TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::channel::xth::ChannelImpl; TOp = tensorpipe::channel::xth::SendOperation; int64_t = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:57:20: required from ‘void tensorpipe::OpsStateMachine::advanceOperation(Iter) [with TSubject = tensorpipe::channel::xth::ChannelImpl; TOp = tensorpipe::channel::xth::SendOperation]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.cc:65:28: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘std::deque >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 102 | if (offset < 0 || offset >= ops_.size()) { | ~~~~~~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-lrintf-x4.c:22:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-lrintf-x4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:296:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 296 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__scalar_lrintf_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.h:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro ‘unlikely’ 27 | #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:226:3: note: in expansion of macro ‘__TP_DCHECK_CMP’ 226 | __TP_DCHECK_CMP(a, b, op) | ^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro ‘_TP_DCHECK_CMP’ 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro ‘TP_DCHECK_EQ’ 106 | TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); | ^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of ‘TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::channel::xth::ChannelImpl; TOp = tensorpipe::channel::xth::RecvOperation; int64_t = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:57:20: required from ‘void tensorpipe::OpsStateMachine::advanceOperation(Iter) [with TSubject = tensorpipe::channel::xth::ChannelImpl; TOp = tensorpipe::channel::xth::RecvOperation]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.cc:157:28: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘std::deque >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 102 | if (offset < 0 || offset >= ops_.size()) { | ~~~~~~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro ‘unlikely’ 27 | #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:226:3: note: in expansion of macro ‘__TP_DCHECK_CMP’ 226 | __TP_DCHECK_CMP(a, b, op) | ^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro ‘_TP_DCHECK_CMP’ 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro ‘TP_DCHECK_EQ’ 106 | TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); | ^~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-lut64-p2-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-lut64-p2-x1.c:26:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-lut64-p2-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:205:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 205 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__scalar_rr2_lut64_p2_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-lut64-p2-x2-acc2.c.o [ 18%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/CuptiRangeProfiler.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-lut64-p2-x2-acc2.c:26:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-lut64-p2-x2-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:207:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 207 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__scalar_rr2_lut64_p2_x2_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building CXX object c10/CMakeFiles/c10.dir/util/thread_name.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/dnnl_thread.hpp:24, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/gemm_inner_product.cpp:18: In function ‘void dnnl::impl::utils::array_copy(T*, const T*, size_t) [with T = long int]’, inlined from ‘dnnl::impl::status_t dnnl::impl::memory_desc_init_by_blocking_desc(memory_desc_t&, const blocking_desc_t&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/type_helpers.hpp:789:22, inlined from ‘dnnl::impl::cpu::{anonymous}::transpose_md(dnnl::impl::memory_desc_t&)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/cpu_inner_product_pd.hpp:104:42: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:202:16: warning: ‘void* __builtin_memcpy(void*, const void*, long unsigned int)’ specified bound between 18446744056529682432 and 18446744073709551608 exceeds maximum object size 9223372036854775807 [-Wstringop-overflow=] 202 | dst[i] = src[i]; | ~~~~~~~^~~~~~ In function ‘void dnnl::impl::utils::array_copy(T*, const T*, size_t) [with T = long int]’, inlined from ‘dnnl::impl::status_t dnnl::impl::memory_desc_init_by_blocking_desc(memory_desc_t&, const blocking_desc_t&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/type_helpers.hpp:792:22, inlined from ‘dnnl::impl::cpu::{anonymous}::transpose_md(dnnl::impl::memory_desc_t&)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/cpu_inner_product_pd.hpp:104:42: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:202:16: warning: ‘void* __builtin_memcpy(void*, const void*, long unsigned int)’ specified bound between 18446744056529682432 and 18446744073709551608 exceeds maximum object size 9223372036854775807 [-Wstringop-overflow=] 202 | dst[i] = src[i]; | ~~~~~~~^~~~~~ [ 18%] Generating src/x86_64-fma/blas/s8gemm.py.o [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-lut64-p2-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-lut64-p2-x2.c:26:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-lut64-p2-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:206:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 206 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__scalar_rr2_lut64_p2_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-lut64-p2-x4-acc2.c.o [ 18%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/xth/context_impl.cc.o [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-lut64-p2-x4-acc4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-lut64-p2-x4-acc2.c:26:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-lut64-p2-x4-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:209:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 209 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__scalar_rr2_lut64_p2_x4_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-lut64-p2-x4-acc4.c:26:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-lut64-p2-x4-acc4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:210:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 210 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__scalar_rr2_lut64_p2_x4_acc4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-lut64-p2-x4.c.o [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-p5-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-lut64-p2-x4.c:26:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-lut64-p2-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:208:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 208 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__scalar_rr2_lut64_p2_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling misc/utils.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/misc/utils.o [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-p5-x2-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-p5-x1.c:23:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-p5-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:198:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 198 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__scalar_rr2_p5_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/xth/factory.cc.o [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-p5-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-p5-x2-acc2.c:23:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-p5-x2-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:200:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 200 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__scalar_rr2_p5_x2_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/CuptiRangeProfilerApi.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-p5-x2.c:23:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-p5-x4-acc2.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-p5-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:199:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 199 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__scalar_rr2_p5_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-p5-x4-acc4.c.o [ 18%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/patterns/quantize_fusion.cpp.o [ 18%] Building CXX object c10/CMakeFiles/c10.dir/util/typeid.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-p5-x4-acc2.c:23:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-p5-x4-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:202:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 202 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__scalar_rr2_p5_x4_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-p5-x4-acc4.c:23:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-p5-x4-acc4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:203:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 203 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__scalar_rr2_p5_x4_acc4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Generating src/x86_64-fma/blas/c8gemm.py.o [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-p5-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-p5-x4.c:23:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-p5-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:201:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 201 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__scalar_rr2_p5_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/CuptiRangeProfilerConfig.cpp.o [ 18%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/patterns/reduction_fusion.cpp.o [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-rmax/f32-rmax-scalar.c.o [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-spmm/gen/f32-spmm-1x1-minmax-scalar-pipelined.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-1x1-minmax-scalar-pipelined.c:25:39: warning: argument 9 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-1x1-minmax-scalar-pipelined.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:29:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 29 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:32:1: note: in expansion of macro ‘DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION’ 32 | DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_spmm_minmax_ukernel_1x1__scalar_pipelined) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-spmm/gen/f32-spmm-1x1-minmax-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-1x1-minmax-scalar.c:25:39: warning: argument 9 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-1x1-minmax-scalar.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:29:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 29 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:31:1: note: in expansion of macro ‘DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION’ 31 | DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_spmm_minmax_ukernel_1x1__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-spmm/gen/f32-spmm-2x1-minmax-scalar-pipelined.c.o [ 18%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/patterns/reorder_fusion.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-2x1-minmax-scalar-pipelined.c:25:39: warning: argument 9 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-2x1-minmax-scalar-pipelined.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:29:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 29 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:34:1: note: in expansion of macro ‘DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION’ 34 | DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_spmm_minmax_ukernel_2x1__scalar_pipelined) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Built target dnnl_graph_common [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-spmm/gen/f32-spmm-2x1-minmax-scalar.c.o [ 18%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/cma/channel_impl.cc.o [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-spmm/gen/f32-spmm-4x1-minmax-scalar-pipelined.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-4x1-minmax-scalar-pipelined.c:25:39: warning: argument 9 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-4x1-minmax-scalar-pipelined.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:29:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 29 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:42:1: note: in expansion of macro ‘DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION’ 42 | DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_spmm_minmax_ukernel_4x1__scalar_pipelined) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-2x1-minmax-scalar.c:25:39: warning: argument 9 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-2x1-minmax-scalar.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:29:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 29 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:33:1: note: in expansion of macro ‘DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION’ 33 | DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_spmm_minmax_ukernel_2x1__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-spmm/gen/f32-spmm-4x1-minmax-scalar.c.o [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-spmm/gen/f32-spmm-8x1-minmax-scalar-pipelined.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-8x1-minmax-scalar-pipelined.c:25:39: warning: argument 9 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-8x1-minmax-scalar-pipelined.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:29:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 29 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:63:1: note: in expansion of macro ‘DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION’ 63 | DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_spmm_minmax_ukernel_8x1__scalar_pipelined) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-4x1-minmax-scalar.c:25:39: warning: argument 9 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-4x1-minmax-scalar.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:29:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 29 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:41:1: note: in expansion of macro ‘DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION’ 41 | DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_spmm_minmax_ukernel_4x1__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/cma/context_impl.cc.o [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-spmm/gen/f32-spmm-8x1-minmax-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-8x1-minmax-scalar.c:25:39: warning: argument 9 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-8x1-minmax-scalar.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:29:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 29 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:62:1: note: in expansion of macro ‘DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION’ 62 | DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_spmm_minmax_ukernel_8x1__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Generating src/x86_64-fma/blas/s4c6gemm.py.o [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-spmm/gen/f32-spmm-8x2-minmax-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-8x2-minmax-scalar.c:25:39: warning: argument 9 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-8x2-minmax-scalar.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:29:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 29 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:76:1: note: in expansion of macro ‘DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION’ 76 | DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_spmm_minmax_ukernel_8x2__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/xth/context_impl.h:20, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/xth/context_impl.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/queue.h: In instantiation of ‘void tensorpipe::Queue::push(T) [with T = tensorpipe::optional]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/xth/context_impl.cc:68:17: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/queue.h:24:26: warning: comparison of integer expressions of different signedness: ‘std::deque, std::allocator > >::size_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 24 | while (items_.size() >= capacity_) { | ~~~~~~~~~~~~~~^~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-spmm/gen/f32-spmm-8x4-minmax-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-8x4-minmax-scalar.c:25:39: warning: argument 9 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-8x4-minmax-scalar.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:29:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 29 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:78:1: note: in expansion of macro ‘DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION’ 78 | DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_spmm_minmax_ukernel_8x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/CuptiRangeProfiler.cpp: In member function ‘void libkineto::CuptiRangeProfilerSession::addRangeEvents(const libkineto::CuptiProfilerResult&, const libkineto::CuptiRBProfilerSession*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/CuptiRangeProfiler.cpp:152:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 152 | if (num_kernels != result.rangeVals.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/CuptiRangeProfiler.cpp:182:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 182 | for (int i = 0; i < metricNames.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ [ 18%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/cma/factory.cc.o [ 18%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/mpt/channel_impl.cc.o [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-minmax-scalar-x1.c.o [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-minmax-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-minmax-scalar-x2.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-minmax-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:335:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 335 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vadd_minmax_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-minmax-scalar-x1.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-minmax-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:334:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 334 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vadd_minmax_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/CuptiNvPerfMetric.cpp.o [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-minmax-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-minmax-scalar-x4.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-minmax-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:336:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 336 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vadd_minmax_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-minmax-scalar-x8.c.o [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-relu-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-minmax-scalar-x8.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-minmax-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:337:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 337 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vadd_minmax_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-relu-scalar-x1.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-relu-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:420:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 420 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vadd_relu_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/Demangle.cpp.o [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-relu-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-relu-scalar-x2.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-relu-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:421:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 421 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vadd_relu_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-relu-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-relu-scalar-x4.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-relu-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:422:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 422 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vadd_relu_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/mpt/context_impl.cc.o [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-relu-scalar-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-relu-scalar-x8.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-relu-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:423:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 423 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vadd_relu_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cma/context_impl.cc:26: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h: In function ‘bool tensorpipe::isValidUuid(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h:58:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 58 | for (int i = 0; i < uuid.size(); i++) { | ~~^~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cma/context_impl.cc: In function ‘tensorpipe::Error tensorpipe::channel::cma::{anonymous}::callProcessVmReadv(void*, void*, size_t, pid_t)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cma/context_impl.cc:61:20: warning: comparison of integer expressions of different signedness: ‘ssize_t’ {aka ‘long int’} and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 61 | } else if (nread != length) { | ~~~~~~^~~~~~~~~ [ 18%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/patterns/shuffle_fusion.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-scalar-x1.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:248:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 248 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vadd_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Generating src/x86_64-fma/blas/conv1x1.py.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.h:15, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of ‘TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::channel::cma::ChannelImpl; TOp = tensorpipe::channel::cma::SendOperation; int64_t = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:57:20: required from ‘void tensorpipe::OpsStateMachine::advanceOperation(Iter) [with TSubject = tensorpipe::channel::cma::ChannelImpl; TOp = tensorpipe::channel::cma::SendOperation]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.cc:66:28: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘std::deque >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 102 | if (offset < 0 || offset >= ops_.size()) { | ~~~~~~~^~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.h:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro ‘unlikely’ 27 | #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:226:3: note: in expansion of macro ‘__TP_DCHECK_CMP’ 226 | __TP_DCHECK_CMP(a, b, op) | ^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro ‘_TP_DCHECK_CMP’ 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro ‘TP_DCHECK_EQ’ 106 | TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); | ^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of ‘TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::channel::cma::ChannelImpl; TOp = tensorpipe::channel::cma::RecvOperation; int64_t = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:57:20: required from ‘void tensorpipe::OpsStateMachine::advanceOperation(Iter) [with TSubject = tensorpipe::channel::cma::ChannelImpl; TOp = tensorpipe::channel::cma::RecvOperation]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.cc:160:28: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘std::deque >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 102 | if (offset < 0 || offset >= ops_.size()) { | ~~~~~~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro ‘unlikely’ 27 | #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:226:3: note: in expansion of macro ‘__TP_DCHECK_CMP’ 226 | __TP_DCHECK_CMP(a, b, op) | ^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro ‘_TP_DCHECK_CMP’ 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro ‘TP_DCHECK_EQ’ 106 | TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); | ^~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-scalar-x2.c.o [ 18%] Built target renamePURECFMA_SCALAR.h_generated [ 18%] Generating renamedsp128.h Compiling misc/argcheck.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/misc/argcheck.o [ 18%] Built target renamedsp128.h_generated [ 18%] Generating dispsse.c /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-scalar-x2.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:249:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 249 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vadd_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Generating renamedsp256.h [ 18%] Built target dispsse.c_generated [ 18%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/patterns/single_op_pattern.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cma/context_impl.h:20, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cma/context_impl.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/queue.h: In instantiation of ‘void tensorpipe::Queue::push(T) [with T = tensorpipe::optional]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cma/context_impl.cc:324:17: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/queue.h:24:26: warning: comparison of integer expressions of different signedness: ‘std::deque, std::allocator > >::size_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 24 | while (items_.size() >= capacity_) { | ~~~~~~~~~~~~~~^~~~~~~~~~~~ [ 18%] Built target renamedsp256.h_generated [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-scalar-x4.c.o [ 18%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/patterns/softmax_fusion.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-scalar-x4.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:250:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 250 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vadd_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/EventProfiler.cpp.o [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-scalar-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-scalar-x8.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:251:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 251 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vadd_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-minmax-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-minmax-scalar-x1.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-minmax-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:536:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 536 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vaddc_minmax_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-minmax-scalar-x2.c.o [ 18%] Generating src/x86_64-fma/blas/sgemm.py.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-minmax-scalar-x2.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-minmax-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:537:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 537 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vaddc_minmax_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-minmax-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-minmax-scalar-x4.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-minmax-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:538:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 538 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vaddc_minmax_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-minmax-scalar-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-minmax-scalar-x8.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-minmax-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:539:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 539 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vaddc_minmax_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/mpt/factory.cc.o [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-relu-scalar-x1.c.o [ 18%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/EventProfilerController.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-relu-scalar-x1.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-relu-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:668:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 668 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vaddc_relu_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-relu-scalar-x2.c.o [ 18%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_avx_f32_copy_an_kern_autogen.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.h:19, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of ‘TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::channel::mpt::ChannelImpl; TOp = tensorpipe::channel::mpt::SendOperation; int64_t = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:74:20: required from ‘void tensorpipe::OpsStateMachine::advanceAllOperations() [with TSubject = tensorpipe::channel::mpt::ChannelImpl; TOp = tensorpipe::channel::mpt::SendOperation]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.cc:131:32: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘std::deque >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 102 | if (offset < 0 || offset >= ops_.size()) { | ~~~~~~~^~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.h:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro ‘unlikely’ 27 | #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:226:3: note: in expansion of macro ‘__TP_DCHECK_CMP’ 226 | __TP_DCHECK_CMP(a, b, op) | ^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro ‘_TP_DCHECK_CMP’ 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro ‘TP_DCHECK_EQ’ 106 | TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); | ^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of ‘TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::channel::mpt::ChannelImpl; TOp = tensorpipe::channel::mpt::RecvOperation; int64_t = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:74:20: required from ‘void tensorpipe::OpsStateMachine::advanceAllOperations() [with TSubject = tensorpipe::channel::mpt::ChannelImpl; TOp = tensorpipe::channel::mpt::RecvOperation]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.cc:132:32: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘std::deque >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 102 | if (offset < 0 || offset >= ops_.size()) { | ~~~~~~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro ‘unlikely’ 27 | #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:226:3: note: in expansion of macro ‘__TP_DCHECK_CMP’ 226 | __TP_DCHECK_CMP(a, b, op) | ^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro ‘_TP_DCHECK_CMP’ 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro ‘TP_DCHECK_EQ’ 106 | TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); | ^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-relu-scalar-x2.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-relu-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:669:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 669 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vaddc_relu_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-relu-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-relu-scalar-x4.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-relu-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:670:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 670 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vaddc_relu_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-relu-scalar-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-relu-scalar-x8.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-relu-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:671:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 671 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vaddc_relu_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-scalar-x1.c.o [ 18%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/connection_impl.cc.o [ 18%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/gemm_x8s8s32x_convolution.cpp.o [ 18%] Generating src/x86_64-fma/max-pooling.py.o [ 18%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/gemm_x8s8s32x_convolution_utils.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-scalar-x1.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:280:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 280 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vaddc_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-scalar-x2.c.o [ 18%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/patterns/sum_fusion.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-scalar-x2.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:281:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 281 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vaddc_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-scalar-x4.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:282:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 282 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vaddc_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-scalar-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-scalar-x8.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:283:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 283 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vaddc_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-minmax-scalar-x1.c.o [ 18%] Generating src/x86_64-fma/relu.py.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-minmax-scalar-x1.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-minmax-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:357:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 357 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vdiv_minmax_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-minmax-scalar-x2.c.o [ 19%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/gemm_x8s8s32x_inner_product.cpp.o [ 19%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/context_impl.cc.o [ 19%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/WeakSymbols.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-minmax-scalar-x2.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-minmax-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:358:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 358 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vdiv_minmax_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/EventProfiler.cpp: In constructor ‘libkineto::EventGroupSet::EventGroupSet(CUpti_EventGroupSet&, std::map&, libkineto::CuptiEventApi&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/EventProfiler.cpp:166:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 166 | for (int g = 0; g < set.numEventGroups; g++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/EventProfiler.cpp: In member function ‘void libkineto::EventGroupSet::collectSample()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/EventProfiler.cpp:198:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 198 | for (int g = 0; g < set_.numEventGroups; g++) { | ~~^~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/EventProfiler.cpp:208:17: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘uint64_t’ {aka ‘long unsigned int’} [-Wsign-compare] 208 | if (v == CUPTI_EVENT_OVERFLOW) { | ^ [ 19%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/nchw_pooling.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/EventProfiler.cpp: In member function ‘void libkineto::EventGroupSet::printDescription(std::ostream&) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/EventProfiler.cpp:228:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 228 | for (int g = 0; g < set_.numEventGroups; g++) { | ~~^~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/EventProfiler.cpp: In member function ‘void libkineto::EventProfiler::initMetrics(const std::set >&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/EventProfiler.cpp:267:19: warning: comparison of integer expressions of different signedness: ‘CUpti_MetricID’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] 267 | if (metric_id == ~0) { | ~~~~~~~~~~^~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-minmax-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/EventProfiler.cpp: In member function ‘bool libkineto::EventProfiler::initEventGroups()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/EventProfiler.cpp:314:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 314 | for (int i = 0; i < eventGroupSets_->numSets; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Generating src/x86_64-fma/softmax.py.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/EventProfiler.cpp: In member function ‘void libkineto::EventProfiler::printSets(std::ostream&) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/EventProfiler.cpp:514:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 514 | for (int i = 0; i < sets_.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-minmax-scalar-x4.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-minmax-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:359:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 359 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vdiv_minmax_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/error.cc.o [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-minmax-scalar-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-minmax-scalar-x8.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-minmax-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:360:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 360 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vdiv_minmax_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-relu-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-relu-scalar-x1.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-relu-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:432:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 432 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vdiv_relu_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-relu-scalar-x2.c.o [ 19%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/factory.cc.o [ 19%] Generating dispavx.c /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-relu-scalar-x2.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-relu-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:433:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 433 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vdiv_relu_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-relu-scalar-x4.c.o [ 19%] Built target dispavx.c_generated [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/hardware-config.dir/src/hardware-config.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-relu-scalar-x4.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-relu-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:434:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 434 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vdiv_relu_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling misc/shmutils.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/misc/shmutils.o [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-relu-scalar-x8.c.o [ 19%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/ncsp_batch_normalization.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-relu-scalar-x8.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-relu-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:435:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 435 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vdiv_relu_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Built target hardware-config [ 19%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/nhwc_pooling.cpp.o [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-scalar-x1.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:256:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 256 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vdiv_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-scalar-x2.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:257:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 257 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vdiv_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-scalar-x4.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:258:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 258 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vdiv_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-scalar-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-scalar-x8.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:259:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 259 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vdiv_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdivc-minmax-scalar-x1.c.o Compiling misc/socket.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/misc/socket.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-minmax-scalar-x1.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-minmax-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:559:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 559 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vdivc_minmax_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building CXX object confu-deps/XNNPACK/CMakeFiles/jit.dir/src/jit/aarch32-assembler.cc.o [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdivc-minmax-scalar-x2.c.o [ 19%] Generating src/x86_64-fma/blas/sdotxf.py.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-minmax-scalar-x2.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-minmax-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:560:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 560 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vdivc_minmax_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdivc-minmax-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-minmax-scalar-x4.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-minmax-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:561:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 561 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vdivc_minmax_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdivc-minmax-scalar-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-minmax-scalar-x8.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-minmax-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:562:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 562 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vdivc_minmax_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdivc-relu-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-relu-scalar-x1.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-relu-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:680:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 680 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vdivc_relu_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdivc-relu-scalar-x2.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/uv/connection_impl.h:19, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/uv/connection_impl.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)’ defined but not used [-Wunused-function] 48 | void loadOneFdFromArray(int& src, Fd& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)’ defined but not used [-Wunused-function] 27 | void saveOneFdToArray(int& dst, const int& src) { | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-relu-scalar-x2.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-relu-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:681:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 681 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vdivc_relu_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdivc-relu-scalar-x4.c.o [ 19%] Building CXX object confu-deps/XNNPACK/CMakeFiles/jit.dir/src/jit/assembler.cc.o [ 19%] Building CXX object confu-deps/XNNPACK/CMakeFiles/jit.dir/src/jit/aarch64-assembler.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-relu-scalar-x4.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-relu-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:682:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 682 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vdivc_relu_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdivc-relu-scalar-x8.c.o Compiling enqueue.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/enqueue.o [ 19%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_avx_f32_copy_at_kern_autogen.cpp.o [ 19%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/listener_impl.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-relu-scalar-x8.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-relu-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:683:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 683 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vdivc_relu_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdivc-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/jit/aarch64-assembler.cc: In member function ‘void xnnpack::aarch64::Assembler::ldr(xnnpack::aarch64::XRegister, xnnpack::aarch64::MemOperand)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/jit/aarch64-assembler.cc:285:60: warning: comparison of integer expressions of different signedness: ‘const int32_t’ {aka ‘const int’} and ‘unsigned int’ [-Wsign-compare] 285 | if (xn.mode != AddressingMode::kOffset || imm < 0 || imm > (kUint12Max << 3) || (imm & 7) != 0) { | ~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/jit/aarch64-assembler.cc: In member function ‘void xnnpack::aarch64::Assembler::str(xnnpack::aarch64::SRegister, xnnpack::aarch64::MemOperand)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/jit/aarch64-assembler.cc:644:22: warning: comparison of integer expressions of different signedness: ‘const int32_t’ {aka ‘const int’} and ‘unsigned int’ [-Wsign-compare] 644 | if (imm < 0 || imm > (kUint12Max << 2) || (imm & 0x3) != 0) { | ~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-scalar-x1.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:288:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 288 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vdivc_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Built target fbgemm_avx512 In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/uv/uv.h:18, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/uv/error.cc:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)’ defined but not used [-Wunused-function] 48 | void loadOneFdFromArray(int& src, Fd& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)’ defined but not used [-Wunused-function] 27 | void saveOneFdToArray(int& dst, const int& src) { | ^~~~~~~~~~~~~~~~ [ 19%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/loop.cc.o [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdivc-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-scalar-x2.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:289:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 289 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vdivc_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/cache.dir/src/cache.c.o [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdivc-scalar-x4.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/uv/uv.h:18, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/uv/loop.h:21, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/uv/context_impl.h:18, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/uv/context_impl.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)’ defined but not used [-Wunused-function] 48 | void loadOneFdFromArray(int& src, Fd& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)’ defined but not used [-Wunused-function] 27 | void saveOneFdToArray(int& dst, const int& src) { | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-scalar-x4.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:290:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 290 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vdivc_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Generating src/x86_64-fma/blas/shdotxf.py.o [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdivc-scalar-x8.c.o [ 19%] Built target cache /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-scalar-x8.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:291:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 291 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vdivc_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/post-operation.dir/src/operators/post-operation.c.o [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmax-scalar-x1.c.o [ 19%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/sockaddr.cc.o [ 19%] Built target jit /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmax-scalar-x1.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmax-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:192:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 192 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmax_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Built target post-operation [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmax-scalar-x2.c.o [ 19%] Building C object sleef/src/libm/CMakeFiles/sleefdetavx512fnofma.dir/sleefsimdsp.c.o [ 19%] Building C object sleef/src/libm/CMakeFiles/sleefavx512fnofma.dir/sleefsimdsp.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmax-scalar-x2.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmax-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:193:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 193 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmax_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object sleef/src/libm/CMakeFiles/sleefavx512fnofma.dir/sleefsimddp.c.o [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmax-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmax-scalar-x4.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmax-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:194:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 194 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmax_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object sleef/src/libm/CMakeFiles/sleefdetavx512fnofma.dir/sleefsimddp.c.o [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmax-scalar-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmax-scalar-x8.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmax-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:195:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 195 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmax_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmaxc-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmaxc-scalar-x1.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmaxc-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:474:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 474 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmaxc_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:27, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:20, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.cpp:17: In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Address]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Address]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:19, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Address]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Address]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 16 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 16 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Address]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Address]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Address]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Address]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Address]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Address]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 16 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 16 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘bool Xbyak::Address::is32bit() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1275:51, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2253:33, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Address]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Address]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::isBroadcast() const’, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2256:101, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Address]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1284:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1284 | bool isBroadcast() const { return broadcast_; } | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Address]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::isBroadcast() const’, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2260:25, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Address]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1284:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1284 | bool isBroadcast() const { return broadcast_; } | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Address]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmaxc-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmaxc-scalar-x2.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmaxc-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:475:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 475 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmaxc_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmaxc-scalar-x4.c.o [ 19%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/utility.cc.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/uv/uv.h:18, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/uv/loop.h:21, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/uv/loop.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)’ defined but not used [-Wunused-function] 48 | void loadOneFdFromArray(int& src, Fd& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)’ defined but not used [-Wunused-function] 27 | void saveOneFdToArray(int& dst, const int& src) { | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmaxc-scalar-x4.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmaxc-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:476:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 476 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmaxc_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmaxc-scalar-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmaxc-scalar-x8.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmaxc-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:477:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 477 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmaxc_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmin-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmin-scalar-x1.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmin-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:215:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 215 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmin_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmin-scalar-x2.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/uv/connection_impl.h:19, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/uv/factory.cc:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)’ defined but not used [-Wunused-function] 48 | void loadOneFdFromArray(int& src, Fd& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)’ defined but not used [-Wunused-function] 27 | void saveOneFdToArray(int& dst, const int& src) { | ^~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)’ defined but not used [-Wunused-function] 48 | void loadOneFdFromArray(int& src, Fd& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)’ defined but not used [-Wunused-function] 27 | void saveOneFdToArray(int& dst, const int& src) { | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmin-scalar-x2.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmin-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:216:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 216 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmin_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmin-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmin-scalar-x4.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmin-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:217:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 217 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmin_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Linking CXX static library ../../../lib/libprotobuf.a [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmin-scalar-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmin-scalar-x8.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmin-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:218:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 218 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmin_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/nspc_batch_normalization.cpp.o [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vminc-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vminc-scalar-x1.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vminc-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:497:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 497 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vminc_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/FbgemmFP16.cc.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/uv/listener_impl.h:16, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/uv/listener_impl.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)’ defined but not used [-Wunused-function] 48 | void loadOneFdFromArray(int& src, Fd& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)’ defined but not used [-Wunused-function] 27 | void saveOneFdToArray(int& dst, const int& src) { | ^~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vminc-scalar-x2.c.o [ 19%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/cupti_strings.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vminc-scalar-x2.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vminc-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:498:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 498 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vminc_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vminc-scalar-x4.c.o [ 19%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/platform.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vminc-scalar-x4.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vminc-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:499:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 499 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vminc_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/AbstractConfig.cpp.o [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vminc-scalar-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vminc-scalar-x8.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vminc-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:500:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 500 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vminc_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/CuptiActivityProfiler.cpp.o [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-minmax-scalar-x1.c.o [ 19%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/epoll_loop.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-minmax-scalar-x1.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-minmax-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:380:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 380 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmul_minmax_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-minmax-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-minmax-scalar-x2.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-minmax-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:381:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 381 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmul_minmax_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Linking CXX shared library ../lib/libc10.so [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-minmax-scalar-x4.c.o [ 19%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/ActivityProfilerController.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-minmax-scalar-x4.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-minmax-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:382:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 382 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmul_minmax_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-minmax-scalar-x8.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/uv/utility.cc:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)’ defined but not used [-Wunused-function] 48 | void loadOneFdFromArray(int& src, Fd& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)’ defined but not used [-Wunused-function] 27 | void saveOneFdToArray(int& dst, const int& src) { | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-minmax-scalar-x8.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-minmax-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:383:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 383 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmul_minmax_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:19, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 16 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 16 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 16 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 16 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘bool Xbyak::Address::is32bit() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1275:51, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2253:33, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/shm_segment.cc.o In member function ‘bool Xbyak::Address::isBroadcast() const’, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2260:25, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1284:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1284 | bool isBroadcast() const { return broadcast_; } | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-relu-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-relu-scalar-x1.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-relu-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:444:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 444 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vmul_relu_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-relu-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-relu-scalar-x2.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-relu-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:445:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 445 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vmul_relu_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Built target libprotobuf [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-relu-scalar-x4.c.o [ 19%] Building C object sleef/src/libm/CMakeFiles/sleefavx512f.dir/sleefsimdsp.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-relu-scalar-x4.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-relu-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:446:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 446 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vmul_relu_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-relu-scalar-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-relu-scalar-x8.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-relu-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:447:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 447 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vmul_relu_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/AbstractConfig.cpp: In member function ‘std::string libkineto::AbstractConfig::toLower(std::string&) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/AbstractConfig.cpp:74:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 74 | for (int i = 0; i < res.size(); i++) { | ~~^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/AbstractConfig.cpp: In member function ‘bool libkineto::AbstractConfig::toBool(std::string&) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/AbstractConfig.cpp:122:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::array, 8>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 122 | for (int i = 0; i < bool_vals.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~ [ 19%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/shm/connection_impl.cc.o [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-scalar-x1.c.o [ 19%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/primitive_attr_postops.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-scalar-x1.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:264:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 264 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmul_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-scalar-x2.c.o [ 19%] Built target sleefdetavx512fnofma [ 19%] Building C object sleef/src/libm/CMakeFiles/sleefdetavx512f.dir/sleefsimdsp.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-scalar-x2.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:265:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 265 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmul_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-scalar-x4.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:266:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 266 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmul_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Built target c10 [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-scalar-x8.c.o [ 19%] Building C object sleef/src/libm/CMakeFiles/sleefdetavx512f.dir/sleefsimddp.c.o [ 19%] Building C object confu-deps/NNPACK/CMakeFiles/nnpack.dir/src/init.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-scalar-x8.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:267:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 267 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmul_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmulc-minmax-scalar-x1.c.o [ 19%] Building C object sleef/src/libm/CMakeFiles/sleefavx512f.dir/sleefsimddp.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-minmax-scalar-x1.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-minmax-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:605:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 605 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmulc_minmax_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/NNPACK/CMakeFiles/nnpack.dir/src/convolution-inference.c.o [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmulc-minmax-scalar-x2.c.o [ 19%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_avx_f32_copy_bn_kern_autogen.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/src/convolution-inference.c:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/include/nnpack/system.h: In function ‘read_timer’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/include/nnpack/system.h:22:13: warning: unused variable ‘result’ [-Wunused-variable] 22 | int result = clock_gettime(CLOCK_MONOTONIC, &ts); | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-minmax-scalar-x2.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-minmax-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:606:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 606 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmulc_minmax_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/src/convolution-inference.c: In function ‘compute_kernel_packing’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/src/convolution-inference.c:269:22: warning: unused variable ‘reduction_block_start’ [-Wunused-variable] 269 | const size_t reduction_block_start = context->reduction_block_start; | ^~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmulc-minmax-scalar-x4.c.o [ 19%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/ref_batch_normalization.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-minmax-scalar-x4.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-minmax-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:607:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 607 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmulc_minmax_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmulc-minmax-scalar-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-minmax-scalar-x8.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-minmax-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:608:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 608 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmulc_minmax_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmulc-relu-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-relu-scalar-x1.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-relu-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:704:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 704 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vmulc_relu_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmulc-relu-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-relu-scalar-x2.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-relu-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:705:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 705 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vmulc_relu_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object sleef/src/libm/CMakeFiles/sleefavx2.dir/sleefsimdsp.c.o [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmulc-relu-scalar-x4.c.o [ 19%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/shm/context_impl.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-relu-scalar-x4.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-relu-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:706:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 706 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vmulc_relu_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmulc-relu-scalar-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-relu-scalar-x8.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-relu-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:707:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 707 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vmulc_relu_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmulc-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-scalar-x1.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:296:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 296 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmulc_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmulc-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-scalar-x2.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:297:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 297 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmulc_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/NNPACK/CMakeFiles/nnpack.dir/src/fully-connected-inference.c.o [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmulc-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-scalar-x4.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:298:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 298 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmulc_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/NNPACK/CMakeFiles/nnpack.dir/src/pooling-output.c.o [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmulc-scalar-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/src/pooling-output.c: In function ‘compute_max_pooling_forward_2x2_2x2__avx2’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/src/pooling-output.c:94:30: warning: unused variable ‘output_row_count’ [-Wunused-variable] 94 | const size_t output_row_count = min(output_tile.height, output_height - y); | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-scalar-x8.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:299:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 299 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmulc_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-minmax-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-minmax-scalar-x1.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-minmax-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:582:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 582 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vrdivc_minmax_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-minmax-scalar-x2.c.o [ 19%] Building C object confu-deps/NNPACK/CMakeFiles/nnpack.dir/src/relu-output.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-minmax-scalar-x2.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-minmax-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:583:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 583 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vrdivc_minmax_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-minmax-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-minmax-scalar-x4.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-minmax-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:584:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 584 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vrdivc_minmax_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/NNPACK/CMakeFiles/nnpack.dir/src/softmax-output.c.o [ 19%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/shm/factory.cc.o [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-minmax-scalar-x8.c.o [ 19%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/shm/listener_impl.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-minmax-scalar-x8.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-minmax-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:585:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 585 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vrdivc_minmax_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/NNPACK/CMakeFiles/nnpack.dir/src/fully-connected-output.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/src/fully-connected-output.c:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/include/nnpack/system.h: In function ‘read_timer’: [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-relu-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/include/nnpack/system.h:22:13: warning: unused variable ‘result’ [-Wunused-variable] 22 | int result = clock_gettime(CLOCK_MONOTONIC, &ts); | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/src/fully-connected-output.c: In function ‘compute_matrix_multiplication’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/src/fully-connected-output.c:115:22: warning: unused variable ‘simd_width’ [-Wunused-variable] 115 | const size_t simd_width = context->simd_width; | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-relu-scalar-x1.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-relu-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:692:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 692 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vrdivc_relu_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-relu-scalar-x2.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.h:21, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h: In instantiation of ‘tensorpipe::Error tensorpipe::recvFromSocket(int, T&, T&, Fds& ...) [with T = unsigned int; Fds = {Fd, Fd, Fd, Fd}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:253:26: required from ‘tensorpipe::Error tensorpipe::Socket::recvPayloadAndFds(T&, T&, Fds& ...) [with T = unsigned int; Fds = {tensorpipe::Fd, tensorpipe::Fd, tensorpipe::Fd, tensorpipe::Fd}; typename std::enable_if::value, bool>::type = false]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.cc:219:41: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:154:12: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | if (rv != iov.iov_len) { | ~~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h: In instantiation of ‘tensorpipe::Error tensorpipe::sendToSocket(int, const T&, const T&, const Fds& ...) [with T = unsigned int; Fds = {int, int, int, int}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:243:24: required from ‘tensorpipe::Error tensorpipe::Socket::sendPayloadAndFds(const T&, const T&, const Fds& ...) [with T = unsigned int; Fds = {int, int, int, int}; typename std::enable_if::value, bool>::type = false]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.cc:274:41: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:107:12: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 107 | if (rv != iov.iov_len) { | ~~~^~~~~~~~~~~~~~ [ 20%] Building C object confu-deps/NNPACK/CMakeFiles/nnpack.dir/src/relu-input-gradient.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-relu-scalar-x2.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-relu-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:693:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 693 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vrdivc_relu_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-relu-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-relu-scalar-x4.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-relu-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:694:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 694 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vrdivc_relu_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Building C object confu-deps/NNPACK/CMakeFiles/nnpack.dir/src/convolution-input-gradient.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h: In instantiation of ‘void tensorpipe::{anonymous}::loadFdsFromArray(int*, std::index_sequence, Fds& ...) [with long unsigned int ...Idxs = {0, 1, 2, 3}; Fds = {tensorpipe::Fd, tensorpipe::Fd, tensorpipe::Fd, tensorpipe::Fd}; std::index_sequence = std::integer_sequence]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:171:19: required from ‘tensorpipe::Error tensorpipe::recvFromSocket(int, T&, T&, Fds& ...) [with T = unsigned int; Fds = {Fd, Fd, Fd, Fd}]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:253:26: required from ‘tensorpipe::Error tensorpipe::Socket::recvPayloadAndFds(T&, T&, Fds& ...) [with T = unsigned int; Fds = {tensorpipe::Fd, tensorpipe::Fd, tensorpipe::Fd, tensorpipe::Fd}; typename std::enable_if::value, bool>::type = false]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.cc:219:41: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:58:8: warning: unused variable ‘dummy’ [-Wunused-variable] 58 | auto dummy = {(loadOneFdFromArray(array[Idxs], fds), 0)...}; | ^~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/src/convolution-input-gradient.c:8: /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/include/nnpack/system.h: In function ‘read_timer’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/include/nnpack/system.h:22:13: warning: unused variable ‘result’ [-Wunused-variable] 22 | int result = clock_gettime(CLOCK_MONOTONIC, &ts); | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h: In instantiation of ‘void tensorpipe::{anonymous}::saveFdsToArray(int*, std::index_sequence, const Fds& ...) [with long unsigned int ...Idxs = {0, 1, 2, 3}; Fds = {int, int, int, int}; std::index_sequence = std::integer_sequence]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:96:17: required from ‘tensorpipe::Error tensorpipe::sendToSocket(int, const T&, const T&, const Fds& ...) [with T = unsigned int; Fds = {int, int, int, int}]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:243:24: required from ‘tensorpipe::Error tensorpipe::Socket::sendPayloadAndFds(const T&, const T&, const Fds& ...) [with T = unsigned int; Fds = {int, int, int, int}; typename std::enable_if::value, bool>::type = false]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.cc:274:41: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:41:8: warning: unused variable ‘dummy’ [-Wunused-variable] 41 | auto dummy = {(saveOneFdToArray(array[Idxs], fds), 0)...}; | ^~~~~ [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-relu-scalar-x8.c.o In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:19, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 16 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 16 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 16 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 16 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘bool Xbyak::Address::is32bit() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1275:51, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2253:33, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::isBroadcast() const’, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2260:25, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1284:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1284 | bool isBroadcast() const { return broadcast_; } | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/ref_binary.cpp.o [ 20%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/ref_convolution.cpp.o Compiling misc/param.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/misc/param.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-relu-scalar-x8.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-relu-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:695:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 695 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vrdivc_relu_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-scalar-x1.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:304:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 304 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vrdivc_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/ref_convolution_int8.cpp.o [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-scalar-x2.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:305:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 305 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vrdivc_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-scalar-x4.c.o [ 20%] Building C object confu-deps/NNPACK/CMakeFiles/nnpack.dir/src/convolution-kernel-gradient.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-scalar-x4.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:306:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 306 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vrdivc_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/src/convolution-kernel-gradient.c:8: /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/include/nnpack/system.h: In function ‘read_timer’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/include/nnpack/system.h:22:13: warning: unused variable ‘result’ [-Wunused-variable] 22 | int result = clock_gettime(CLOCK_MONOTONIC, &ts); | ^~~~~~ [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-scalar-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/src/convolution-kernel-gradient.c: In function ‘compute_matrix_multiplication’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/src/convolution-kernel-gradient.c:177:22: warning: unused variable ‘output_channels’ [-Wunused-variable] 177 | const size_t output_channels = context->output_channels; | ^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/src/convolution-kernel-gradient.c:175:22: warning: unused variable ‘input_channels_block_size’ [-Wunused-variable] 175 | const size_t input_channels_block_size = context->input_channels_block_size; | ^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/src/convolution-kernel-gradient.c:170:22: warning: unused variable ‘batch_size’ [-Wunused-variable] 170 | const size_t batch_size = context->batch_size; | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-scalar-x8.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:307:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 307 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vrdivc_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-minmax-scalar-x1.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.h:21, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/shm/context_impl.cc:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)’ defined but not used [-Wunused-function] 48 | void loadOneFdFromArray(int& src, Fd& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)’ defined but not used [-Wunused-function] 27 | void saveOneFdToArray(int& dst, const int& src) { | ^~~~~~~~~~~~~~~~ Compiling misc/strongstream.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/misc/strongstream.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-minmax-scalar-x1.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-minmax-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:651:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 651 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vrsubc_minmax_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-minmax-scalar-x2.c.o [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-minmax-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-minmax-scalar-x2.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-minmax-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:652:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 652 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vrsubc_minmax_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Built target sleefdetavx512f /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-minmax-scalar-x4.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-minmax-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:653:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 653 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vrsubc_minmax_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Building C object sleef/src/libm/CMakeFiles/sleefavx2.dir/sleefsimddp.c.o [ 20%] Building C object sleef/src/libm/CMakeFiles/sleefdetavx2.dir/sleefsimdsp.c.o [ 20%] Building C object confu-deps/NNPACK/CMakeFiles/nnpack.dir/src/convolution-output.c.o [ 20%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/shm/reactor.cc.o [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-minmax-scalar-x8.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/src/convolution-output.c:8: /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/include/nnpack/system.h: In function ‘read_timer’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/include/nnpack/system.h:22:13: warning: unused variable ‘result’ [-Wunused-variable] 22 | int result = clock_gettime(CLOCK_MONOTONIC, &ts); | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-minmax-scalar-x8.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-minmax-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:654:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 654 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vrsubc_minmax_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/src/convolution-output.c: In function ‘compute_output_transform’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/src/convolution-output.c:139:22: warning: unused variable ‘column_offset’ [-Wunused-variable] 139 | const size_t column_offset = context->column_offset; | ^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/src/convolution-output.c:137:22: warning: unused variable ‘row_offset’ [-Wunused-variable] 137 | const size_t row_offset = context->row_offset; | ^~~~~~~~~~ [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-relu-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-relu-scalar-x1.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-relu-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:728:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 728 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vrsubc_relu_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-relu-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-relu-scalar-x2.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-relu-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:729:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 729 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vrsubc_relu_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-relu-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-relu-scalar-x4.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-relu-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:730:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 730 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vrsubc_relu_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_avx_f32_copy_bt_kern_autogen.cpp.o [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-relu-scalar-x8.c.o [ 20%] Building C object confu-deps/NNPACK/CMakeFiles/nnpack.dir/src/x86_64-fma/softmax.c.o Compiling misc/profiler.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/misc/profiler.o [ 20%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/ActivityProfilerProxy.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-relu-scalar-x8.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-relu-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:731:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 731 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vrsubc_relu_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/src/x86_64-fma/softmax.c:15:21: warning: argument 2 of type ‘const float[restrict static n]’ declared as a variable length array [-Wvla-parameter] 15 | const float x[restrict static n], | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/src/x86_64-fma/softmax.c:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/include/nnpack/softmax.h:13:47: note: previously declared as a pointer ‘const float *’ 13 | void nnp_softmax__avx2(size_t n, const float* x, float* y); | ~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/src/x86_64-fma/softmax.c:16:15: warning: argument 3 of type ‘float[restrict static n]’ declared as a variable length array [-Wvla-parameter] 16 | float y[restrict static n]) | ~~~~~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/include/nnpack/softmax.h:13:57: note: previously declared as a pointer ‘float *’ 13 | void nnp_softmax__avx2(size_t n, const float* x, float* y); | ~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/src/x86_64-fma/softmax.c:26:15: warning: argument 2 of type ‘float[restrict static n]’ declared as a variable length array [-Wvla-parameter] 26 | float v[restrict static n]) | ~~~~~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/include/nnpack/softmax.h:14:49: note: previously declared as a pointer ‘float *’ 14 | void nnp_inplace_softmax__avx2(size_t n, float* v); | ~~~~~~~^ [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-scalar-x2.c.o [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-scalar-x1.c.o [ 20%] Linking C static library ../../lib/libnnpack.a /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-scalar-x2.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:313:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 313 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vrsubc_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-scalar-x4.c.o [ 20%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/shm/sockaddr.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-scalar-x1.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:312:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 312 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vrsubc_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-scalar-x8.c.o [ 20%] Building C object sleef/src/libm/CMakeFiles/sleefdetavx2.dir/sleefsimddp.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-scalar-x4.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:314:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 314 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vrsubc_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Built target nnpack [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiff-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-scalar-x8.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:315:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 315 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vrsubc_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Building C object sleef/src/libm/CMakeFiles/sleefavx2128.dir/sleefsimdsp.c.o [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiff-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiff-scalar-x1.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiff-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:238:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 238 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsqrdiff_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_avx_gemm_f32.cpp.o [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiff-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiff-scalar-x2.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiff-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:239:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 239 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsqrdiff_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiff-scalar-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiff-scalar-x4.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiff-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:240:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 240 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsqrdiff_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Ymm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Ymm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:19, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Ymm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Ymm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 16 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 16 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Ymm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Ymm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Ymm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Ymm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Ymm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Ymm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 16 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 16 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘bool Xbyak::Address::is32bit() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1275:51, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2253:33, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Ymm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Ymm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::isBroadcast() const’, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2256:101, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Ymm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1284:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1284 | bool isBroadcast() const { return broadcast_; } | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Ymm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::isBroadcast() const’, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2260:25, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Ymm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1284:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1284 | bool isBroadcast() const { return broadcast_; } | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Ymm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_avx_gemv_t_f32_kern.cpp.o [ 20%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/ibv.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiff-scalar-x8.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiff-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:241:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 241 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsqrdiff_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.h:21, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/shm/factory.cc:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)’ defined but not used [-Wunused-function] 48 | void loadOneFdFromArray(int& src, Fd& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)’ defined but not used [-Wunused-function] 27 | void saveOneFdToArray(int& dst, const int& src) { | ^~~~~~~~~~~~~~~~ [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiffc-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiffc-scalar-x1.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiffc-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:520:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 520 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsqrdiffc_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/connection_impl.cc.o [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiffc-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiffc-scalar-x2.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiffc-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:521:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 521 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsqrdiffc_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiffc-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiffc-scalar-x4.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiffc-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:522:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 522 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsqrdiffc_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiffc-scalar-x8.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/shm/sockaddr.h:20, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/shm/sockaddr.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)’ defined but not used [-Wunused-function] 48 | void loadOneFdFromArray(int& src, Fd& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)’ defined but not used [-Wunused-function] 27 | void saveOneFdToArray(int& dst, const int& src) { | ^~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/busy_polling_loop.h:16, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/shm/reactor.h:20, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/shm/reactor.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/ringbuffer_role.h: In instantiation of ‘ssize_t tensorpipe::RingBufferRole::write(const void*, size_t) [with int NumRoles = 2; int RoleIdx = 1; ssize_t = long int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/shm/reactor.cc:22:29: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro ‘unlikely’ 27 | #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:226:3: note: in expansion of macro ‘__TP_DCHECK_CMP’ 226 | __TP_DCHECK_CMP(a, b, op) | ^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro ‘_TP_DCHECK_CMP’ 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/ringbuffer_role.h:270:5: note: in expansion of macro ‘TP_DCHECK_EQ’ 270 | TP_DCHECK_EQ(ret, size); | ^~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/shm/listener_impl.h:16, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/shm/listener_impl.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)’ defined but not used [-Wunused-function] 48 | void loadOneFdFromArray(int& src, Fd& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)’ defined but not used [-Wunused-function] 27 | void saveOneFdToArray(int& dst, const int& src) { | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiffc-scalar-x8.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiffc-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:523:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 523 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsqrdiffc_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/ringbuffer_role.h: In instantiation of ‘ssize_t tensorpipe::RingBufferRole::read(void*, size_t) [with int NumRoles = 2; int RoleIdx = 0; ssize_t = long int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/shm/reactor.cc:114:34: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro ‘unlikely’ 27 | #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:226:3: note: in expansion of macro ‘__TP_DCHECK_CMP’ 226 | __TP_DCHECK_CMP(a, b, op) | ^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro ‘_TP_DCHECK_CMP’ 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/ringbuffer_role.h:248:5: note: in expansion of macro ‘TP_DCHECK_EQ’ 248 | TP_DCHECK_EQ(ret, size); | ^~~~~~~~~~~~ [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsub-minmax-scalar-x1.c.o [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsub-minmax-scalar-x2.c.o [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsub-minmax-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-minmax-scalar-x4.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-minmax-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:405:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 405 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vsub_minmax_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-minmax-scalar-x1.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-minmax-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:403:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 403 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vsub_minmax_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-minmax-scalar-x2.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-minmax-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:404:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 404 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vsub_minmax_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsub-minmax-scalar-x8.c.o [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsub-relu-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-minmax-scalar-x8.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-minmax-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:406:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 406 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vsub_minmax_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-relu-scalar-x1.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_avx_kernel_b0_sgemm_kern_part1_autogen.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-relu-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:456:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 456 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vsub_relu_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsub-relu-scalar-x2.c.o [ 20%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/context_impl.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-relu-scalar-x2.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-relu-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:457:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 457 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vsub_relu_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsub-relu-scalar-x4.c.o [ 20%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/ref_deconvolution.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-relu-scalar-x4.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-relu-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:458:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 458 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vsub_relu_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsub-relu-scalar-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-relu-scalar-x8.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-relu-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:459:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 459 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vsub_relu_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/error.cc.o [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsub-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-scalar-x1.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:272:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 272 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsub_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsub-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-scalar-x2.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:273:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 273 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsub_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsub-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-scalar-x4.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:274:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 274 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsub_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsub-scalar-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-scalar-x8.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:275:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 275 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsub_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/factory.cc.o [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsubc-minmax-scalar-x1.c.o [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsubc-minmax-scalar-x2.c.o In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:19, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 16 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 16 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 16 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 16 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘bool Xbyak::Address::is32bit() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1275:51, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2253:33, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::isBroadcast() const’, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2256:101, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1284:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1284 | bool isBroadcast() const { return broadcast_; } | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::isBroadcast() const’, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2260:25, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1284:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1284 | bool isBroadcast() const { return broadcast_; } | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-minmax-scalar-x1.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-minmax-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:628:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 628 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vsubc_minmax_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-minmax-scalar-x2.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-minmax-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:629:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 629 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vsubc_minmax_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsubc-minmax-scalar-x4.c.o [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsubc-minmax-scalar-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-minmax-scalar-x4.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-minmax-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:630:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 630 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vsubc_minmax_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/ref_eltwise.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-minmax-scalar-x8.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-minmax-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:631:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 631 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vsubc_minmax_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Built target sleefavx512fnofma [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsubc-relu-scalar-x1.c.o [ 20%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/ref_inner_product.cpp.o [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsubc-relu-scalar-x2.c.o [ 20%] Built target sleefavx512f /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-relu-scalar-x2.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-relu-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:717:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 717 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vsubc_relu_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-relu-scalar-x1.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-relu-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:716:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 716 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vsubc_relu_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsubc-relu-scalar-x4.c.o [ 20%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/FbgemmFloat16Convert.cc.o [ 20%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_avx_kernel_b0_sgemm_kern_part2_autogen.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-relu-scalar-x4.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-relu-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:718:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 718 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vsubc_relu_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsubc-relu-scalar-x8.c.o [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsubc-scalar-x1.c.o Compiling transport/shm.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/transport/shm.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-relu-scalar-x8.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-relu-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:719:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 719 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vsubc_relu_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-scalar-x1.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:320:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 320 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsubc_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/FbgemmI64.cc.o [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsubc-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-scalar-x2.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:321:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 321 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsubc_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsubc-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-scalar-x4.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:322:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 322 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsubc_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsubc-scalar-x8.c.o [ 20%] Built target sleefdetavx2 /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-scalar-x8.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:323:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 323 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsubc_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_avx_kernel_sgemm_kern_part1_autogen.cpp.o [ 20%] Building C object sleef/src/libm/CMakeFiles/sleefdetavx2128.dir/sleefsimdsp.c.o [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vclamp/gen/f32-vclamp-scalar-x1.c.o [ 20%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/FbgemmSparseDense.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vclamp/gen/f32-vclamp-scalar-x1.c:21:39: warning: argument 4 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vclamp/gen/f32-vclamp-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:240:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 240 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:248:1: note: in expansion of macro ‘DECLARE_F32_VCLAMP_UKERNEL_FUNCTION’ 248 | DECLARE_F32_VCLAMP_UKERNEL_FUNCTION(xnn_f32_vclamp_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vclamp/gen/f32-vclamp-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vclamp/gen/f32-vclamp-scalar-x2.c:21:39: warning: argument 4 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vclamp/gen/f32-vclamp-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:240:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 240 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:249:1: note: in expansion of macro ‘DECLARE_F32_VCLAMP_UKERNEL_FUNCTION’ 249 | DECLARE_F32_VCLAMP_UKERNEL_FUNCTION(xnn_f32_vclamp_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/listener_impl.cc.o [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vclamp/gen/f32-vclamp-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vclamp/gen/f32-vclamp-scalar-x4.c:21:39: warning: argument 4 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vclamp/gen/f32-vclamp-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:240:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 240 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:250:1: note: in expansion of macro ‘DECLARE_F32_VCLAMP_UKERNEL_FUNCTION’ 250 | DECLARE_F32_VCLAMP_UKERNEL_FUNCTION(xnn_f32_vclamp_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-scalar-rr2-lut16-p3-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-scalar-rr2-lut16-p3-x1.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-scalar-rr2-lut16-p3-x1.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:478:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 478 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__scalar_rr2_lut16_p3_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-scalar-rr2-lut16-p3-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-scalar-rr2-lut16-p3-x2.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-scalar-rr2-lut16-p3-x2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:479:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 479 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__scalar_rr2_lut16_p3_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-scalar-rr2-lut16-p3-x3.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/ibv/connection_impl.h:23, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/ibv/context_impl.cc:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)’ defined but not used [-Wunused-function] 48 | void loadOneFdFromArray(int& src, Fd& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)’ defined but not used [-Wunused-function] 27 | void saveOneFdToArray(int& dst, const int& src) { | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-scalar-rr2-lut16-p3-x3.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-scalar-rr2-lut16-p3-x3.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:480:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 480 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__scalar_rr2_lut16_p3_x3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-scalar-rr2-lut16-p3-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-scalar-rr2-lut16-p3-x4.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-scalar-rr2-lut16-p3-x4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:481:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 481 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__scalar_rr2_lut16_p3_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-scalar-rr2-lut16-p3-x5.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-scalar-rr2-lut16-p3-x5.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-scalar-rr2-lut16-p3-x5.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:482:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 482 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__scalar_rr2_lut16_p3_x5) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/ref_inner_product_int8.cpp.o [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-scalar-rr2-lut16-p3-x6.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-scalar-rr2-lut16-p3-x6.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-scalar-rr2-lut16-p3-x6.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:483:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 483 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__scalar_rr2_lut16_p3_x6) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Built target sleefavx2 [ 20%] Building C object sleef/src/libm/CMakeFiles/sleeffma4.dir/sleefsimdsp.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/ibv/connection_impl.h:23, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/ibv/connection_impl.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)’ defined but not used [-Wunused-function] 48 | void loadOneFdFromArray(int& src, Fd& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)’ defined but not used [-Wunused-function] 27 | void saveOneFdToArray(int& dst, const int& src) { | ^~~~~~~~~~~~~~~~ [ 20%] Building C object sleef/src/libm/CMakeFiles/sleefdetavx2128.dir/sleefsimddp.c.o [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-scalar-rr2-p6-x1.c.o In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Zmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Zmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:19, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Zmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Zmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 16 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 16 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Zmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Zmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Zmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Zmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Zmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Zmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 16 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 16 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘bool Xbyak::Address::is32bit() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1275:51, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2253:33, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Zmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Zmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::isBroadcast() const’, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2260:25, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Zmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1284:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1284 | bool isBroadcast() const { return broadcast_; } | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Zmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-scalar-rr2-p6-x1.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-scalar-rr2-p6-x1.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:485:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 485 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__scalar_rr2_p6_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-scalar-rr2-p6-x2.c.o [ 20%] Building C object sleef/src/libm/CMakeFiles/sleefavx2128.dir/sleefsimddp.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-scalar-rr2-p6-x2.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-scalar-rr2-p6-x2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:486:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 486 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__scalar_rr2_p6_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/FbgemmI8Spmdm.cc.o [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-scalar-rr2-p6-x3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-scalar-rr2-p6-x3.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-scalar-rr2-p6-x3.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:487:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 487 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__scalar_rr2_p6_x3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-scalar-rr2-p6-x4.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/ibv/connection_impl.h:23, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/ibv/factory.cc:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)’ defined but not used [-Wunused-function] 48 | void loadOneFdFromArray(int& src, Fd& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)’ defined but not used [-Wunused-function] 27 | void saveOneFdToArray(int& dst, const int& src) { | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-scalar-rr2-p6-x4.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-scalar-rr2-p6-x4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:488:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 488 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__scalar_rr2_p6_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-scalar-rr2-p6-x5.c.o [ 20%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/reactor.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-scalar-rr2-p6-x5.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-scalar-rr2-p6-x5.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:489:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 489 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__scalar_rr2_p6_x5) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling transport/net_ib.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/transport/net_ib.o [ 20%] Building C object sleef/src/libm/CMakeFiles/sleefdetfma4.dir/sleefsimdsp.c.o [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-scalar-rr2-p6-x6.c.o [ 21%] Building C object sleef/src/libm/CMakeFiles/sleefdetfma4.dir/sleefsimddp.c.o [ 21%] Building C object sleef/src/libm/CMakeFiles/sleefavx.dir/sleefsimdsp.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-scalar-rr2-p6-x6.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-scalar-rr2-p6-x6.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:490:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 490 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__scalar_rr2_p6_x6) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vhswish/gen/f32-vhswish-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vhswish/gen/f32-vhswish-scalar-x1.c:21:39: warning: argument 4 of type ‘const union xnn_f32_hswish_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_hswish_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vhswish/gen/f32-vhswish-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:498:42: note: previously declared as ‘const union xnn_f32_hswish_params *’ 498 | const union xnn_f32_hswish_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:524:1: note: in expansion of macro ‘DECLARE_F32_VHSWISH_UKERNEL_FUNCTION’ 524 | DECLARE_F32_VHSWISH_UKERNEL_FUNCTION(xnn_f32_vhswish_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vhswish/gen/f32-vhswish-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vhswish/gen/f32-vhswish-scalar-x2.c:21:39: warning: argument 4 of type ‘const union xnn_f32_hswish_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_hswish_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vhswish/gen/f32-vhswish-scalar-x4.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vhswish/gen/f32-vhswish-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:498:42: note: previously declared as ‘const union xnn_f32_hswish_params *’ 498 | const union xnn_f32_hswish_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:525:1: note: in expansion of macro ‘DECLARE_F32_VHSWISH_UKERNEL_FUNCTION’ 525 | DECLARE_F32_VHSWISH_UKERNEL_FUNCTION(xnn_f32_vhswish_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vlrelu/gen/f32-vlrelu-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vhswish/gen/f32-vhswish-scalar-x4.c:21:39: warning: argument 4 of type ‘const union xnn_f32_hswish_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_hswish_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vhswish/gen/f32-vhswish-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:498:42: note: previously declared as ‘const union xnn_f32_hswish_params *’ 498 | const union xnn_f32_hswish_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:526:1: note: in expansion of macro ‘DECLARE_F32_VHSWISH_UKERNEL_FUNCTION’ 526 | DECLARE_F32_VHSWISH_UKERNEL_FUNCTION(xnn_f32_vhswish_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vlrelu/gen/f32-vlrelu-scalar-x1.c:20:38: warning: argument 4 of type ‘const union xnn_f32_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_f32_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vlrelu/gen/f32-vlrelu-scalar-x1.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:548:41: note: previously declared as ‘const union xnn_f32_lrelu_params *’ 548 | const union xnn_f32_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:585:1: note: in expansion of macro ‘DECLARE_F32_VLRELU_UKERNEL_FUNCTION’ 585 | DECLARE_F32_VLRELU_UKERNEL_FUNCTION(xnn_f32_vlrelu_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vlrelu/gen/f32-vlrelu-scalar-x2.c.o [ 21%] Building C object sleef/src/libm/CMakeFiles/sleefavx.dir/sleefsimddp.c.o [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vlrelu/gen/f32-vlrelu-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vlrelu/gen/f32-vlrelu-scalar-x2.c:20:38: warning: argument 4 of type ‘const union xnn_f32_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_f32_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vlrelu/gen/f32-vlrelu-scalar-x2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:548:41: note: previously declared as ‘const union xnn_f32_lrelu_params *’ 548 | const union xnn_f32_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:586:1: note: in expansion of macro ‘DECLARE_F32_VLRELU_UKERNEL_FUNCTION’ 586 | DECLARE_F32_VLRELU_UKERNEL_FUNCTION(xnn_f32_vlrelu_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/ibv/sockaddr.h:16, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/ibv/listener_impl.h:21, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/ibv/listener_impl.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)’ defined but not used [-Wunused-function] 48 | void loadOneFdFromArray(int& src, Fd& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)’ defined but not used [-Wunused-function] 27 | void saveOneFdToArray(int& dst, const int& src) { | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vlrelu/gen/f32-vlrelu-scalar-x4.c:20:38: warning: argument 4 of type ‘const union xnn_f32_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_f32_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vlrelu/gen/f32-vlrelu-scalar-x4.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:548:41: note: previously declared as ‘const union xnn_f32_lrelu_params *’ 548 | const union xnn_f32_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:587:1: note: in expansion of macro ‘DECLARE_F32_VLRELU_UKERNEL_FUNCTION’ 587 | DECLARE_F32_VLRELU_UKERNEL_FUNCTION(xnn_f32_vlrelu_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vmulcaddc/gen/f32-vmulcaddc-c1-minmax-scalar-2x.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vmulcaddc/gen/f32-vmulcaddc-c1-minmax-scalar-2x.c:24:39: warning: argument 8 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vmulcaddc/gen/f32-vmulcaddc-c1-minmax-scalar-2x.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmulcaddc.h:28:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 28 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmulcaddc.h:55:1: note: in expansion of macro ‘DECLARE_F32_VMULCADDC_MINMAX_UKERNEL_FUNCTION’ 55 | DECLARE_F32_VMULCADDC_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmulcaddc_minmax_ukernel_c1__scalar_2x) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/GenerateKernelDirectConvU8S8S32ACC32.cc.o [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vmulcaddc/gen/f32-vmulcaddc-c2-minmax-scalar-2x.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vmulcaddc/gen/f32-vmulcaddc-c2-minmax-scalar-2x.c:24:39: warning: argument 8 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vmulcaddc/gen/f32-vmulcaddc-c2-minmax-scalar-2x.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmulcaddc.h:28:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 28 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmulcaddc.h:56:1: note: in expansion of macro ‘DECLARE_F32_VMULCADDC_MINMAX_UKERNEL_FUNCTION’ 56 | DECLARE_F32_VMULCADDC_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmulcaddc_minmax_ukernel_c2__scalar_2x) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:19, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 16 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 16 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 16 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 16 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘bool Xbyak::Address::is32bit() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1275:51, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2253:33, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::isBroadcast() const’, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2260:25, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1284:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1284 | bool isBroadcast() const { return broadcast_; } | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vmulcaddc/gen/f32-vmulcaddc-c4-minmax-scalar-2x.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vmulcaddc/gen/f32-vmulcaddc-c4-minmax-scalar-2x.c:24:39: warning: argument 8 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vmulcaddc/gen/f32-vmulcaddc-c4-minmax-scalar-2x.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmulcaddc.h:28:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 28 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmulcaddc.h:57:1: note: in expansion of macro ‘DECLARE_F32_VMULCADDC_MINMAX_UKERNEL_FUNCTION’ 57 | DECLARE_F32_VMULCADDC_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmulcaddc_minmax_ukernel_c4__scalar_2x) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrelu/gen/f32-vrelu-scalar-x1.c.o [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrelu/gen/f32-vrelu-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrelu/gen/f32-vrelu-scalar-x1.c:20:37: warning: argument 4 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrelu/gen/f32-vrelu-scalar-x1.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:623:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 623 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:631:1: note: in expansion of macro ‘DECLARE_F32_VRELU_UKERNEL_FUNCTION’ 631 | DECLARE_F32_VRELU_UKERNEL_FUNCTION(xnn_f32_vrelu_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrelu/gen/f32-vrelu-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrelu/gen/f32-vrelu-scalar-x2.c:20:37: warning: argument 4 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrelu/gen/f32-vrelu-scalar-x2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:623:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 623 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:632:1: note: in expansion of macro ‘DECLARE_F32_VRELU_UKERNEL_FUNCTION’ 632 | DECLARE_F32_VRELU_UKERNEL_FUNCTION(xnn_f32_vrelu_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/ref_layer_normalization.cpp.o [ 21%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/sockaddr.cc.o [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrelu/gen/f32-vrelu-scalar-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrelu/gen/f32-vrelu-scalar-x4.c:20:37: warning: argument 4 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrelu/gen/f32-vrelu-scalar-x4.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:623:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 623 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:633:1: note: in expansion of macro ‘DECLARE_F32_VRELU_UKERNEL_FUNCTION’ 633 | DECLARE_F32_VRELU_UKERNEL_FUNCTION(xnn_f32_vrelu_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndd-scalar-libm-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrelu/gen/f32-vrelu-scalar-x8.c:20:37: warning: argument 4 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrelu/gen/f32-vrelu-scalar-x8.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:623:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 623 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:634:1: note: in expansion of macro ‘DECLARE_F32_VRELU_UKERNEL_FUNCTION’ 634 | DECLARE_F32_VRELU_UKERNEL_FUNCTION(xnn_f32_vrelu_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/ref_lrn.cpp.o [ 21%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/utility.cc.o [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndd-scalar-libm-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndd-scalar-libm-x1.c:22:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndd-scalar-libm-x1.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:718:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 718 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndd_ukernel__scalar_libm_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Built target sleefdetavx2128 [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndd-scalar-libm-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndd-scalar-libm-x2.c:22:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndd-scalar-libm-x2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:719:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 719 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndd_ukernel__scalar_libm_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_avx_kernel_sgemm_kern_part2_autogen.cpp.o [ 21%] Building C object sleef/src/libm/CMakeFiles/sleefdetavx.dir/sleefsimdsp.c.o [ 21%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/ref_pooling.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndd-scalar-libm-x4.c:22:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndd-scalar-libm-x4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:720:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 720 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndd_ukernel__scalar_libm_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndne-scalar-libm-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndne-scalar-libm-x1.c:22:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndne-scalar-libm-x1.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:664:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 664 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndne_ukernel__scalar_libm_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndne-scalar-libm-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndne-scalar-libm-x2.c:22:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndne-scalar-libm-x2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:665:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 665 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndne_ukernel__scalar_libm_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/GenerateKernel.cc.o [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndne-scalar-libm-x4.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:27, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp:31: In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpxorq(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2271:76, inlined from ‘virtual void dnnl::impl::cpu::x64::avx512_common_gemm_f32::xbyak_gemm_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp:1508:23: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::avx512_common_gemm_f32::xbyak_gemm_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp:1508:69: note: at offset 8 into object ‘’ of size 8 1508 | vpxorq(Zmm(i + 8 * j), Zmm(i + 8 * j), Zmm(i + 8 * j)); | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp:1508:53: note: at offset 8 into object ‘’ of size 8 1508 | vpxorq(Zmm(i + 8 * j), Zmm(i + 8 * j), Zmm(i + 8 * j)); | ^ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:19, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpxorq(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2271:76, inlined from ‘virtual void dnnl::impl::cpu::x64::avx512_common_gemm_f32::xbyak_gemm_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp:1508:23: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::avx512_common_gemm_f32::xbyak_gemm_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp:1508:69: note: at offset 16 into object ‘’ of size 8 1508 | vpxorq(Zmm(i + 8 * j), Zmm(i + 8 * j), Zmm(i + 8 * j)); | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp:1508:53: note: at offset 16 into object ‘’ of size 8 1508 | vpxorq(Zmm(i + 8 * j), Zmm(i + 8 * j), Zmm(i + 8 * j)); | ^ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpxorq(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2271:76, inlined from ‘virtual void dnnl::impl::cpu::x64::avx512_common_gemm_f32::xbyak_gemm_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp:1508:23: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::avx512_common_gemm_f32::xbyak_gemm_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp:1508:69: note: at offset 8 into object ‘’ of size 8 1508 | vpxorq(Zmm(i + 8 * j), Zmm(i + 8 * j), Zmm(i + 8 * j)); | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp:1508:53: note: at offset 8 into object ‘’ of size 8 1508 | vpxorq(Zmm(i + 8 * j), Zmm(i + 8 * j), Zmm(i + 8 * j)); | ^ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpxorq(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2271:76, inlined from ‘virtual void dnnl::impl::cpu::x64::avx512_common_gemm_f32::xbyak_gemm_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp:1508:23: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::avx512_common_gemm_f32::xbyak_gemm_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp:1508:69: note: at offset 8 into object ‘’ of size 8 1508 | vpxorq(Zmm(i + 8 * j), Zmm(i + 8 * j), Zmm(i + 8 * j)); | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp:1508:53: note: at offset 8 into object ‘’ of size 8 1508 | vpxorq(Zmm(i + 8 * j), Zmm(i + 8 * j), Zmm(i + 8 * j)); | ^ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpxorq(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2271:76, inlined from ‘virtual void dnnl::impl::cpu::x64::avx512_common_gemm_f32::xbyak_gemm_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp:1508:23: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::avx512_common_gemm_f32::xbyak_gemm_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp:1508:69: note: at offset 16 into object ‘’ of size 8 1508 | vpxorq(Zmm(i + 8 * j), Zmm(i + 8 * j), Zmm(i + 8 * j)); | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp:1508:53: note: at offset 16 into object ‘’ of size 8 1508 | vpxorq(Zmm(i + 8 * j), Zmm(i + 8 * j), Zmm(i + 8 * j)); | ^ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘bool Xbyak::Address::is32bit() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1275:51, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2253:33, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpxorq(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2271:76, inlined from ‘virtual void dnnl::impl::cpu::x64::avx512_common_gemm_f32::xbyak_gemm_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp:1508:23: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::avx512_common_gemm_f32::xbyak_gemm_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp:1508:69: note: at offset 8 into object ‘’ of size 8 1508 | vpxorq(Zmm(i + 8 * j), Zmm(i + 8 * j), Zmm(i + 8 * j)); | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp:1508:53: note: at offset 8 into object ‘’ of size 8 1508 | vpxorq(Zmm(i + 8 * j), Zmm(i + 8 * j), Zmm(i + 8 * j)); | ^ In member function ‘bool Xbyak::Address::isBroadcast() const’, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2260:25, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpxorq(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2271:76, inlined from ‘virtual void dnnl::impl::cpu::x64::avx512_common_gemm_f32::xbyak_gemm_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp:1508:23: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1284:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1284 | bool isBroadcast() const { return broadcast_; } | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::avx512_common_gemm_f32::xbyak_gemm_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp:1508:69: note: object ‘’ of size 8 1508 | vpxorq(Zmm(i + 8 * j), Zmm(i + 8 * j), Zmm(i + 8 * j)); | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp:1508:53: note: object ‘’ of size 8 1508 | vpxorq(Zmm(i + 8 * j), Zmm(i + 8 * j), Zmm(i + 8 * j)); | ^ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/ibv/sockaddr.h:16, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/ibv/sockaddr.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)’ defined but not used [-Wunused-function] 48 | void loadOneFdFromArray(int& src, Fd& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)’ defined but not used [-Wunused-function] 27 | void saveOneFdToArray(int& dst, const int& src) { | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndne-scalar-libm-x4.c:22:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndne-scalar-libm-x4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:666:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 666 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndne_ukernel__scalar_libm_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndu-scalar-libm-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndu-scalar-libm-x1.c:22:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndu-scalar-libm-x1.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:700:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 700 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndu_ukernel__scalar_libm_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndu-scalar-libm-x2.c.o [ 21%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_sse41_f32_copy_an_kern_autogen.cpp.o [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndu-scalar-libm-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndu-scalar-libm-x2.c:22:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndu-scalar-libm-x2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:701:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 701 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndu_ukernel__scalar_libm_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object sleef/src/libm/CMakeFiles/sleefdetavx.dir/sleefsimddp.c.o [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndz-scalar-libm-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndu-scalar-libm-x4.c:22:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndu-scalar-libm-x4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:702:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 702 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndu_ukernel__scalar_libm_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndz-scalar-libm-x1.c:22:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndz-scalar-libm-x1.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:682:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 682 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndz_ukernel__scalar_libm_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndz-scalar-libm-x2.c.o [ 21%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/GenerateKernelU8S8S32ACC16.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndz-scalar-libm-x2.c:22:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndz-scalar-libm-x2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:683:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 683 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndz_ukernel__scalar_libm_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/ibv/utility.cc:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)’ defined but not used [-Wunused-function] 48 | void loadOneFdFromArray(int& src, Fd& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)’ defined but not used [-Wunused-function] 27 | void saveOneFdToArray(int& dst, const int& src) { | ^~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndz-scalar-libm-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndz-scalar-libm-x4.c:22:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndz-scalar-libm-x4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:684:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 684 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndz_ukernel__scalar_libm_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/GenerateKernelU8S8S32ACC16Avx512.cc.o [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut64-p2-div-x1.c.o [ 21%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/GenerateKernelU8S8S32ACC16Avx512VNNI.cc.o [ 21%] Built target sleefdetfma4 /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut64-p2-div-x1.c:25:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut64-p2-div-x1.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1088:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1088 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__scalar_rr2_lut64_p2_div_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object sleef/src/libm/CMakeFiles/sleefsse4.dir/sleefsimdsp.c.o [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut64-p2-div-x2.c.o [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut64-p2-div-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut64-p2-div-x2.c:25:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut64-p2-div-x2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1089:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1089 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__scalar_rr2_lut64_p2_div_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut64-p2-div-x4.c:25:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut64-p2-div-x4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1090:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1090 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__scalar_rr2_lut64_p2_div_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut2048-p1-div-x1.c.o [ 21%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/ref_prelu.cpp.o [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut2048-p1-div-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut2048-p1-div-x1.c:25:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut2048-p1-div-x1.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1084:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1084 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__scalar_rr2_lut2048_p1_div_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut2048-p1-div-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut2048-p1-div-x2.c:25:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut2048-p1-div-x2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1085:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1085 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__scalar_rr2_lut2048_p1_div_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/ref_reduction.cpp.o [ 21%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/ref_resampling.cpp.o [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-p5-div-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut2048-p1-div-x4.c:25:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut2048-p1-div-x4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1086:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1086 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__scalar_rr2_lut2048_p1_div_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object sleef/src/libm/CMakeFiles/sleeffma4.dir/sleefsimddp.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-p5-div-x1.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-p5-div-x1.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1092:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1092 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__scalar_rr2_p5_div_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object sleef/src/libm/CMakeFiles/sleefsse4.dir/sleefsimddp.c.o [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-p5-div-x2.c.o [ 21%] Building C object sleef/src/libm/CMakeFiles/sleefdetsse4.dir/sleefsimdsp.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-p5-div-x2.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-p5-div-x2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1093:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1093 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__scalar_rr2_p5_div_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-p5-div-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-p5-div-x4.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-p5-div-x4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1094:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1094 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__scalar_rr2_p5_div_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object sleef/src/libm/CMakeFiles/sleefsse2.dir/sleefsimdsp.c.o Compiling transport/coll_net.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/transport/coll_net.o [ 21%] Building C object sleef/src/libm/CMakeFiles/sleefdetsse4.dir/sleefsimddp.c.o [ 21%] Building C object sleef/src/libm/CMakeFiles/sleefsse2.dir/sleefsimddp.c.o [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-scalar-sqrt-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-scalar-sqrt-x1.c:21:37: warning: argument 4 of type ‘const union xnn_f32_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-scalar-sqrt-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:734:40: note: previously declared as ‘const union xnn_f32_sqrt_params *’ 734 | const union xnn_f32_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:788:1: note: in expansion of macro ‘DECLARE_F32_VSQRT_UKERNEL_FUNCTION’ 788 | DECLARE_F32_VSQRT_UKERNEL_FUNCTION(xnn_f32_vsqrt_ukernel__scalar_sqrt_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-scalar-sqrt-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-scalar-sqrt-x2.c:21:37: warning: argument 4 of type ‘const union xnn_f32_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-scalar-sqrt-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:734:40: note: previously declared as ‘const union xnn_f32_sqrt_params *’ 734 | const union xnn_f32_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:789:1: note: in expansion of macro ‘DECLARE_F32_VSQRT_UKERNEL_FUNCTION’ 789 | DECLARE_F32_VSQRT_UKERNEL_FUNCTION(xnn_f32_vsqrt_ukernel__scalar_sqrt_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-scalar-sqrt-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-scalar-sqrt-x4.c:21:37: warning: argument 4 of type ‘const union xnn_f32_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-scalar-sqrt-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:734:40: note: previously declared as ‘const union xnn_f32_sqrt_params *’ 734 | const union xnn_f32_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:790:1: note: in expansion of macro ‘DECLARE_F32_VSQRT_UKERNEL_FUNCTION’ 790 | DECLARE_F32_VSQRT_UKERNEL_FUNCTION(xnn_f32_vsqrt_ukernel__scalar_sqrt_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vabs-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vabs-scalar-x1.c:22:36: warning: argument 4 of type ‘const union xnn_f32_abs_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_abs_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vabs-scalar-x1.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:213:39: note: previously declared as ‘const union xnn_f32_abs_params *’ 213 | const union xnn_f32_abs_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:230:1: note: in expansion of macro ‘DECLARE_F32_VABS_UKERNEL_FUNCTION’ 230 | DECLARE_F32_VABS_UKERNEL_FUNCTION(xnn_f32_vabs_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vabs-scalar-x2.c.o [ 21%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_sse41_f32_copy_at_kern_autogen.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vabs-scalar-x2.c:22:36: warning: argument 4 of type ‘const union xnn_f32_abs_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_abs_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vabs-scalar-x2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:213:39: note: previously declared as ‘const union xnn_f32_abs_params *’ 213 | const union xnn_f32_abs_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:231:1: note: in expansion of macro ‘DECLARE_F32_VABS_UKERNEL_FUNCTION’ 231 | DECLARE_F32_VABS_UKERNEL_FUNCTION(xnn_f32_vabs_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vabs-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vabs-scalar-x4.c:22:36: warning: argument 4 of type ‘const union xnn_f32_abs_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_abs_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vabs-scalar-x4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:213:39: note: previously declared as ‘const union xnn_f32_abs_params *’ 213 | const union xnn_f32_abs_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:232:1: note: in expansion of macro ‘DECLARE_F32_VABS_UKERNEL_FUNCTION’ 232 | DECLARE_F32_VABS_UKERNEL_FUNCTION(xnn_f32_vabs_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vneg-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vneg-scalar-x1.c:21:36: warning: argument 4 of type ‘const union xnn_f32_neg_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_neg_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vneg-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:595:39: note: previously declared as ‘const union xnn_f32_neg_params *’ 595 | const union xnn_f32_neg_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:613:1: note: in expansion of macro ‘DECLARE_F32_VNEG_UKERNEL_FUNCTION’ 613 | DECLARE_F32_VNEG_UKERNEL_FUNCTION(xnn_f32_vneg_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vneg-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vneg-scalar-x2.c:21:36: warning: argument 4 of type ‘const union xnn_f32_neg_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_neg_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vneg-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:595:39: note: previously declared as ‘const union xnn_f32_neg_params *’ 595 | const union xnn_f32_neg_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:614:1: note: in expansion of macro ‘DECLARE_F32_VNEG_UKERNEL_FUNCTION’ 614 | DECLARE_F32_VNEG_UKERNEL_FUNCTION(xnn_f32_vneg_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vneg-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vneg-scalar-x4.c:21:36: warning: argument 4 of type ‘const union xnn_f32_neg_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_neg_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vneg-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:595:39: note: previously declared as ‘const union xnn_f32_neg_params *’ 595 | const union xnn_f32_neg_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:615:1: note: in expansion of macro ‘DECLARE_F32_VNEG_UKERNEL_FUNCTION’ 615 | DECLARE_F32_VNEG_UKERNEL_FUNCTION(xnn_f32_vneg_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vsqr-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vsqr-scalar-x1.c:21:40: warning: argument 4 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vsqr-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1102:43: note: previously declared as ‘const union xnn_f32_default_params *’ 1102 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1119:1: note: in expansion of macro ‘DECLARE_F32_VSQR_UKERNEL_FUNCTION’ 1119 | DECLARE_F32_VSQR_UKERNEL_FUNCTION(xnn_f32_vsqr_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vsqr-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vsqr-scalar-x2.c:21:40: warning: argument 4 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vsqr-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1102:43: note: previously declared as ‘const union xnn_f32_default_params *’ 1102 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1120:1: note: in expansion of macro ‘DECLARE_F32_VSQR_UKERNEL_FUNCTION’ 1120 | DECLARE_F32_VSQR_UKERNEL_FUNCTION(xnn_f32_vsqr_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Built target sleefavx2128 [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vsqr-scalar-x4.c.o [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/i16-vlshift/gen/i16-vlshift-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vsqr-scalar-x4.c:21:40: warning: argument 4 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vsqr-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1102:43: note: previously declared as ‘const union xnn_f32_default_params *’ 1102 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1121:1: note: in expansion of macro ‘DECLARE_F32_VSQR_UKERNEL_FUNCTION’ 1121 | DECLARE_F32_VSQR_UKERNEL_FUNCTION(xnn_f32_vsqr_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/ref_shuffle.cpp.o [ 21%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_sse41_f32_copy_bn_kern_autogen.cpp.o [ 21%] Building C object 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CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/GroupwiseConvAcc32Avx2.cc.o [ 23%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/gemm/f32/ref_gemm_f32.cpp.o [ 23%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/gemm/gemm.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-3p1c-minmax-fp32-scalar-fmagic.c:27:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-3p1c-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:954:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 954 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_3p1c__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-3p2c-minmax-fp32-scalar-imagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-3p2c-minmax-fp32-scalar-imagic.c:27:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-3p2c-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:955:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 955 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_3p2c__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 23%] Built target sleefdetsse2 [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-3p2c-minmax-fp32-scalar-lrintf.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-3p2c-minmax-fp32-scalar-lrintf.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-3p2c-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:956:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 956 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_3p2c__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 23%] Building C object sleef/src/libm/CMakeFiles/sleefdetpurecfma_scalar.dir/sleefsimdsp.c.o [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p1c-minmax-fp32-scalar-fmagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p1c-minmax-fp32-scalar-fmagic.c:27:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p1c-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1024:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1024 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p1c__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p1c-minmax-fp32-scalar-imagic.c.o [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p1c-minmax-fp32-scalar-lrintf.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p1c-minmax-fp32-scalar-imagic.c:27:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p1c-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1028:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1028 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p1c__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 23%] Built target sleefdetpurec_scalar [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p2c-minmax-fp32-scalar-fmagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p1c-minmax-fp32-scalar-lrintf.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p1c-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1032:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1032 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p1c__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p2c-minmax-fp32-scalar-fmagic.c:27:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p2c-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1025:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1025 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p2c__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 23%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/gemm/gemm_pack.cpp.o [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p2c-minmax-fp32-scalar-imagic.c.o [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p2c-minmax-fp32-scalar-lrintf.c.o [ 23%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/gemv_driver.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p2c-minmax-fp32-scalar-imagic.c:27:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p2c-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1029:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1029 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p2c__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p2c-minmax-fp32-scalar-lrintf.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p2c-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1033:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1033 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p2c__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p4c-minmax-fp32-scalar-fmagic.c.o [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p4c-minmax-fp32-scalar-imagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p4c-minmax-fp32-scalar-imagic.c:26:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p4c-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1030:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1030 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p4c__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p4c-minmax-fp32-scalar-fmagic.c:26:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p4c-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1026:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1026 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p4c__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 23%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx2_gemm_s8u8s32_kern.cpp.o [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p4c-minmax-fp32-scalar-lrintf.c.o [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p1c-minmax-fp32-scalar-fmagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p4c-minmax-fp32-scalar-lrintf.c:27:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p4c-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1034:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1034 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p4c__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p1c-minmax-fp32-scalar-fmagic.c:27:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p1c-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1101:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1101 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p1c__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 23%] Building C object sleef/src/libm/CMakeFiles/sleefdetpurecfma_scalar.dir/sleefsimddp.c.o [ 23%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx2_u8_copy_an_kern_autogen.cpp.o [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p1c-minmax-fp32-scalar-imagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p1c-minmax-fp32-scalar-imagic.c:27:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p1c-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1105:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1105 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p1c__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p1c-minmax-fp32-scalar-lrintf.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p1c-minmax-fp32-scalar-lrintf.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p1c-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1109:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1109 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p1c__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling graph/rings.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/graph/rings.o [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p2c-minmax-fp32-scalar-fmagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p2c-minmax-fp32-scalar-fmagic.c:27:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p2c-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1102:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1102 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p2c__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 23%] Built target sleefsse4 [ 23%] Built target sleefavx [ 23%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/GroupwiseConvAcc32Avx512.cc.o [ 23%] Building C object sleef/src/libm/CMakeFiles/dispsse_obj.dir/dispsse.c.o [ 23%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/gemm/s8x8s32/ref_gemm_s8x8s32.cpp.o [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p2c-minmax-fp32-scalar-imagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p2c-minmax-fp32-scalar-imagic.c:27:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p2c-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1106:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1106 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p2c__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p2c-minmax-fp32-scalar-lrintf.c.o [ 23%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/gemm/s8x8s32/simple_gemm_s8s8s32.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p2c-minmax-fp32-scalar-lrintf.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p2c-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1110:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1110 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p2c__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 23%] Built target sleefdetpurecfma_scalar [ 23%] Building C object sleef/src/libm/CMakeFiles/dispavx_obj.dir/dispavx.c.o [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p4c-minmax-fp32-scalar-fmagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p4c-minmax-fp32-scalar-fmagic.c:26:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p4c-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1103:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1103 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p4c__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 23%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/matmul/cpu_matmul_list.cpp.o [ 23%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/Config.cpp.o [ 23%] Building C object sleef/src/libm/CMakeFiles/sleefpurec_scalar.dir/sleefsimddp.c.o [ 24%] Built target sleefsse2 [ 24%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/matmul/gemm_bf16_matmul.cpp.o [ 24%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p4c-minmax-fp32-scalar-imagic.c.o [ 24%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/code_generator.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p4c-minmax-fp32-scalar-imagic.c:26:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p4c-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1107:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1107 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p4c__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 24%] Building C object sleef/src/libm/CMakeFiles/sleefpurecfma_scalar.dir/sleefsimddp.c.o [ 24%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/matmul/gemm_f32_matmul.cpp.o [ 24%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/matmul/gemm_x8s8s32x_matmul.cpp.o [ 24%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p4c-minmax-fp32-scalar-lrintf.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p4c-minmax-fp32-scalar-lrintf.c:27:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p4c-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1111:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1111 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p4c__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 24%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx2_u8_copy_at_kern_autogen.cpp.o [ 24%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx2_u8_copy_bn_kern_autogen.cpp.o Compiling graph/trees.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/graph/trees.o [ 24%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/ConfigLoader.cpp.o [ 24%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/DaemonConfigLoader.cpp.o [ 24%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x2-minmax-fp32-scalar-fmagic.c.o [ 24%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/PackAMatrix.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x2-minmax-fp32-scalar-fmagic.c:27:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x2-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1952:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1952 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x2__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 24%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/PackAWithIm2Col.cc.o [ 24%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x2-minmax-fp32-scalar-imagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x2-minmax-fp32-scalar-imagic.c:27:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x2-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1961:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1961 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x2__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 24%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x2-minmax-fp32-scalar-lrintf.c.o Compiling graph/connect.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/graph/connect.o [ 24%] Built target dispsse_obj [ 24%] Building C object confu-deps/XNNPACK/CMakeFiles/operators.dir/src/operator-delete.c.o [ 24%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_cuda.dir/common/cuda_buffer.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x2-minmax-fp32-scalar-lrintf.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x2-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1970:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1970 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x2__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/code_generator.cc: In member function ‘virtual bool google::protobuf::compiler::CodeGenerator::GenerateAll(const std::vector&, const std::string&, google::protobuf::compiler::GeneratorContext*, std::string*) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/code_generator.cc:56:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 56 | for (int i = 0; i < files.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/code_generator.cc: In function ‘void google::protobuf::compiler::ParseGeneratorParameter(const std::string&, std::vector, std::__cxx11::basic_string > >*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/code_generator.cc:106:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 106 | for (int i = 0; i < parts.size(); i++) { | ~~^~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_sse41_gemv_n_f32_kern.cpp:22: In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::xorps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1402:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vxorps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1292:18, inlined from ‘void dnnl::impl::cpu::x64::jit_sse41_gemv_n_f32_kern::kernel_loop(int, int, bool, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_sse41_gemv_n_f32_kern.cpp:158:19: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_sse41_gemv_n_f32_kern.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_sse41_gemv_n_f32_kern::kernel_loop(int, int, bool, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_sse41_gemv_n_f32_kern.cpp:156:14: note: object ‘y’ of size 8 156 | auto y = y_[j]; | ^ [ 24%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4-minmax-fp32-scalar-fmagic.c.o [ 24%] Building C object confu-deps/XNNPACK/CMakeFiles/operators.dir/src/operators/argmax-pooling-nhwc.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4-minmax-fp32-scalar-fmagic.c:26:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1953:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1953 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 24%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4-minmax-fp32-scalar-imagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4-minmax-fp32-scalar-imagic.c:26:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1962:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1962 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 24%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/PackAWithQuantRowOffset.cc.o [ 24%] Building C object confu-deps/XNNPACK/CMakeFiles/operators.dir/src/operators/average-pooling-nhwc.c.o [ 24%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4-minmax-fp32-scalar-lrintf.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4-minmax-fp32-scalar-lrintf.c:27:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1971:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1971 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/FabricManager.h:12, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/IpcFabricConfigClient.h:21, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/DaemonConfigLoader.cpp:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h: In instantiation of ‘auto dynolog::ipcfabric::EndPoint::buildCtxt_(const std::vector&, unsigned int) [with long unsigned int kMaxNumFds = 0]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h:116:17: required from ‘auto dynolog::ipcfabric::EndPoint::buildSendCtxt(const std::string&, const std::vector&, const std::vector&) [with long unsigned int kMaxNumFds = 0; std::string = std::__cxx11::basic_string]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/FabricManager.h:126:36: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h:238:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 238 | for (int i = 0; i < payload.size(); i++) { | ~~^~~~~~~~~~~~~~~~ [ 24%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x2-minmax-fp32-scalar-fmagic.c.o In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::xorps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1402:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vxorps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1292:18, inlined from ‘void dnnl::impl::cpu::x64::jit_sse41_gemv_n_f32_kern::kernel_loop(int, int, bool, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_sse41_gemv_n_f32_kern.cpp:158:19: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_sse41_gemv_n_f32_kern.cpp: In function ‘void dnnl::impl::cpu::x64::jit_sse41_gemv_n_f32_kern::kernel_loop(int, int, bool, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_sse41_gemv_n_f32_kern.cpp:156:14: note: object ‘y’ of size 8 156 | auto y = y_[j]; | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x2-minmax-fp32-scalar-fmagic.c:27:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x2-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1954:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1954 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x2__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h: In instantiation of ‘bool dynolog::ipcfabric::EndPoint::tryPeekMsg(TCtxt&) [with long unsigned int kMaxNumFds = 0; TCtxt = dynolog::ipcfabric::EndPointCtxt<0>]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/FabricManager.h:155:33: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h:174:5: warning: ‘throw’ will always call ‘terminate’ [-Wterminate] 174 | throw std::runtime_error(std::strerror(errno)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h: In instantiation of ‘const char* dynolog::ipcfabric::EndPoint::getName(const TCtxt&) const [with long unsigned int kMaxNumFds = 0; TCtxt = dynolog::ipcfabric::EndPointCtxt<0>]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/FabricManager.h:170:43: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h:185:9: warning: ‘throw’ will always call ‘terminate’ [-Wterminate] 185 | throw std::invalid_argument( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 186 | "Unexpected socket name: " + std::string(ctxt.msg_name.sun_path) + | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 187 | ". Expected to start with " + std::string(socket_dir)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h:192:9: warning: ‘throw’ will always call ‘terminate’ [-Wterminate] 192 | throw std::invalid_argument( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 193 | "Expected abstract socket, got " + | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 194 | std::string(ctxt.msg_name.sun_path)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h: In instantiation of ‘bool dynolog::ipcfabric::EndPoint::tryRcvMsg(TCtxt&) [with long unsigned int kMaxNumFds = 0; TCtxt = dynolog::ipcfabric::EndPointCtxt<0>]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/FabricManager.h:178:34: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h:160:5: warning: ‘throw’ will always call ‘terminate’ [-Wterminate] 160 | throw std::runtime_error(std::strerror(errno)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 24%] Built target dispavx_obj [ 24%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x2-minmax-fp32-scalar-imagic.c.o [ 24%] Building CXX object c10/cuda/CMakeFiles/c10_cuda.dir/CUDACachingAllocator.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x2-minmax-fp32-scalar-imagic.c:27:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x2-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1963:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1963 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x2__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 24%] Building C object confu-deps/XNNPACK/CMakeFiles/operators.dir/src/operators/binary-elementwise-nd.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/cuda.h:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/cuda_buffer.cc:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h: In function ‘bool tensorpipe::isValidUuid(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h:58:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 58 | for (int i = 0; i < uuid.size(); i++) { | ~~^~~~~~~~~~~~~ [ 24%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x2-minmax-fp32-scalar-lrintf.c.o [ 24%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/PackAWithRowOffset.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x2-minmax-fp32-scalar-lrintf.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x2-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1972:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1972 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x2__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 24%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/matmul/ref_matmul.cpp.o [ 24%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4-minmax-fp32-scalar-fmagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4-minmax-fp32-scalar-fmagic.c:26:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1955:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1955 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 24%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/PackBMatrix.cc.o [ 24%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/command_line_interface.cc.o [ 24%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/matmul/ref_matmul_int8.cpp.o [ 24%] Building C object confu-deps/XNNPACK/CMakeFiles/operators.dir/src/operators/channel-shuffle-nc.c.o [ 24%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/GenericTraceActivity.cpp.o [ 24%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4-minmax-fp32-scalar-imagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4-minmax-fp32-scalar-imagic.c:26:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1964:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1964 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/operators.dir/src/operators/constant-pad-nd.c.o [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4-minmax-fp32-scalar-lrintf.c.o In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::xorps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1402:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vxorps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1292:18, inlined from ‘void dnnl::impl::cpu::x64::jit_sse41_gemv_n_f32_kern::innerloop(int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_sse41_gemv_n_f32_kern.cpp:184:19: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_sse41_gemv_n_f32_kern.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_sse41_gemv_n_f32_kern::innerloop(int, int)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_sse41_gemv_n_f32_kern.cpp:183:14: note: object ‘y’ of size 8 183 | auto y = y_[i]; | ^ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::shufps(const Xbyak::Xmm&, const Xbyak::Operand&, uint8_t)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:844:69, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vbroadcastss(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:516:19, inlined from ‘void dnnl::impl::cpu::x64::jit_sse41_gemv_n_f32_kern::innerloop(int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_sse41_gemv_n_f32_kern.cpp:176:25: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_sse41_gemv_n_f32_kern.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_sse41_gemv_n_f32_kern::innerloop(int, int)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_sse41_gemv_n_f32_kern.cpp:175:14: note: object ‘x’ of size 8 175 | auto x = x_[i]; | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4-minmax-fp32-scalar-lrintf.c:27:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1973:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1973 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 25%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/reorder/cpu_reorder.cpp.o [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/operators.dir/src/operators/convolution-nchw.c.o [ 25%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx2_u8_copy_bt_kern_autogen.cpp.o [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x2-minmax-fp32-scalar-fmagic.c.o [ 25%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/PackMatrix.cc.o [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/operators.dir/src/operators/convolution-nhwc.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x2-minmax-fp32-scalar-fmagic.c:27:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x2-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1956:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1956 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x2__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 25%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/reorder/cpu_reorder_comp_bf16_s8.cpp.o [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x2-minmax-fp32-scalar-imagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x2-minmax-fp32-scalar-imagic.c:27:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x2-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1965:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1965 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x2__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/operators.dir/src/operators/deconvolution-nhwc.c.o [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x2-minmax-fp32-scalar-lrintf.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/operators/deconvolution-nhwc.c: In function ‘setup_deconvolution2d_nhwc’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/operators/deconvolution-nhwc.c:1110:34: warning: operation on ‘deconvolution_op->output_width’ may be undefined [-Wsequence-point] 1110 | deconvolution_op->output_width = deconvolution_op->output_width = xnn_compute_deconvolution_output_dimension( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1111 | input_width, deconvolution_op->padding_left + deconvolution_op->padding_right, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1112 | adjustment_width, deconvolution_op->kernel_width, deconvolution_op->dilation_width, deconvolution_op->stride_width); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x2-minmax-fp32-scalar-lrintf.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x2-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1974:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1974 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x2__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4-minmax-fp32-scalar-fmagic.c.o [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4-minmax-fp32-scalar-imagic.c.o [ 25%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx2_u8_copy_sum_an_kern_autogen.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4-minmax-fp32-scalar-fmagic.c:26:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1957:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1957 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4-minmax-fp32-scalar-imagic.c:26:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1966:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1966 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4-minmax-fp32-scalar-lrintf.c.o [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-4x2-minmax-fp32-scalar-fmagic.c.o [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/operators.dir/src/operators/fully-connected-nc.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x2-minmax-fp32-scalar-fmagic.c:27:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x2-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1958:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1958 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_4x2__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 25%] Built target sleefpurecfma_scalar /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4-minmax-fp32-scalar-lrintf.c:27:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1975:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1975 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/operators.dir/src/operators/global-average-pooling-ncw.c.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-4x2-minmax-fp32-scalar-imagic.c.o [ 26%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/PackWeightMatrixForGConv.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x2-minmax-fp32-scalar-imagic.c:27:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x2-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1967:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1967 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_4x2__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/operators.dir/src/operators/global-average-pooling-nwc.c.o [ 26%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx2_u8_copy_sum_at_kern_autogen.cpp.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-4x2-minmax-fp32-scalar-lrintf.c.o [ 26%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/PackWeightsForConv.cc.o Compiling graph/search.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/graph/search.o [ 26%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/PackWeightsForDirectConv.cc.o [ 26%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx2_u8_copy_sum_bn_kern_autogen.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x2-minmax-fp32-scalar-lrintf.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x2-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1976:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1976 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_4x2__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc: In function ‘bool google::protobuf::compiler::{anonymous}::TryCreateParentDirectory(const std::string&, const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc:175:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 175 | for (int i = 0; i < parts.size() - 1; i++) { | ~~^~~~~~~~~~~~~~~~~~ [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-4x4-minmax-fp32-scalar-fmagic.c.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/operators.dir/src/operators/lut-elementwise-nc.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc: In member function ‘void google::protobuf::compiler::CommandLineInterface::MemoryOutputStream::UpdateMetadata(size_t, size_t)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc:640:29: warning: comparison of integer expressions of different signedness: ‘google::protobuf::int32’ {aka ‘int’} and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 640 | if (annotation->begin() >= insertion_offset) { | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4-minmax-fp32-scalar-fmagic.c:26:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1959:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1959 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_4x4__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc: In destructor ‘virtual google::protobuf::compiler::CommandLineInterface::MemoryOutputStream::~MemoryOutputStream()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc:735:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 735 | for (int i = 0; i < data_.size(); i++) { | ~~^~~~~~~~~~~~~~ [ 26%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx2_u8_copy_sum_bt_kern_autogen.cpp.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-4x4-minmax-fp32-scalar-imagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc: In member function ‘int google::protobuf::compiler::CommandLineInterface::Run(int, const char* const*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc:944:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 944 | for (int i = 0; i < output_directives_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc:1025:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1025 | for (int i = 0; i < parsed_files.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc: In member function ‘bool google::protobuf::compiler::CommandLineInterface::InitializeDiskSourceTree(google::protobuf::compiler::DiskSourceTree*, google::protobuf::DescriptorDatabase*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc:1049:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::__cxx11::basic_string > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1049 | for (int i = 0; i < proto_path_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc: In member function ‘google::protobuf::compiler::CommandLineInterface::ParseArgumentStatus google::protobuf::compiler::CommandLineInterface::ParseArguments(int, const char* const*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc:1366:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1366 | for (int i = 0; i < arguments.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc:1371:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1371 | if (i + 1 == arguments.size() || arguments[i + 1][0] == '-') { | ~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc: In member function ‘google::protobuf::compiler::CommandLineInterface::ParseArgumentStatus google::protobuf::compiler::CommandLineInterface::InterpretArgument(const std::string&, const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc:1579:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1579 | for (int i = 0; i < parts.size(); i++) { | ~~^~~~~~~~~~~~~~ [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/operators.dir/src/operators/max-pooling-nhwc.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc: In member function ‘bool google::protobuf::compiler::CommandLineInterface::GenerateDependencyManifestFile(const std::vector&, const GeneratorContextMap&, google::protobuf::compiler::DiskSourceTree*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc:2107:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2107 | for (int i = 0; i < parsed_files.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc:2118:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2118 | for (int i = 0; i < relative_output_filenames.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc:2141:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2141 | for (int i = 0; i < output_filenames.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc:2143:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2143 | if (i == output_filenames.size() - 1) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc: In member function ‘bool google::protobuf::compiler::CommandLineInterface::GeneratePluginOutput(const std::vector&, const std::string&, const std::string&, google::protobuf::compiler::GeneratorContext*, std::string*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc:2184:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2184 | for (int i = 0; i < parsed_files.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4-minmax-fp32-scalar-imagic.c:26:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1968:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1968 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_4x4__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 26%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/reorder/cpu_reorder_comp_f32_s8.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc: In member function ‘bool google::protobuf::compiler::CommandLineInterface::WriteDescriptorSet(const std::vector&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc:2336:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2336 | for (int i = 0; i < parsed_files.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc:2347:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2347 | for (int i = 0; i < parsed_files.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~ [ 26%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/QuantUtils.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc: In member function ‘void google::protobuf::compiler::CommandLineInterface::PrintFreeFieldNumbers(const google::protobuf::Descriptor*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc:2519:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2519 | for (int i = 0; i < nested_messages.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ [ 26%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/ILoggerObserver.cpp.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-4x4-minmax-fp32-scalar-lrintf.c.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x2-minmax-fp32-scalar-fmagic.c.o [ 26%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/RowWiseSparseAdagradFused.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4-minmax-fp32-scalar-lrintf.c:27:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1977:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1977 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_4x4__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x2-minmax-fp32-scalar-imagic.c.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/operators.dir/src/operators/prelu-nc.c.o [ 26%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/reorder/cpu_reorder_comp_s8_s8.cpp.o [ 26%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx2_vnni_u8_copy_an_kern_autogen.cpp.o [ 26%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_cuda.dir/channel/cuda_xth/channel_impl.cc.o [ 26%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/SparseAdagrad.cc.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x2-minmax-fp32-scalar-lrintf.c.o [ 26%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/spmmUtils.cc.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/operators.dir/src/operators/resize-bilinear-nchw.c.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4-minmax-fp32-scalar-fmagic.c.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4-minmax-fp32-scalar-imagic.c.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/operators.dir/src/operators/resize-bilinear-nhwc.c.o [ 26%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/reorder/cpu_reorder_regular_bf16.cpp.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4-minmax-fp32-scalar-lrintf.c.o [ 26%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/TransposeUtils.cc.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/operators.dir/src/operators/slice-nd.c.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x2-minmax-fp32-scalar-fmagic.c.o [ 26%] Built target sleefpurec_scalar [ 26%] Building C object sleef/src/libm/CMakeFiles/sleef.dir/sleefdp.c.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x2-minmax-fp32-scalar-imagic.c.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/operators.dir/src/operators/softmax-nc.c.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x2-minmax-fp32-scalar-lrintf.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/cuda.h:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_xth/channel_impl.h:15, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_xth/channel_impl.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h: In function ‘bool tensorpipe::isValidUuid(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h:58:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 58 | for (int i = 0; i < uuid.size(); i++) { | ~~^~~~~~~~~~~~~ [ 26%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/GenerateI8Depthwise.cc.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/operators.dir/src/operators/transpose-nd.c.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4-minmax-fp32-scalar-fmagic.c.o [ 26%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx2_vnni_u8_copy_at_kern_autogen.cpp.o [ 26%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx2_vnni_u8_copy_bn_kern_autogen.cpp.o [ 26%] Building CXX object c10/cuda/CMakeFiles/c10_cuda.dir/CUDADeviceAssertionHost.cpp.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4-minmax-fp32-scalar-imagic.c.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/operators.dir/src/operators/unary-elementwise-nc.c.o [ 26%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/RefImplementations.cc.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_xth/channel_impl.h:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of ‘TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::channel::cuda_xth::ChannelImpl; TOp = tensorpipe::channel::cuda_xth::SendOperation; int64_t = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:57:20: required from ‘void tensorpipe::OpsStateMachine::advanceOperation(Iter) [with TSubject = tensorpipe::channel::cuda_xth::ChannelImpl; TOp = tensorpipe::channel::cuda_xth::SendOperation]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_xth/channel_impl.cc:111:28: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘std::deque >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 102 | if (offset < 0 || offset >= ops_.size()) { | ~~~~~~~^~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_xth/channel_impl.h:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro ‘unlikely’ 27 | #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:226:3: note: in expansion of macro ‘__TP_DCHECK_CMP’ 226 | __TP_DCHECK_CMP(a, b, op) | ^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro ‘_TP_DCHECK_CMP’ 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro ‘TP_DCHECK_EQ’ 106 | TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); | ^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of ‘TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::channel::cuda_xth::ChannelImpl; TOp = tensorpipe::channel::cuda_xth::RecvOperation; int64_t = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:57:20: required from ‘void tensorpipe::OpsStateMachine::advanceOperation(Iter) [with TSubject = tensorpipe::channel::cuda_xth::ChannelImpl; TOp = tensorpipe::channel::cuda_xth::RecvOperation]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_xth/channel_impl.cc:211:28: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘std::deque >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 102 | if (offset < 0 || offset >= ops_.size()) { | ~~~~~~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro ‘unlikely’ 27 | #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:226:3: note: in expansion of macro ‘__TP_DCHECK_CMP’ 226 | __TP_DCHECK_CMP(a, b, op) | ^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro ‘_TP_DCHECK_CMP’ 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro ‘TP_DCHECK_EQ’ 106 | TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); | ^~~~~~~~~~~~ [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4-minmax-fp32-scalar-lrintf.c.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x2-minmax-fp32-scalar-fmagic.c.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x2-minmax-fp32-scalar-imagic.c.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x2-minmax-fp32-scalar-lrintf.c.o [ 26%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/reorder/cpu_reorder_regular_f16.cpp.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4-minmax-fp32-scalar-fmagic.c.o [ 26%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/reorder/cpu_reorder_regular_f32_bf16.cpp.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4-minmax-fp32-scalar-imagic.c.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4-minmax-fp32-scalar-lrintf.c.o [ 26%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/Utils.cc.o [ 26%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/reorder/cpu_reorder_regular_f32_f16.cpp.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-4x2-minmax-fp32-scalar-fmagic.c.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/operators.dir/src/operators/unpooling-nhwc.c.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-4x2-minmax-fp32-scalar-imagic.c.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-4x2-minmax-fp32-scalar-lrintf.c.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-4x4-minmax-fp32-scalar-fmagic.c.o [ 26%] Building CXX object c10/cuda/CMakeFiles/c10_cuda.dir/CUDAException.cpp.o [ 26%] Built target operators [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-4x4-minmax-fp32-scalar-imagic.c.o [ 26%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/reorder/cpu_reorder_regular_f32_f32.cpp.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-4x4-minmax-fp32-scalar-lrintf.c.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p1c-minmax-fp32-scalar-fmagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p1c-minmax-fp32-scalar-fmagic.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p1c-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:764:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 764 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p1c__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p1c-minmax-fp32-scalar-imagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p1c-minmax-fp32-scalar-imagic.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p1c-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:768:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 768 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p1c__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 26%] Building C object sleef/src/libm/CMakeFiles/sleef.dir/sleefsp.c.o [ 26%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_cuda.dir/channel/cuda_xth/context_impl.cc.o Generating rules > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/Makefile.rules [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p1c-minmax-fp32-scalar-lrintf.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p1c-minmax-fp32-scalar-lrintf.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p1c-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:772:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 772 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p1c__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p1c-minmax-rndnu-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p1c-minmax-rndnu-scalar.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p1c-minmax-rndnu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:760:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 760 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_rndnu_ukernel_9p1c__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p2c-minmax-fp32-scalar-fmagic.c.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p2c-minmax-fp32-scalar-imagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p2c-minmax-fp32-scalar-imagic.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p2c-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:769:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 769 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p2c__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p2c-minmax-fp32-scalar-fmagic.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p2c-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:765:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 765 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p2c__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p2c-minmax-fp32-scalar-lrintf.c.o Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sum_i8.cu [ 26%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_cuda.dir/channel/cuda_xth/factory.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p2c-minmax-fp32-scalar-lrintf.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p2c-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:773:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 773 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p2c__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p2c-minmax-rndnu-scalar.c.o [ 26%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_cuda.dir/channel/cuda_basic/channel_impl.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p2c-minmax-rndnu-scalar.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p2c-minmax-rndnu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:761:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 761 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_rndnu_ukernel_9p2c__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 26%] Building CXX object c10/cuda/CMakeFiles/c10_cuda.dir/CUDAFunctions.cpp.o [ 26%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/reorder/cpu_reorder_regular_f32_s32.cpp.o [ 26%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/reorder/cpu_reorder_regular_f32_s8.cpp.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p4c-minmax-fp32-scalar-fmagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p4c-minmax-fp32-scalar-fmagic.c:26:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p4c-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:766:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 766 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p4c__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 26%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/reorder/cpu_reorder_regular_f32_u8.cpp.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p4c-minmax-fp32-scalar-imagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p4c-minmax-fp32-scalar-imagic.c:26:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p4c-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:770:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 770 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p4c__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/cuda.h:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_xth/channel_impl.h:15, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_xth/context_impl.cc:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h: In function ‘bool tensorpipe::isValidUuid(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h:58:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 58 | for (int i = 0; i < uuid.size(); i++) { | ~~^~~~~~~~~~~~~ [ 26%] Building CXX object c10/cuda/CMakeFiles/c10_cuda.dir/CUDAMallocAsyncAllocator.cpp.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p4c-minmax-fp32-scalar-lrintf.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p4c-minmax-fp32-scalar-lrintf.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p4c-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:774:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 774 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p4c__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 26%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx2_vnni_u8_copy_bt_kern_autogen.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/cuda.h:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_xth/channel_impl.h:15, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_xth/factory.cc:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h: In function ‘bool tensorpipe::isValidUuid(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h:58:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 58 | for (int i = 0; i < uuid.size(); i++) { | ~~^~~~~~~~~~~~~ [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p4c-minmax-rndnu-scalar.c.o [ 26%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx2_vnni_u8_copy_sum_an_kern_autogen.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p4c-minmax-rndnu-scalar.c:26:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p4c-minmax-rndnu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:762:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 762 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_rndnu_ukernel_9p4c__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p1c-minmax-fp32-scalar-fmagic.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/cuda.h:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_basic/channel_impl.h:17, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_basic/channel_impl.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h: In function ‘bool tensorpipe::isValidUuid(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h:58:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 58 | for (int i = 0; i < uuid.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p1c-minmax-fp32-scalar-fmagic.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p1c-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:856:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 856 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p1c__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p1c-minmax-fp32-scalar-imagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p1c-minmax-fp32-scalar-imagic.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p1c-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:860:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 860 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p1c__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 26%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx2_vnni_u8_copy_sum_at_kern_autogen.cpp.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p1c-minmax-fp32-scalar-lrintf.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p1c-minmax-fp32-scalar-lrintf.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p1c-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:864:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 864 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p1c__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p2c-minmax-fp32-scalar-fmagic.c.o [ 26%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/reorder/cpu_reorder_regular_s32.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p2c-minmax-fp32-scalar-fmagic.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p2c-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:857:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 857 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p2c__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p2c-minmax-fp32-scalar-imagic.c.o [ 26%] Building C object sleef/src/libm/CMakeFiles/sleef.dir/rempitab.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p2c-minmax-fp32-scalar-imagic.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p2c-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:861:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 861 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p2c__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 26%] Building CXX object c10/cuda/CMakeFiles/c10_cuda.dir/CUDAMiscFunctions.cpp.o [ 26%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx2_vnni_u8_copy_sum_bn_kern_autogen.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_basic/channel_impl.h:20: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of ‘TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::channel::cuda_basic::ChannelImpl; TOp = tensorpipe::channel::cuda_basic::ChunkSendOperation; int64_t = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:57:20: required from ‘void tensorpipe::OpsStateMachine::advanceOperation(Iter) [with TSubject = tensorpipe::channel::cuda_basic::ChannelImpl; TOp = tensorpipe::channel::cuda_basic::ChunkSendOperation]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_basic/channel_impl.cc:113:35: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘std::deque >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 102 | if (offset < 0 || offset >= ops_.size()) { | ~~~~~~~^~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_basic/channel_impl.h:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro ‘unlikely’ 27 | #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:226:3: note: in expansion of macro ‘__TP_DCHECK_CMP’ 226 | __TP_DCHECK_CMP(a, b, op) | ^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro ‘_TP_DCHECK_CMP’ 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro ‘TP_DCHECK_EQ’ 106 | TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); | ^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of ‘TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::channel::cuda_basic::ChannelImpl; TOp = tensorpipe::channel::cuda_basic::ChunkRecvOperation; int64_t = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:57:20: required from ‘void tensorpipe::OpsStateMachine::advanceOperation(Iter) [with TSubject = tensorpipe::channel::cuda_basic::ChannelImpl; TOp = tensorpipe::channel::cuda_basic::ChunkRecvOperation]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_basic/channel_impl.cc:376:35: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘std::deque >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 102 | if (offset < 0 || offset >= ops_.size()) { | ~~~~~~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro ‘unlikely’ 27 | #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:226:3: note: in expansion of macro ‘__TP_DCHECK_CMP’ 226 | __TP_DCHECK_CMP(a, b, op) | ^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro ‘_TP_DCHECK_CMP’ 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro ‘TP_DCHECK_EQ’ 106 | TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); | ^~~~~~~~~~~~ [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p2c-minmax-fp32-scalar-lrintf.c.o Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sum_u32.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sum_i32.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sum_u8.cu [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p4c-minmax-fp32-scalar-fmagic.c.o [ 26%] Building C object sleef/src/libm/CMakeFiles/sleef.dir/sleefld.c.o Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sum_i64.cu [ 26%] Building CXX object c10/cuda/CMakeFiles/c10_cuda.dir/CUDAStream.cpp.o Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sum_u64.cu [ 26%] Building C object sleef/src/libm/CMakeFiles/sleef.dir/sleefqp.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p2c-minmax-fp32-scalar-lrintf.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p2c-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:865:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 865 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p2c__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sum_f16.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p4c-minmax-fp32-scalar-fmagic.c:26:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p4c-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:858:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 858 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p4c__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sum_f32.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sum_f64.cu [ 26%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx2_vnni_u8_copy_sum_bt_kern_autogen.cpp.o Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sum_bf16.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_prod_i8.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_prod_u8.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_prod_i32.cu [ 26%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/cpp/cpp_enum.cc.o Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_prod_u32.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_prod_i64.cu [ 26%] Linking C static library ../../lib/libsleef.a Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_prod_u64.cu [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p4c-minmax-fp32-scalar-imagic.c.o Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_prod_f16.cu [ 26%] Building CXX object c10/cuda/CMakeFiles/c10_cuda.dir/impl/CUDAGuardImpl.cpp.o Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_prod_f32.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_prod_f64.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_prod_bf16.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p4c-minmax-fp32-scalar-imagic.c:26:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p4c-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:862:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 862 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p4c__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_min_i8.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_min_u8.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_min_i32.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_min_u32.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_min_i64.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_min_u64.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_min_f16.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_min_f32.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_min_f64.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_min_bf16.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_max_i8.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_max_u8.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_max_i32.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_max_u32.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_max_i64.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_max_u64.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_max_f16.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_max_f32.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_max_f64.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_max_bf16.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_premulsum_i8.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_premulsum_u8.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_premulsum_i32.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_premulsum_u32.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_premulsum_i64.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_premulsum_u64.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_premulsum_f16.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_premulsum_f32.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_premulsum_f64.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_premulsum_bf16.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_i8.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_u8.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_i32.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_u32.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_i64.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_u64.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_f16.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_f32.cu [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p4c-minmax-fp32-scalar-lrintf.c.o Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_f64.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_bf16.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sum_i8.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p4c-minmax-fp32-scalar-lrintf.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p4c-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:866:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 866 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p4c__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 26%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/IpcFabricConfigClient.cpp.o [ 26%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/Logger.cpp.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-scalar-x1.c:21:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:386:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 386 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-scalar-x2.c:21:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:387:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 387 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/memory-planner.c.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-scalar-x3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-scalar-x3.c:21:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-scalar-x3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:388:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 388 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__scalar_x3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 26%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/init.cpp.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-scalar-x4.c.o [ 26%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/reorder/cpu_reorder_regular_s8.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-scalar-x4.c:21:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:389:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 389 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/runtime.c.o [ 26%] Built target sleef [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-fmagic-c1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-fmagic-c1.c:24:47: warning: argument 8 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-fmagic-c1.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:111:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 111 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:145:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 145 | DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7p7x__scalar_fmagic_c1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 26%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/output_csv.cpp.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-fmagic-c2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-fmagic-c2.c:24:47: warning: argument 8 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-fmagic-c2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:111:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 111 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:146:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 146 | DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7p7x__scalar_fmagic_c2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/FabricManager.h:12, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/IpcFabricConfigClient.h:21, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/IpcFabricConfigClient.cpp:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h: In instantiation of ‘auto dynolog::ipcfabric::EndPoint::buildCtxt_(const std::vector&, unsigned int) [with long unsigned int kMaxNumFds = 0]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h:116:17: required from ‘auto dynolog::ipcfabric::EndPoint::buildSendCtxt(const std::string&, const std::vector&, const std::vector&) [with long unsigned int kMaxNumFds = 0; std::string = std::__cxx11::basic_string]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/FabricManager.h:126:36: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h:238:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 238 | for (int i = 0; i < payload.size(); i++) { | ~~^~~~~~~~~~~~~~~~ [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-fmagic-c4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-fmagic-c4.c:24:47: warning: argument 8 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-fmagic-c4.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:111:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 111 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:147:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 147 | DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7p7x__scalar_fmagic_c4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_enum.cc:38: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In member function ‘void google::protobuf::compiler::cpp::NamespaceOpener::ChangeTo(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:796:32: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 796 | for (int i = common_idx; i < name_stack_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-imagic-c1.c.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-imagic-c1.c:24:47: warning: argument 8 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-imagic-c1.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:111:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 111 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:141:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 141 | DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7p7x__scalar_imagic_c1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h: In instantiation of ‘bool dynolog::ipcfabric::EndPoint::tryPeekMsg(TCtxt&) [with long unsigned int kMaxNumFds = 0; TCtxt = dynolog::ipcfabric::EndPointCtxt<0>]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/FabricManager.h:155:33: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h:174:5: warning: ‘throw’ will always call ‘terminate’ [-Wterminate] 174 | throw std::runtime_error(std::strerror(errno)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h: In instantiation of ‘const char* dynolog::ipcfabric::EndPoint::getName(const TCtxt&) const [with long unsigned int kMaxNumFds = 0; TCtxt = dynolog::ipcfabric::EndPointCtxt<0>]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/FabricManager.h:170:43: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h:185:9: warning: ‘throw’ will always call ‘terminate’ [-Wterminate] 185 | throw std::invalid_argument( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 186 | "Unexpected socket name: " + std::string(ctxt.msg_name.sun_path) + | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 187 | ". Expected to start with " + std::string(socket_dir)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h:192:9: warning: ‘throw’ will always call ‘terminate’ [-Wterminate] 192 | throw std::invalid_argument( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 193 | "Expected abstract socket, got " + | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 194 | std::string(ctxt.msg_name.sun_path)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h: In instantiation of ‘bool dynolog::ipcfabric::EndPoint::tryRcvMsg(TCtxt&) [with long unsigned int kMaxNumFds = 0; TCtxt = dynolog::ipcfabric::EndPointCtxt<0>]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/FabricManager.h:178:34: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h:160:5: warning: ‘throw’ will always call ‘terminate’ [-Wterminate] 160 | throw std::runtime_error(std::strerror(errno)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-imagic-c2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::FieldDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:736:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 749 | for (int i = 0; i < path.size(); ++i) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::Descriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:737:68: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:738:72: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumValueDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:740:19: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::OneofDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:742:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-imagic-c4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-imagic-c2.c:24:47: warning: argument 8 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-imagic-c2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:111:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 111 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:142:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 142 | DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7p7x__scalar_imagic_c2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 26%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/cpp/cpp_enum_field.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-imagic-c4.c:24:47: warning: argument 8 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-imagic-c4.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:111:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 111 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:143:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 143 | DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7p7x__scalar_imagic_c4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 26%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx512_core_gemm_s8u8s32_kern.cpp.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-lrintf-c1.c.o [ 26%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx512_core_gemv_s8x8s32.cpp.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/abs.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-lrintf-c1.c:25:47: warning: argument 8 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-lrintf-c1.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:111:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 111 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:149:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 149 | DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7p7x__scalar_lrintf_c1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-lrintf-c2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-lrintf-c2.c:25:47: warning: argument 8 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-lrintf-c2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:111:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 111 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:150:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 150 | DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7p7x__scalar_lrintf_c2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/add2.c.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-lrintf-c4.c.o [ 26%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/reorder/cpu_reorder_regular_u8.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-lrintf-c4.c:25:47: warning: argument 8 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-lrintf-c4.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:111:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 111 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:151:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 151 | DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7p7x__scalar_lrintf_c4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/argmax-pooling-2d.c.o [ 26%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp.o [ 26%] Building CXX object c10/cuda/CMakeFiles/c10_cuda.dir/impl/CUDATest.cpp.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-fmagic-c1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-fmagic-c1.c:23:47: warning: argument 7 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-fmagic-c1.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:162:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 162 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:196:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 196 | DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7x__scalar_fmagic_c1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/average-pooling-2d.c.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-fmagic-c2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-fmagic-c2.c:23:47: warning: argument 7 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-fmagic-c2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:162:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 162 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:197:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 197 | DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7x__scalar_fmagic_c2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 26%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/rnn/brgemm_cell_common.cpp.o [ 26%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_cuda.dir/channel/cuda_basic/context_impl.cc.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/bankers-rounding.c.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-fmagic-c4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-fmagic-c4.c:23:47: warning: argument 7 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-fmagic-c4.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:162:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 162 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:198:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 198 | DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7x__scalar_fmagic_c4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sum_u32.cu [ 26%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/rnn/cell_common.cpp.o Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sum_i32.cu [ 26%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/output_json.cpp.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-imagic-c1.c.o Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sum_u8.cu [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/ceiling.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/clamp.c.o Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sum_i64.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sum_u64.cu [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-imagic-c2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-imagic-c1.c:23:47: warning: argument 7 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-imagic-c1.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:162:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 162 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:192:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 192 | DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7x__scalar_imagic_c1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sum_f16.cu [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-imagic-c4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-imagic-c2.c:23:47: warning: argument 7 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-imagic-c2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:162:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 162 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:193:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 193 | DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7x__scalar_imagic_c2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sum_f32.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sum_f64.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sum_bf16.cu In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_field.h:42, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_enum_field.h:40, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_enum_field.cc:35: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In member function ‘void google::protobuf::compiler::cpp::NamespaceOpener::ChangeTo(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:796:32: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 796 | for (int i = common_idx; i < name_stack_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-imagic-c4.c:23:47: warning: argument 7 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-imagic-c4.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:162:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 162 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:194:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 194 | DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7x__scalar_imagic_c4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_prod_i8.cu [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-lrintf-c1.c.o Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_prod_u8.cu [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/concatenate.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/convert.c.o Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_prod_i32.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-lrintf-c1.c:24:47: warning: argument 7 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-lrintf-c1.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:162:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 162 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:200:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 200 | DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7x__scalar_lrintf_c1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_prod_u32.cu [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-lrintf-c2.c.o Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_prod_i64.cu [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/convolution-2d.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::FieldDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:736:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 749 | for (int i = 0; i < path.size(); ++i) { | ~~^~~~~~~~~~~~~ [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-lrintf-c4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::Descriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:737:68: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:738:72: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumValueDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:740:19: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::OneofDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:742:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_prod_u64.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-lrintf-c2.c:24:47: warning: argument 7 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-lrintf-c2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:162:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 162 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:201:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 201 | DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7x__scalar_lrintf_c2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-lrintf-c4.c:24:47: warning: argument 7 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-lrintf-c4.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:162:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 162 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:202:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 202 | DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7x__scalar_lrintf_c4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_prod_f16.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_prod_f32.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_prod_f64.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_prod_bf16.cu [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x2-minmax-fp32-scalar-fmagic.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/copy.c.o Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_min_i8.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_min_u8.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_min_i32.cu [ 27%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/rnn/cell_gru.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x2-minmax-fp32-scalar-fmagic.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x2-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1585:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1585 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x2__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_min_u32.cu [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/deconvolution-2d.c.o Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_min_i64.cu [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x2-minmax-fp32-scalar-imagic.c.o Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_min_u64.cu [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x2-minmax-fp32-scalar-lrintf.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/depth-to-space.c.o Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_min_f16.cu [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/depthwise-convolution-2d.c.o Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_min_f32.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x2-minmax-fp32-scalar-imagic.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x2-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1594:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1594 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x2__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/rnn/cell_gru_lbr.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x2-minmax-fp32-scalar-lrintf.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x2-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1603:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1603 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x2__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_min_f64.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_min_bf16.cu [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x2-minmax-rndnu-scalar.c.o Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_max_i8.cu [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4-minmax-fp32-scalar-fmagic.c.o Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_max_u8.cu [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/divide.c.o Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_max_i32.cu [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/elu.c.o Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_max_u32.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x2-minmax-rndnu-scalar.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x2-minmax-rndnu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1576:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1576 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_rndnu_ukernel_1x2__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_max_i64.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_max_u64.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4-minmax-fp32-scalar-fmagic.c:26:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1586:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1586 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_max_f16.cu [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4-minmax-fp32-scalar-imagic.c.o Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_max_f32.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_max_f64.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_max_bf16.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_premulsum_i8.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_premulsum_u8.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_premulsum_i32.cu [ 27%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/cpp/cpp_extension.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4-minmax-fp32-scalar-imagic.c:26:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1595:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1595 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/even-split.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/floor.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4-minmax-fp32-scalar-lrintf.c.o Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_premulsum_u32.cu [ 27%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/rnn/ref_postgemm_gru.cpp.o Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_premulsum_i64.cu [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4-minmax-rndnu-scalar.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/cuda.h:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_basic/context_impl.h:13, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_basic/context_impl.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h: In function ‘bool tensorpipe::isValidUuid(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h:58:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 58 | for (int i = 0; i < uuid.size(); i++) { | ~~^~~~~~~~~~~~~ Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_premulsum_u64.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_premulsum_f16.cu [ 27%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/cpp/cpp_field.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4-minmax-fp32-scalar-lrintf.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1604:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1604 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_premulsum_f32.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4-minmax-rndnu-scalar.c:26:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4-minmax-rndnu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1577:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1577 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_rndnu_ukernel_1x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_premulsum_f64.cu [ 27%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/cpp/cpp_file.cc.o [ 27%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/rnn/ref_postgemm_gru_lbr.cpp.o Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_premulsum_bf16.cu [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x2-minmax-fp32-scalar-fmagic.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x2-minmax-fp32-scalar-imagic.c.o Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_i8.cu [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/fully-connected.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x2-minmax-fp32-scalar-imagic.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x2-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1596:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1596 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x2__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_u8.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_i32.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_u32.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x2-minmax-fp32-scalar-fmagic.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x2-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1587:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1587 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x2__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/global-average-pooling.c.o Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_i64.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_u64.cu [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/hardswish.c.o Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_f16.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_f32.cu [ 27%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_cuda.dir/channel/cuda_basic/factory.cc.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x2-minmax-fp32-scalar-lrintf.c.o Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_f64.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_bf16.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sum_i8.cu [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/leaky-relu.c.o [ 27%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/rnn/ref_postgemm_lstm.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x2-minmax-fp32-scalar-lrintf.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x2-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1605:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1605 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x2__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/subgraph/leaky-relu.c: In function ‘xnn_define_leaky_relu’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/subgraph/leaky-relu.c:241:20: warning: comparison between ‘enum xnn_compute_type’ and ‘enum xnn_datatype’ [-Wenum-compare] 241 | if (compute_type == xnn_datatype_qint8 || compute_type == xnn_datatype_quint8) { | ^~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/subgraph/leaky-relu.c:241:58: warning: comparison between ‘enum xnn_compute_type’ and ‘enum xnn_datatype’ [-Wenum-compare] 241 | if (compute_type == xnn_datatype_qint8 || compute_type == xnn_datatype_quint8) { | ^~ [ 27%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/rnn/ref_postgemm_lstm_projection.cpp.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/max-pooling-2d.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x2-minmax-rndnu-scalar.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/maximum2.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4-minmax-fp32-scalar-fmagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x2-minmax-rndnu-scalar.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x2-minmax-rndnu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1578:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1578 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_rndnu_ukernel_2x2__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4-minmax-fp32-scalar-fmagic.c:26:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1588:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1588 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4-minmax-fp32-scalar-imagic.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/minimum2.c.o [ 27%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/rnn/ref_postgemm_rnn.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4-minmax-fp32-scalar-imagic.c:26:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1597:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1597 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx512_core_u8_copy_an_kern_autogen.cpp.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/multiply2.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4-minmax-fp32-scalar-lrintf.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4-minmax-fp32-scalar-lrintf.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1606:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1606 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/negate.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/prelu.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4-minmax-rndnu-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4-minmax-rndnu-scalar.c:26:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4-minmax-rndnu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1579:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1579 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_rndnu_ukernel_2x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx512_core_u8_copy_at_kern_autogen.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_extension.cc:37: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In member function ‘void google::protobuf::compiler::cpp::NamespaceOpener::ChangeTo(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:796:32: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 796 | for (int i = common_idx; i < name_stack_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ [ 27%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx512_core_u8_copy_bn_kern_autogen.cpp.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/sigmoid.c.o [ 27%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_cuda.dir/common/cuda_loop.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::FieldDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:736:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 749 | for (int i = 0; i < path.size(); ++i) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::Descriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:737:68: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:738:72: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumValueDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:740:19: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::OneofDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:742:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x2-minmax-fp32-scalar-fmagic.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_field.h:42, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_field.cc:35: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In member function ‘void google::protobuf::compiler::cpp::NamespaceOpener::ChangeTo(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:796:32: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 796 | for (int i = common_idx; i < name_stack_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ [ 27%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/rnn/ref_rnn.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/cuda.h:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_basic/channel_impl.h:17, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_basic/factory.cc:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h: In function ‘bool tensorpipe::isValidUuid(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h:58:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 58 | for (int i = 0; i < uuid.size(); i++) { | ~~^~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_field.h:42, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.h:44, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:35: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In member function ‘void google::protobuf::compiler::cpp::NamespaceOpener::ChangeTo(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:796:32: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 796 | for (int i = common_idx; i < name_stack_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x2-minmax-fp32-scalar-fmagic.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x2-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1589:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1589 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x2__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/softmax.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::FieldDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:736:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 749 | for (int i = 0; i < path.size(); ++i) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::Descriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:737:68: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:738:72: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumValueDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:740:19: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::OneofDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:742:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x2-minmax-fp32-scalar-imagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc: In constructor ‘google::protobuf::compiler::cpp::FileGenerator::FileGenerator(const google::protobuf::FileDescriptor*, const google::protobuf::compiler::cpp::Options&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:112:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 112 | for (int i = 0; i < msgs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:130:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 130 | for (int i = 0; i < service_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:141:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 141 | for (int i = 0; i < message_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x2-minmax-fp32-scalar-imagic.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x2-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1598:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1598 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x2__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc: In member function ‘void google::protobuf::compiler::cpp::FileGenerator::GenerateMacroUndefs(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:164:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 164 | for (int i = 0; i < fields.size(); i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:167:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 167 | for (int i = 0; i < GOOGLE_ARRAYSIZE(kMacroNames); ++i) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:174:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 174 | for (int i = 0; i < names_to_undef.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/space-to-depth-2d.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x2-minmax-fp32-scalar-lrintf.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc: In member function ‘void google::protobuf::compiler::cpp::FileGenerator::GenerateGlobalSource(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:627:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 627 | for (int i = 0; i < enum_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:632:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 632 | for (int i = 0; i < extension_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:638:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 638 | for (int i = 0; i < service_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc: In member function ‘void google::protobuf::compiler::cpp::FileGenerator::GenerateSource(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:658:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 658 | for (int i = 0; i < message_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:684:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 684 | for (int i = 0; i < enum_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:689:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 689 | for (int i = 0; i < message_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:698:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 698 | for (int i = 0; i < service_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:707:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 707 | for (int i = 0; i < extension_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:718:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 718 | for (int i = 0; i < message_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc: In member function ‘void google::protobuf::compiler::cpp::FileGenerator::GenerateReflectionInitializationCode(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:774:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 774 | for (int i = 0; i < message_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:785:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 785 | for (int i = 0; i < message_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:797:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 797 | for (int i = 0; i < message_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:844:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 844 | for (int i = 0; i < file_data.size();) { | ~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:845:48: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 845 | for (int j = 0; j < kBytesPerLine && i < file_data.size(); ++i, ++j) { | ~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:854:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 854 | for (int i = 0; i < file_data.size(); i += kBytesPerLine) { | ~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc: In member function ‘void google::protobuf::compiler::cpp::FileGenerator::GenerateInitForSCC(const google::protobuf::compiler::SCC*, const CrossFileReferences&, google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:941:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 941 | for (int i = 0; i < message_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:968:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 968 | for (int i = 0; i < message_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc: In member function ‘void google::protobuf::compiler::cpp::FileGenerator::GenerateTables(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:1033:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1033 | for (int i = 0; i < message_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:1056:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1056 | for (int i = 0; i < message_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:1076:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1076 | for (int i = 0; i < message_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:1100:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1100 | for (int i = 0; i < message_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:1117:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1117 | for (int i = 0; i < message_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/square-root.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x2-minmax-fp32-scalar-lrintf.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x2-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1607:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1607 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x2__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc: In member function ‘void google::protobuf::compiler::cpp::FileGenerator::GenerateForwardDeclarations(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:1190:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1190 | for (int i = 0; i < fields.size(); i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:1204:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1204 | for (int i = 0; i < classes.size(); i++) { | ~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:1209:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1209 | for (int i = 0; i < enums.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc: In member function ‘void google::protobuf::compiler::cpp::FileGenerator::GenerateMessageDefinitions(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:1429:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1429 | for (int i = 0; i < message_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc: In member function ‘void google::protobuf::compiler::cpp::FileGenerator::GenerateEnumDefinitions(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:1441:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1441 | for (int i = 0; i < enum_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc: In member function ‘void google::protobuf::compiler::cpp::FileGenerator::GenerateServiceDefinitions(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:1450:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1450 | for (int i = 0; i < service_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc: In member function ‘void google::protobuf::compiler::cpp::FileGenerator::GenerateInlineFunctionDefinitions(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:1484:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1484 | for (int i = 0; i < message_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:1496:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1496 | for (int i = 0; i < message_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc: In member function ‘void google::protobuf::compiler::cpp::FileGenerator::GenerateProto2NamespaceEnumSpecializations(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:1513:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1513 | for (int i = 0; i < enum_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx512_core_u8_copy_bt_kern_autogen.cpp.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x2-minmax-rndnu-scalar.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/square.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::FieldDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:736:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 749 | for (int i = 0; i < path.size(); ++i) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::Descriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:737:68: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:738:72: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumValueDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:740:19: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::OneofDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:742:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x2-minmax-rndnu-scalar.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x2-minmax-rndnu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1580:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1580 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_rndnu_ukernel_3x2__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/squared-difference.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4-minmax-fp32-scalar-fmagic.c.o [ 27%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/cpp/cpp_generator.cc.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/cuda.h:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/cuda_loop.cc:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h: In function ‘bool tensorpipe::isValidUuid(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h:58:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 58 | for (int i = 0; i < uuid.size(); i++) { | ~~^~~~~~~~~~~~~ [ 27%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/rnn/rnn_utils.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4-minmax-fp32-scalar-fmagic.c:26:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/static-constant-pad.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1590:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1590 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx512_core_u8_copy_sum_an_kern_autogen.cpp.o [ 27%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx512_core_u8_copy_sum_at_kern_autogen.cpp.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4-minmax-fp32-scalar-imagic.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4-minmax-fp32-scalar-lrintf.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4-minmax-fp32-scalar-imagic.c:26:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1599:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1599 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/static-reshape.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4-minmax-rndnu-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4-minmax-fp32-scalar-lrintf.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1608:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1608 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4-minmax-rndnu-scalar.c:26:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4-minmax-rndnu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1581:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1581 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_rndnu_ukernel_3x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x2-minmax-fp32-scalar-fmagic.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x2-minmax-fp32-scalar-imagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x2-minmax-fp32-scalar-fmagic.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x2-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1591:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1591 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_4x2__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/static-resize-bilinear-2d.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x2-minmax-fp32-scalar-lrintf.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x2-minmax-fp32-scalar-imagic.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x2-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1600:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1600 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_4x2__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x2-minmax-fp32-scalar-lrintf.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x2-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1609:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1609 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_4x2__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x2-minmax-rndnu-scalar.c.o Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sum_i32.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sum_u8.cu [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4-minmax-fp32-scalar-fmagic.c.o [ 27%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx512_core_u8_copy_sum_bn_kern_autogen.cpp.o Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sum_u32.cu [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4-minmax-fp32-scalar-imagic.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/static-slice.c.o Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sum_i64.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x2-minmax-rndnu-scalar.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x2-minmax-rndnu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1582:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1582 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_rndnu_ukernel_4x2__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sum_u64.cu [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4-minmax-fp32-scalar-lrintf.c.o Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sum_f16.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4-minmax-fp32-scalar-fmagic.c:26:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1592:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1592 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_4x4__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sum_f32.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sum_f64.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sum_bf16.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_prod_i8.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4-minmax-fp32-scalar-imagic.c:26:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1601:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1601 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_4x4__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_prod_u8.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_prod_i32.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_prod_u32.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_prod_i64.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_prod_u64.cu [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4-minmax-rndnu-scalar.c.o Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_prod_f16.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_prod_f32.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_prod_f64.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_prod_bf16.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_min_i8.cu [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/static-transpose.c.o Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_min_u8.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4-minmax-rndnu-scalar.c:26:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4-minmax-rndnu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1583:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1583 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_rndnu_ukernel_4x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_min_i32.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_min_u32.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_min_i64.cu [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x2-minmax-fp32-scalar-fmagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4-minmax-fp32-scalar-lrintf.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1610:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1610 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_4x4__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_min_u64.cu [ 27%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx512_core_u8_copy_sum_bt_kern_autogen.cpp.o Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_min_f16.cu [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x2-minmax-fp32-scalar-imagic.c.o Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_min_f32.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_min_f64.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_min_bf16.cu [ 27%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/jit_utils/jit_utils.cpp.o Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_max_i8.cu [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/subtract.c.o Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_max_u8.cu [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x2-minmax-fp32-scalar-lrintf.c.o Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_max_i32.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_max_u32.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_max_i64.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_max_u64.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_max_f16.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_max_f32.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_max_f64.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_max_bf16.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_premulsum_i8.cu [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x2-minmax-rndnu-scalar.c.o Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_premulsum_u8.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_premulsum_i32.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_premulsum_u32.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_premulsum_i64.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_premulsum_u64.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_premulsum_f16.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_premulsum_f32.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_premulsum_f64.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_premulsum_bf16.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sumpostdiv_i8.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sumpostdiv_u8.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sumpostdiv_i32.cu [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4-minmax-fp32-scalar-fmagic.c.o Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sumpostdiv_u32.cu [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4-minmax-fp32-scalar-imagic.c.o Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sumpostdiv_i64.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sumpostdiv_u64.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sumpostdiv_f16.cu [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4-minmax-fp32-scalar-lrintf.c.o Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sumpostdiv_f32.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sumpostdiv_f64.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sumpostdiv_bf16.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sum_i8.cu [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/unpooling-2d.c.o [ 27%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx_kernel_b0_b_gemm_s8u8s32_kern_autogen.cpp.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/validation.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4-minmax-rndnu-scalar.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_field.h:42, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.h:44, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_generator.cc:42: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In member function ‘void google::protobuf::compiler::cpp::NamespaceOpener::ChangeTo(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:796:32: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 796 | for (int i = common_idx; i < name_stack_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_generator.cc: In member function ‘virtual bool google::protobuf::compiler::cpp::CppGenerator::Generate(const google::protobuf::FileDescriptor*, const std::string&, google::protobuf::compiler::GeneratorContext*, std::string*) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_generator.cc:83:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::__cxx11::basic_string > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 83 | for (int i = 0; i < options.size(); i++) { | ~~^~~~~~~~~~~~~~~~ [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/tensor.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x2-minmax-fp32-scalar-fmagic.c.o [ 27%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/jit_utils/linux_perf/linux_perf.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::FieldDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:736:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 749 | for (int i = 0; i < path.size(); ++i) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::Descriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:737:68: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:738:72: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumValueDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:740:19: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::OneofDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:742:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x2-minmax-fp32-scalar-imagic.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x2-minmax-fp32-scalar-lrintf.c.o [ 27%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx_kernel_b0_c_gemm_s8u8s32_kern_autogen.cpp.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x2-minmax-rndnu-scalar.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4-minmax-fp32-scalar-fmagic.c.o [ 27%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/cpp/cpp_helpers.cc.o [ 27%] Built target subgraph [ 27%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/cpp/cpp_map_field.cc.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:47: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/printer.h: In instantiation of ‘void google::protobuf::io::AnnotationProtoCollector::AddAnnotation(size_t, size_t, const std::string&, const std::vector&) [with AnnotationProto = google::protobuf::GeneratedCodeInfo; size_t = long unsigned int; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/printer.h:85:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/printer.h:90:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 90 | for (int i = 0; i < path.size(); ++i) { | ~~^~~~~~~~~~~~~ [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4-minmax-fp32-scalar-imagic.c.o [ 27%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/cpp/cpp_message.cc.o [ 27%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/cpp/cpp_message_field.cc.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4-minmax-fp32-scalar-lrintf.c.o [ 27%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx_kernel_b0_gemm_s8u8s32_kern_autogen.cpp.o [ 27%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/cpp/cpp_padding_optimizer.cc.o [ 27%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_cuda.dir/channel/cuda_ipc/channel_impl.cc.o [ 27%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx_kernel_b0_r_gemm_s8u8s32_kern_autogen.cpp.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4-minmax-rndnu-scalar.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x2-minmax-fp32-scalar-fmagic.c.o [ 27%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_cuda.dir/channel/cuda_ipc/context_impl.cc.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x2-minmax-fp32-scalar-imagic.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x2-minmax-fp32-scalar-lrintf.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x2-minmax-rndnu-scalar.c.o [ 27%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx_kernel_b_gemm_s8u8s32_kern_autogen.cpp.o [ 27%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx_kernel_c_gemm_s8u8s32_kern_autogen.cpp.o [ 27%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/cpp/cpp_primitive_field.cc.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4-minmax-fp32-scalar-fmagic.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4-minmax-fp32-scalar-imagic.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.cc:35: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In member function ‘void google::protobuf::compiler::cpp::NamespaceOpener::ChangeTo(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:796:32: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 796 | for (int i = common_idx; i < name_stack_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_field.h:42, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message_field.h:40, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_map_field.h:37, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_map_field.cc:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In member function ‘void google::protobuf::compiler::cpp::NamespaceOpener::ChangeTo(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:796:32: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 796 | for (int i = common_idx; i < name_stack_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ [ 27%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/cpp/cpp_service.cc.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4-minmax-fp32-scalar-lrintf.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.cc: In function ‘std::string google::protobuf::compiler::cpp::UnderscoresToCamelCase(const std::string&, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.cc:279:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 279 | for (int i = 0; i < input.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.cc: In function ‘std::string google::protobuf::compiler::cpp::FilenameIdentifier(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.cc:738:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 738 | for (int i = 0; i < filename.size(); i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.cc: In member function ‘google::protobuf::compiler::cpp::MessageAnalysis google::protobuf::compiler::cpp::MessageSCCAnalyzer::GetSCCAnalysis(const google::protobuf::compiler::SCC*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.cc:1167:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1167 | for (int i = 0; i < scc->descriptors.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_field.h:42, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message_field.h:40, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message_field.cc:35: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In member function ‘void google::protobuf::compiler::cpp::NamespaceOpener::ChangeTo(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:796:32: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 796 | for (int i = common_idx; i < name_stack_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::FieldDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:736:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 749 | for (int i = 0; i < path.size(); ++i) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::Descriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:737:68: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:738:72: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumValueDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:740:19: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::OneofDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:742:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] [ 27%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_cuda.dir/channel/cuda_ipc/factory.cc.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/cuda.h:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/context_impl.h:19, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/channel_impl.h:18, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/channel_impl.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h: In function ‘bool tensorpipe::isValidUuid(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h:58:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 58 | for (int i = 0; i < uuid.size(); i++) { | ~~^~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_field.h:42, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.h:41, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc:35: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In member function ‘void google::protobuf::compiler::cpp::NamespaceOpener::ChangeTo(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:796:32: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 796 | for (int i = common_idx; i < name_stack_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::FieldDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:736:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 749 | for (int i = 0; i < path.size(); ++i) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::Descriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:737:68: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:738:72: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumValueDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:740:19: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::OneofDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:742:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::FieldDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:736:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 749 | for (int i = 0; i < path.size(); ++i) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::Descriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:737:68: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:738:72: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumValueDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:740:19: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::OneofDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:742:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc: In function ‘std::string google::protobuf::compiler::cpp::{anonymous}::ConditionalToCheckBitmasks(const std::vector&, bool, google::protobuf::StringPiece)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc:82:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 82 | for (int i = 0; i < masks.size(); i++) { | ~~^~~~~~~~~~~~~~ [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4-minmax-rndnu-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc: In member function ‘void google::protobuf::compiler::cpp::{anonymous}::ColdChunkSkipper::OnStartChunk(int, int, const std::string&, google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc:512:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 512 | while (limit_chunk_ < chunks_.size() && IsColdChunk(limit_chunk_)) { | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_padding_optimizer.cc:33: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In member function ‘void google::protobuf::compiler::cpp::NamespaceOpener::ChangeTo(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:796:32: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 796 | for (int i = common_idx; i < name_stack_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_padding_optimizer.cc: In member function ‘virtual void google::protobuf::compiler::cpp::PaddingOptimizer::OptimizeLayout(std::vector*, const google::protobuf::compiler::cpp::Options&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_padding_optimizer.cc:140:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 140 | for (int i = 0; i < fields->size(); ++i) { | ~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_padding_optimizer.cc:178:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 178 | for (int i = 0; i < aligned_to_1[f].size(); i += 4) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_padding_optimizer.cc:180:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 180 | for (int j = i; j < aligned_to_1[f].size() && j < i + 4; ++j) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_padding_optimizer.cc:192:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 192 | for (int i = 0; i < aligned_to_4[f].size(); i += 2) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_padding_optimizer.cc:194:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 194 | for (int j = i; j < aligned_to_4[f].size() && j < i + 2; ++j) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_padding_optimizer.cc:197:13: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 197 | if (i == aligned_to_4[f].size() - 1) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_padding_optimizer.cc:217:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 217 | for (int i = 0; i < aligned_to_8[f].size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::FieldDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:736:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 749 | for (int i = 0; i < path.size(); ++i) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::Descriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:737:68: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:738:72: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumValueDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:740:19: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::OneofDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:742:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc: In member function ‘int google::protobuf::compiler::cpp::MessageGenerator::GenerateFieldMetadata(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc:1836:26: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1836 | for (; extension_idx < sorted_extensions.size() && | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc:1837:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1837 | (i == sorted.size() || | ~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc:1849:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1849 | if (i == sorted.size()) break; | ~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc: In member function ‘std::pair google::protobuf::compiler::cpp::MessageGenerator::GenerateOffsets(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc:2449:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2449 | for (int i = 0; i < has_bit_indices_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc: In member function ‘void google::protobuf::compiler::cpp::MessageGenerator::GenerateConstructorBody(google::protobuf::io::Printer*, std::vector, bool) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc:2600:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2600 | for (int i = 0; i < optimized_order_.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/cuda.h:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/context_impl.h:19, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/context_impl.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h: In function ‘bool tensorpipe::isValidUuid(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h:58:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 58 | for (int i = 0; i < uuid.size(); i++) { | ~~^~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.hpp:22, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp:17: In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpxorq(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2271:76, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_gemv_s8x8s32_kern::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp:327:19: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_gemv_s8x8s32_kern::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp:327:51: note: at offset 8 into object ‘’ of size 8 327 | vpxorq(zmm_acc(i), zmm_acc(i), zmm_acc(i)); | ~~~~~~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp:327:39: note: at offset 8 into object ‘’ of size 8 327 | vpxorq(zmm_acc(i), zmm_acc(i), zmm_acc(i)); | ~~~~~~~^~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:19, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpxorq(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2271:76, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_gemv_s8x8s32_kern::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp:327:19: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_gemv_s8x8s32_kern::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp:327:51: note: at offset 16 into object ‘’ of size 8 327 | vpxorq(zmm_acc(i), zmm_acc(i), zmm_acc(i)); | ~~~~~~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp:327:39: note: at offset 16 into object ‘’ of size 8 327 | vpxorq(zmm_acc(i), zmm_acc(i), zmm_acc(i)); | ~~~~~~~^~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpxorq(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2271:76, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_gemv_s8x8s32_kern::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp:327:19: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_gemv_s8x8s32_kern::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp:327:51: note: at offset 8 into object ‘’ of size 8 327 | vpxorq(zmm_acc(i), zmm_acc(i), zmm_acc(i)); | ~~~~~~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp:327:39: note: at offset 8 into object ‘’ of size 8 327 | vpxorq(zmm_acc(i), zmm_acc(i), zmm_acc(i)); | ~~~~~~~^~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpxorq(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2271:76, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_gemv_s8x8s32_kern::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp:327:19: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_gemv_s8x8s32_kern::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp:327:51: note: at offset 8 into object ‘’ of size 8 327 | vpxorq(zmm_acc(i), zmm_acc(i), zmm_acc(i)); | ~~~~~~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp:327:39: note: at offset 8 into object ‘’ of size 8 327 | vpxorq(zmm_acc(i), zmm_acc(i), zmm_acc(i)); | ~~~~~~~^~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpxorq(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2271:76, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_gemv_s8x8s32_kern::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp:327:19: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_gemv_s8x8s32_kern::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp:327:51: note: at offset 16 into object ‘’ of size 8 327 | vpxorq(zmm_acc(i), zmm_acc(i), zmm_acc(i)); | ~~~~~~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp:327:39: note: at offset 16 into object ‘’ of size 8 327 | vpxorq(zmm_acc(i), zmm_acc(i), zmm_acc(i)); | ~~~~~~~^~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘bool Xbyak::Address::is32bit() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1275:51, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2253:33, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpxorq(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2271:76, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_gemv_s8x8s32_kern::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp:327:19: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_gemv_s8x8s32_kern::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp:327:51: note: at offset 8 into object ‘’ of size 8 327 | vpxorq(zmm_acc(i), zmm_acc(i), zmm_acc(i)); | ~~~~~~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp:327:39: note: at offset 8 into object ‘’ of size 8 327 | vpxorq(zmm_acc(i), zmm_acc(i), zmm_acc(i)); | ~~~~~~~^~~ In member function ‘bool Xbyak::Address::isBroadcast() const’, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2260:25, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpxorq(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2271:76, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_gemv_s8x8s32_kern::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp:327:19: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1284:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1284 | bool isBroadcast() const { return broadcast_; } | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_gemv_s8x8s32_kern::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp:327:51: note: object ‘’ of size 8 327 | vpxorq(zmm_acc(i), zmm_acc(i), zmm_acc(i)); | ~~~~~~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp:327:39: note: object ‘’ of size 8 327 | vpxorq(zmm_acc(i), zmm_acc(i), zmm_acc(i)); | ~~~~~~~^~~ [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-4x2-minmax-fp32-scalar-fmagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc: In member function ‘void google::protobuf::compiler::cpp::MessageGenerator::GenerateStructors(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc:2721:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2721 | for (int i = 0; i < optimized_order_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc: In member function ‘void google::protobuf::compiler::cpp::MessageGenerator::GenerateClear(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc:2884:41: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2884 | for (int chunk_index = 0; chunk_index < chunks.size(); chunk_index++) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc: In member function ‘void google::protobuf::compiler::cpp::MessageGenerator::GenerateSwap(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc:3068:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 3068 | for (int i = 0; i < HasBitsSize() / 4; ++i) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc:3079:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3079 | for (int i = 0; i < optimized_order_.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc: In member function ‘void google::protobuf::compiler::cpp::MessageGenerator::GenerateClassSpecificMergeFrom(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc:3208:41: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3208 | for (int chunk_index = 0; chunk_index < chunks.size(); chunk_index++) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc: In member function ‘void google::protobuf::compiler::cpp::MessageGenerator::GenerateSerializeWithCachedSizesBody(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc:3641:12: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3641 | i < ordered_fields.size() || j < sorted_extensions.size();) { | ~~^~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc:3641:41: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3641 | i < ordered_fields.size() || j < sorted_extensions.size();) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc:3642:14: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3642 | if ((j == sorted_extensions.size()) || | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc: In member function ‘void google::protobuf::compiler::cpp::MessageGenerator::GenerateByteSize(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc:3832:41: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3832 | for (int chunk_index = 0; chunk_index < chunks.size(); chunk_index++) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc:3859:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3859 | for (int j = 0; j < chunk.size(); j++) { | ~~^~~~~~~~~~~~~~ Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sum_u8.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sum_i32.cu [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-4x2-minmax-fp32-scalar-imagic.c.o Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sum_u32.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sum_i64.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sum_u64.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sum_f16.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/channel_impl.cc: In member function ‘void tensorpipe::channel::cuda_ipc::ChannelImpl::writeDescriptor(ChunkSendOpIter)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/channel_impl.cc:263:33: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 263 | if (localOutboxesSent_.size() <= op.deviceIdx) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sum_f32.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/channel_impl.cc:257:18: warning: unused variable ‘cudaLib’ [-Wunused-variable] 257 | const CudaLib& cudaLib = context_->getCudaLib(); | ^~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::FieldDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:736:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 749 | for (int i = 0; i < path.size(); ++i) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::Descriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:737:68: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:738:72: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumValueDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:740:19: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::OneofDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:742:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sum_f64.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/channel_impl.cc: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/channel_impl.cc:417:53: warning: comparison of integer expressions of different signedness: ‘std::vector >::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 417 | if (impl.remoteOutboxesReceived_.size() <= | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ 418 | opIter->remoteDeviceIdx) { | ~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/channel_impl.cc: In member function ‘void tensorpipe::channel::cuda_ipc::ChannelImpl::copyFromStagingToTarget(ChunkRecvOpIter)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/channel_impl.cc:434:36: warning: comparison of integer expressions of different signedness: ‘std::vector >::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 434 | if (remoteOutboxesOpened_.size() <= op.remoteDeviceIdx) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sum_bf16.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/channel_impl.cc:437:56: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 437 | if (remoteOutboxesOpened_[op.remoteDeviceIdx].size() <= op.deviceIdx) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_prod_i8.cu [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-4x2-minmax-fp32-scalar-lrintf.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_field.h:42, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_primitive_field.h:40, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_primitive_field.cc:35: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In member function ‘void google::protobuf::compiler::cpp::NamespaceOpener::ChangeTo(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:796:32: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 796 | for (int i = common_idx; i < name_stack_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_prod_u8.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_prod_i32.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_f32_copy_at_kern_autogen.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_avx2_f32_copy_at_kern::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_f32_copy_at_kern_autogen.cpp:29:6: note: variable tracking size limit exceeded with ‘-fvar-tracking-assignments’, retrying without 29 | void jit_avx2_f32_copy_at_kern::generate() { | ^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/context_impl.cc: In function ‘std::tuple, std::allocator >, std::allocator, std::allocator > > >, std::vector >, std::allocator > > > > tensorpipe::channel::cuda_ipc::{anonymous}::getGlobalUuidsAndP2pSupport(const tensorpipe::NvmlLib&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/context_impl.cc:76:31: warning: comparison of integer expressions of different signedness: ‘int’ and ‘unsigned int’ [-Wsign-compare] 76 | for (int devIdx = 0; devIdx < numDevices; devIdx++) { | ~~~~~~~^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/context_impl.cc:78:43: warning: comparison of integer expressions of different signedness: ‘int’ and ‘unsigned int’ [-Wsign-compare] 78 | for (int otherDevIdx = 0; otherDevIdx < numDevices; otherDevIdx++) { | ~~~~~~~~~~~~^~~~~~~~~~~~ Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_prod_u32.cu [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-4x2-minmax-rndnu-scalar.c.o Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_prod_i64.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_prod_u64.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::FieldDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:736:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 749 | for (int i = 0; i < path.size(); ++i) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::Descriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:737:68: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:738:72: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumValueDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:740:19: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::OneofDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:742:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/context_impl.cc: In member function ‘void tensorpipe::channel::cuda_ipc::ContextImpl::allocateSlot(int, size_t, SlotAllocCallback)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/context_impl.cc:343:24: warning: comparison of integer expressions of different signedness: ‘std::vector >::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 343 | if (outboxes_.size() <= deviceIdx) { | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_prod_f16.cu In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/channel_boilerplate.h:18, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/context_impl_boilerplate.h:18, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/context_impl.h:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/context_impl.cc: In member function ‘tensorpipe::channel::cuda_ipc::ContextImpl::OutboxInfo tensorpipe::channel::cuda_ipc::ContextImpl::getLocalOutboxInfo(int)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/context_impl.cc:369:30: warning: comparison of integer expressions of different signedness: ‘std::vector >::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 369 | TP_DCHECK(outboxes_.size() > deviceIdx); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro ‘unlikely’ 27 | #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:222:3: note: in expansion of macro ‘__TP_DCHECK’ 222 | __TP_DCHECK(a) | ^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:242:22: note: in expansion of macro ‘_TP_DCHECK’ 242 | #define TP_DCHECK(a) _TP_DCHECK(a) | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/context_impl.cc:369:3: note: in expansion of macro ‘TP_DCHECK’ 369 | TP_DCHECK(outboxes_.size() > deviceIdx); | ^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/context_impl.cc:369:30: warning: comparison of integer expressions of different signedness: ‘std::vector >::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 369 | TP_DCHECK(outboxes_.size() > deviceIdx); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:196:59: note: in definition of macro ‘__TP_EXPAND_OPD’ 196 | #define __TP_EXPAND_OPD(opd) TP_STRINGIFY(opd) << "(" << (opd) << ")" | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:222:3: note: in expansion of macro ‘__TP_DCHECK’ 222 | __TP_DCHECK(a) | ^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:242:22: note: in expansion of macro ‘_TP_DCHECK’ 242 | #define TP_DCHECK(a) _TP_DCHECK(a) | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/context_impl.cc:369:3: note: in expansion of macro ‘TP_DCHECK’ 369 | TP_DCHECK(outboxes_.size() > deviceIdx); | ^~~~~~~~~ [ 28%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-4x4-minmax-fp32-scalar-fmagic.c.o Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_prod_f32.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_prod_f64.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_prod_bf16.cu [ 28%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx_kernel_gemm_s8u8s32_kern_autogen.cpp.o [ 28%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-4x4-minmax-fp32-scalar-imagic.c.o Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_min_i8.cu In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/channel_impl.h:22: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of ‘TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::channel::cuda_ipc::ChannelImpl; TOp = tensorpipe::channel::cuda_ipc::ChunkSendOperation; int64_t = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:57:20: required from ‘void tensorpipe::OpsStateMachine::advanceOperation(Iter) [with TSubject = tensorpipe::channel::cuda_ipc::ChannelImpl; TOp = tensorpipe::channel::cuda_ipc::ChunkSendOperation]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/channel_impl.cc:134:35: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘std::deque >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 102 | if (offset < 0 || offset >= ops_.size()) { | ~~~~~~~^~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/channel_impl.h:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro ‘unlikely’ 27 | #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:226:3: note: in expansion of macro ‘__TP_DCHECK_CMP’ 226 | __TP_DCHECK_CMP(a, b, op) | ^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro ‘_TP_DCHECK_CMP’ 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro ‘TP_DCHECK_EQ’ 106 | TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); | ^~~~~~~~~~~~ Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_min_u8.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_min_i32.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of ‘TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::channel::cuda_ipc::ChannelImpl; TOp = tensorpipe::channel::cuda_ipc::ChunkRecvOperation; int64_t = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:57:20: required from ‘void tensorpipe::OpsStateMachine::advanceOperation(Iter) [with TSubject = tensorpipe::channel::cuda_ipc::ChannelImpl; TOp = tensorpipe::channel::cuda_ipc::ChunkRecvOperation]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/channel_impl.cc:346:35: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘std::deque >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 102 | if (offset < 0 || offset >= ops_.size()) { | ~~~~~~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro ‘unlikely’ 27 | #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:226:3: note: in expansion of macro ‘__TP_DCHECK_CMP’ 226 | __TP_DCHECK_CMP(a, b, op) | ^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro ‘_TP_DCHECK_CMP’ 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro ‘TP_DCHECK_EQ’ 106 | TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); | ^~~~~~~~~~~~ Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_min_u32.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_min_i64.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_min_u64.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_min_f16.cu [ 28%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/cpp/cpp_string_field.cc.o Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_min_f32.cu [ 28%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-4x4-minmax-fp32-scalar-lrintf.c.o Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_min_f64.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_min_bf16.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_max_i8.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_max_u8.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_max_i32.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_core_f32_copy_at_kern_part1_autogen.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx512_core_f32_copy_at_kern::generate_part1(const Xbyak::Label&, const Xbyak::Label&, const Xbyak::Label&, const Xbyak::Label&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_core_f32_copy_at_kern_part1_autogen.cpp:51:6: note: variable tracking size limit exceeded with ‘-fvar-tracking-assignments’, retrying without 51 | void jit_avx512_core_f32_copy_at_kern::generate_part1(const Xbyak::Label &l4000, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_max_u32.cu [ 28%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-4x4-minmax-rndnu-scalar.c.o Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_max_i64.cu [ 28%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-requantization/qs8-requantization-fp32-scalar-fmagic.c.o Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_max_u64.cu [ 28%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx_kernel_r_gemm_s8u8s32_kern_autogen.cpp.o Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_max_f16.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_max_f32.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_max_f64.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_max_bf16.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_premulsum_i8.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_premulsum_u8.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_premulsum_i32.cu In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_service.cc:36: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In member function ‘void google::protobuf::compiler::cpp::NamespaceOpener::ChangeTo(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:796:32: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 796 | for (int i = common_idx; i < name_stack_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_premulsum_u32.cu In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/cuda.h:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/context_impl.h:19, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/channel_impl.h:18, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/factory.cc:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h: In function ‘bool tensorpipe::isValidUuid(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h:58:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 58 | for (int i = 0; i < uuid.size(); i++) { | ~~^~~~~~~~~~~~~ [ 28%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-requantization/qs8-requantization-fp32-scalar-lrintf.c.o Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_premulsum_i64.cu [ 28%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-requantization/qs8-requantization-gemmlowp-scalar.c.o Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_premulsum_u64.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_premulsum_f16.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_premulsum_f32.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_premulsum_f64.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_premulsum_bf16.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sumpostdiv_i8.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::FieldDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:736:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 749 | for (int i = 0; i < path.size(); ++i) { | ~~^~~~~~~~~~~~~ [ 28%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-requantization/qs8-requantization-rndna-scalar-signed64.c.o [ 28%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-requantization/qs8-requantization-rndna-scalar-unsigned32.c.o Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sumpostdiv_u8.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::Descriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:737:68: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:738:72: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumValueDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:740:19: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::OneofDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:742:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sumpostdiv_i32.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sumpostdiv_u32.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sumpostdiv_i64.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sumpostdiv_u64.cu [ 28%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx_u8_copy_an_kern_autogen.cpp.o Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sumpostdiv_f16.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sumpostdiv_f32.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sumpostdiv_f64.cu [ 28%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/csharp/csharp_doc_comment.cc.o Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sumpostdiv_bf16.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sum_i8.cu [ 28%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-requantization/qs8-requantization-rndna-scalar-unsigned64.c.o [ 28%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-requantization/qs8-requantization-rndnu-scalar.c.o [ 28%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-scalar-x1.c.o [ 28%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-scalar-x1.c:21:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-scalar-x1.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:166:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 166 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-scalar-x2.c:21:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-scalar-x2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:167:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 167 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 28%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-scalar-x4.c:21:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-scalar-x4.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:168:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 168 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 28%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx_u8_copy_at_kern_autogen.cpp.o [ 28%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-scalar-x1.c:21:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-scalar-x1.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:221:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 221 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 28%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_cuda.dir/common/ibv.cc.o [ 28%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-scalar-x2.c:21:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-scalar-x2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:222:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 222 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 28%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_cuda.dir/channel/cuda_gdr/channel_impl.cc.o [ 28%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-scalar-x4.c.o [ 28%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vcvt/gen/qs8-vcvt-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-scalar-x4.c:21:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-scalar-x4.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:223:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 223 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-scalar-x1.c:20:36: warning: argument 4 of type ‘const union xnn_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-scalar-x1.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:304:39: note: previously declared as ‘const union xnn_qs8_cvt_params *’ 304 | const union xnn_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:339:1: note: in expansion of macro ‘DECLARE_QS8_VCVT_UKERNEL_FUNCTION’ 339 | DECLARE_QS8_VCVT_UKERNEL_FUNCTION(xnn_qs8_vcvt_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 28%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vcvt/gen/qs8-vcvt-scalar-x2.c.o [ 28%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vcvt/gen/qs8-vcvt-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-scalar-x2.c:20:36: warning: argument 4 of type ‘const union xnn_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-scalar-x2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:304:39: note: previously declared as ‘const union xnn_qs8_cvt_params *’ 304 | const union xnn_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:340:1: note: in expansion of macro ‘DECLARE_QS8_VCVT_UKERNEL_FUNCTION’ 340 | DECLARE_QS8_VCVT_UKERNEL_FUNCTION(xnn_qs8_vcvt_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-scalar-x4.c:20:36: warning: argument 4 of type ‘const union xnn_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-scalar-x4.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:304:39: note: previously declared as ‘const union xnn_qs8_cvt_params *’ 304 | const union xnn_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:341:1: note: in expansion of macro ‘DECLARE_QS8_VCVT_UKERNEL_FUNCTION’ 341 | DECLARE_QS8_VCVT_UKERNEL_FUNCTION(xnn_qs8_vcvt_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 28%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vlrelu/gen/qs8-vlrelu-scalar-andxor-x1.c.o [ 28%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx_u8_copy_bn_kern_autogen.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-scalar-andxor-x1.c:20:38: warning: argument 4 of type ‘const union xnn_qs8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_qs8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 28%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vlrelu/gen/qs8-vlrelu-scalar-andxor-x2.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-scalar-andxor-x1.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:24:41: note: previously declared as ‘const union xnn_qs8_lrelu_params *’ 24 | const union xnn_qs8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:65:1: note: in expansion of macro ‘DECLARE_QS8_VLRELU_UKERNEL_FUNCTION’ 65 | DECLARE_QS8_VLRELU_UKERNEL_FUNCTION(xnn_qs8_vlrelu_ukernel__scalar_andxor_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-scalar-andxor-x2.c:20:38: warning: argument 4 of type ‘const union xnn_qs8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_qs8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-scalar-andxor-x2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:24:41: note: previously declared as ‘const union xnn_qs8_lrelu_params *’ 24 | const union xnn_qs8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:66:1: note: in expansion of macro ‘DECLARE_QS8_VLRELU_UKERNEL_FUNCTION’ 66 | DECLARE_QS8_VLRELU_UKERNEL_FUNCTION(xnn_qs8_vlrelu_ukernel__scalar_andxor_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 28%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_cuda.dir/channel/cuda_gdr/context_impl.cc.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_field.h:42, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_string_field.h:40, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_string_field.cc:35: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In member function ‘void google::protobuf::compiler::cpp::NamespaceOpener::ChangeTo(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:796:32: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 796 | for (int i = common_idx; i < name_stack_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ [ 28%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vlrelu/gen/qs8-vlrelu-scalar-andxor-x4.c.o [ 28%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vlrelu/gen/qs8-vlrelu-scalar-select-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-scalar-andxor-x4.c:20:38: warning: argument 4 of type ‘const union xnn_qs8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_qs8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-scalar-andxor-x4.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:24:41: note: previously declared as ‘const union xnn_qs8_lrelu_params *’ 24 | const union xnn_qs8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:67:1: note: in expansion of macro ‘DECLARE_QS8_VLRELU_UKERNEL_FUNCTION’ 67 | DECLARE_QS8_VLRELU_UKERNEL_FUNCTION(xnn_qs8_vlrelu_ukernel__scalar_andxor_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/gemm/gemm.hpp:30, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/rnn/ref_rnn.hpp:30, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/cpu_rnn_list.cpp:19: In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::cvtdq2ps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:190:57, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vcvtdq2ps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1491:21, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::deq_h(Vmm, Xbyak::Address, int) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:635:22, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::to_float(const Vmm&, const Xbyak::Address&, dnnl::impl::data_type_t, int) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:709:38: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_gru_cell_postgemm_1_bwd.hpp:20, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/rnn/postgemm_dispatcher.hpp:30, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/rnn/ref_rnn.hpp:34: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::to_float(const Vmm&, const Xbyak::Address&, dnnl::impl::data_type_t, int) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:703:10: note: object ‘dst’ of size 8 703 | void to_float(const Vmm &dst, const Xbyak::Address &src, data_type_t src_dt, | ^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-scalar-select-x1.c:20:38: warning: argument 4 of type ‘const union xnn_qs8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_qs8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-scalar-select-x1.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:24:41: note: previously declared as ‘const union xnn_qs8_lrelu_params *’ 24 | const union xnn_qs8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:69:1: note: in expansion of macro ‘DECLARE_QS8_VLRELU_UKERNEL_FUNCTION’ 69 | DECLARE_QS8_VLRELU_UKERNEL_FUNCTION(xnn_qs8_vlrelu_ukernel__scalar_select_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 28%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_cuda.dir/channel/cuda_gdr/factory.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::FieldDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:736:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 749 | for (int i = 0; i < path.size(); ++i) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::Descriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:737:68: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:738:72: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumValueDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:740:19: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::OneofDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:742:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] [ 28%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vlrelu/gen/qs8-vlrelu-scalar-select-x2.c.o [ 28%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/csharp/csharp_enum.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-scalar-select-x2.c:20:38: warning: argument 4 of type ‘const union xnn_qs8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_qs8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-scalar-select-x2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:24:41: note: previously declared as ‘const union xnn_qs8_lrelu_params *’ 24 | const union xnn_qs8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:70:1: note: in expansion of macro ‘DECLARE_QS8_VLRELU_UKERNEL_FUNCTION’ 70 | DECLARE_QS8_VLRELU_UKERNEL_FUNCTION(xnn_qs8_vlrelu_ukernel__scalar_select_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::cvtdq2ps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:190:57, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vcvtdq2ps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1491:21, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::deq_w(dnnl::impl::data_type_t, Vmm, Vmm, Vmm, dnnl::impl::dim_t, int, int, Xbyak::Reg64*) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:600:22: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::deq_w(dnnl::impl::data_type_t, Vmm, Vmm, Vmm, dnnl::impl::dim_t, int, int, Xbyak::Reg64*) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:584:44: note: object ‘s’ of size 8 584 | void deq_w(data_type_t src_data_t, Vmm s, Vmm tmp1, Vmm tmp2, | ~~~~^ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::divps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:216:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vdivps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:614:18, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::deq_w(dnnl::impl::data_type_t, Vmm, Vmm, Vmm, dnnl::impl::dim_t, int, int, Xbyak::Reg64*) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:613:23: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::deq_w(dnnl::impl::data_type_t, Vmm, Vmm, Vmm, dnnl::impl::dim_t, int, int, Xbyak::Reg64*) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:584:51: note: object ‘tmp1’ of size 8 584 | void deq_w(data_type_t src_data_t, Vmm s, Vmm tmp1, Vmm tmp2, | ~~~~^~~~ [ 28%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vlrelu/gen/qs8-vlrelu-scalar-select-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-scalar-select-x4.c:20:38: warning: argument 4 of type ‘const union xnn_qs8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_qs8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-scalar-select-x4.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:24:41: note: previously declared as ‘const union xnn_qs8_lrelu_params *’ 24 | const union xnn_qs8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:71:1: note: in expansion of macro ‘DECLARE_QS8_VLRELU_UKERNEL_FUNCTION’ 71 | DECLARE_QS8_VLRELU_UKERNEL_FUNCTION(xnn_qs8_vlrelu_ukernel__scalar_select_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 28%] Linking CXX shared library ../../lib/libc10_cuda.so [ 28%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-scalar-x1.c.o In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::cvtdq2ps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:190:57, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vcvtdq2ps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1491:21, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::deq_w(dnnl::impl::data_type_t, Vmm, Vmm, Vmm, dnnl::impl::dim_t, int, int, Xbyak::Reg64*) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:600:22: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::deq_w(dnnl::impl::data_type_t, Vmm, Vmm, Vmm, dnnl::impl::dim_t, int, int, Xbyak::Reg64*) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:584:44: note: object ‘s’ of size 8 584 | void deq_w(data_type_t src_data_t, Vmm s, Vmm tmp1, Vmm tmp2, | ~~~~^ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::divps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:216:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vdivps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:614:18, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::deq_w(dnnl::impl::data_type_t, Vmm, Vmm, Vmm, dnnl::impl::dim_t, int, int, Xbyak::Reg64*) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:613:23: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::deq_w(dnnl::impl::data_type_t, Vmm, Vmm, Vmm, dnnl::impl::dim_t, int, int, Xbyak::Reg64*) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:584:51: note: object ‘tmp1’ of size 8 584 | void deq_w(data_type_t src_data_t, Vmm s, Vmm tmp1, Vmm tmp2, | ~~~~^~~~ [ 29%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx_u8_copy_bt_kern_autogen.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-scalar-x1.c:21:43: warning: argument 5 of type ‘const union xnn_qs8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qs8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-scalar-x1.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:91:46: note: previously declared as ‘const union xnn_qs8_mul_minmax_params *’ 91 | const union xnn_qs8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:117:1: note: in expansion of macro ‘DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION’ 117 | DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vmul_minmax_fp32_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-scalar-x2.c:21:43: warning: argument 5 of type ‘const union xnn_qs8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qs8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-scalar-x2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:91:46: note: previously declared as ‘const union xnn_qs8_mul_minmax_params *’ 91 | const union xnn_qs8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:118:1: note: in expansion of macro ‘DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION’ 118 | DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vmul_minmax_fp32_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-scalar-x4.c.o [ 29%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/csharp/csharp_enum_field.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-scalar-x4.c:21:43: warning: argument 5 of type ‘const union xnn_qs8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qs8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-scalar-x4.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:91:46: note: previously declared as ‘const union xnn_qs8_mul_minmax_params *’ 91 | const union xnn_qs8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:119:1: note: in expansion of macro ‘DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION’ 119 | DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vmul_minmax_fp32_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/csharp/csharp_field_base.cc.o [ 29%] Built target c10_cuda [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-scalar-x1.c.o [ 29%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/csharp/csharp_generator.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-scalar-x1.c:21:43: warning: argument 5 of type ‘const union xnn_qs8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qs8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-scalar-x1.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:91:46: note: previously declared as ‘const union xnn_qs8_mul_minmax_params *’ 91 | const union xnn_qs8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:146:1: note: in expansion of macro ‘DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION’ 146 | DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vmulc_minmax_fp32_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-scalar-x2.c:21:43: warning: argument 5 of type ‘const union xnn_qs8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qs8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-scalar-x2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:91:46: note: previously declared as ‘const union xnn_qs8_mul_minmax_params *’ 91 | const union xnn_qs8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:147:1: note: in expansion of macro ‘DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION’ 147 | DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vmulc_minmax_fp32_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-scalar-x4.c:21:43: warning: argument 5 of type ‘const union xnn_qs8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qs8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-scalar-x4.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:91:46: note: previously declared as ‘const union xnn_qs8_mul_minmax_params *’ 91 | const union xnn_qs8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:148:1: note: in expansion of macro ‘DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION’ 148 | DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vmulc_minmax_fp32_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-avgpool/qu8-avgpool-9p8x-minmax-fp32-scalar-imagic-c1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-avgpool/qu8-avgpool-9p8x-minmax-fp32-scalar-imagic-c1.c:26:47: warning: argument 11 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-avgpool/qu8-avgpool-9p8x-minmax-fp32-scalar-imagic-c1.c:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:112:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 112 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:115:1: note: in expansion of macro ‘DECLARE_QU8_AVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 115 | DECLARE_QU8_AVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qu8_avgpool_minmax_fp32_ukernel_9p8x__scalar_imagic_c1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/csharp/csharp_helpers.cc.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/cuda.h:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_gdr/channel_impl.h:21, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_gdr/channel_impl.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h: In function ‘bool tensorpipe::isValidUuid(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h:58:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 58 | for (int i = 0; i < uuid.size(); i++) { | ~~^~~~~~~~~~~~~ [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-avgpool/qu8-avgpool-9x-minmax-fp32-scalar-imagic-c1.c.o [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/XNNPACK.dir/src/binary-elementwise-config.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-avgpool/qu8-avgpool-9x-minmax-fp32-scalar-imagic-c1.c:25:47: warning: argument 10 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-avgpool/qu8-avgpool-9x-minmax-fp32-scalar-imagic-c1.c:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:130:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 130 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:133:1: note: in expansion of macro ‘DECLARE_QU8_AVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 133 | DECLARE_QU8_AVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_avgpool_minmax_fp32_ukernel_9x__scalar_imagic_c1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/csharp/csharp_map_field.cc.o [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p1c-minmax-fp32-scalar-fmagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p1c-minmax-fp32-scalar-fmagic.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p1c-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:582:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 582 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p1c__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/cuda.h:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_gdr/context_impl.h:24, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_gdr/context_impl.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h: In function ‘bool tensorpipe::isValidUuid(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h:58:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 58 | for (int i = 0; i < uuid.size(); i++) { | ~~^~~~~~~~~~~~~ [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p1c-minmax-fp32-scalar-imagic.c.o [ 29%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx_u8_copy_sum_an_kern_autogen.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p1c-minmax-fp32-scalar-imagic.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p1c-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:586:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 586 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p1c__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/XNNPACK.dir/src/init.c.o [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/XNNPACK.dir/src/params.c.o [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p1c-minmax-fp32-scalar-lrintf.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/cuda.h:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_gdr/channel_impl.h:21, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_gdr/factory.cc:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h: In function ‘bool tensorpipe::isValidUuid(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h:58:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 58 | for (int i = 0; i < uuid.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p1c-minmax-fp32-scalar-lrintf.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p1c-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:590:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 590 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p1c__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p1c-minmax-rndnu-scalar.c.o Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sum_i64.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sum_u32.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p1c-minmax-rndnu-scalar.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p1c-minmax-rndnu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:578:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 578 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_rndnu_ukernel_9p1c__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sum_u64.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sum_i32.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sum_u8.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sum_f16.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sum_f32.cu [ 29%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx_u8_copy_sum_at_kern_autogen.cpp.o Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sum_f64.cu [ 29%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx_u8_copy_sum_bn_kern_autogen.cpp.o [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p2c-minmax-fp32-scalar-fmagic.c.o Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sum_bf16.cu [ 29%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx_u8_copy_sum_bt_kern_autogen.cpp.o [ 29%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/csharp/csharp_message.cc.o Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_prod_i8.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_prod_u8.cu [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p2c-minmax-fp32-scalar-imagic.c.o Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_prod_i32.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_prod_u32.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_prod_i64.cu [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p2c-minmax-fp32-scalar-lrintf.c.o Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_prod_u64.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p2c-minmax-fp32-scalar-fmagic.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p2c-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:583:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 583 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p2c__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_prod_f16.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_prod_f32.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_prod_f64.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p2c-minmax-fp32-scalar-imagic.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p2c-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:587:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 587 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p2c__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p2c-minmax-fp32-scalar-lrintf.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p2c-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:591:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 591 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p2c__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_prod_bf16.cu [ 29%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/csharp/csharp_message_field.cc.o Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_min_i8.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_min_u8.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_min_i32.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_min_u32.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_gdr/context_impl.cc: In function ‘std::vector > tensorpipe::channel::cuda_gdr::{anonymous}::matchGpusToIbvNics(tensorpipe::IbvLib&, tensorpipe::IbvDeviceList&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_gdr/context_impl.cc:177:40: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 177 | for (size_t deviceIdx = 0; deviceIdx < deviceList.size(); deviceIdx++) { | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ [ 29%] Built target kineto_base Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_min_i64.cu [ 29%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_sse41_kernel_b0_b_gemm_s8u8s32_kern_autogen.cpp.o [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/XNNPACK.dir/src/transpose-config.c.o [ 29%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/csharp/csharp_primitive_field.cc.o Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_min_u64.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_min_f16.cu [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p2c-minmax-rndnu-scalar.c.o Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_min_f32.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_min_f64.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_min_bf16.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p2c-minmax-rndnu-scalar.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p2c-minmax-rndnu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:579:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 579 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_rndnu_ukernel_9p2c__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Built target dnnl_graph_backend_dnnl [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/XNNPACK.dir/src/x8-lut-config.c.o [ 29%] Linking CXX static library ../../../lib/libkineto.a Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_max_i8.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/csharp/csharp_field_base.cc: In function ‘bool google::protobuf::compiler::csharp::AllPrintableAscii(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/csharp/csharp_field_base.cc:309:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 309 | for(int i = 0; i < text.size(); i++) { | ~~^~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/channel_boilerplate.h:18, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/context_impl_boilerplate.h:18, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_gdr/context_impl.h:21: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_gdr/context_impl.cc: In constructor ‘tensorpipe::channel::cuda_gdr::ContextImpl::ContextImpl(std::unordered_map >, tensorpipe::CudaLib, tensorpipe::IbvLib, tensorpipe::IbvDeviceList, tensorpipe::optional > >)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_gdr/context_impl.cc:536:32: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 536 | TP_THROW_ASSERT_IF(numGpus != gpuIdxToNicName->size()) | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro ‘unlikely’ 27 | #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_gdr/context_impl.cc:536:5: note: in expansion of macro ‘TP_THROW_ASSERT_IF’ 536 | TP_THROW_ASSERT_IF(numGpus != gpuIdxToNicName->size()) | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_gdr/context_impl.cc:546:31: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 546 | for (int gpuIdx = 0; gpuIdx < actualGpuIdxToNicName.size(); gpuIdx++) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/csharp/csharp_generator.cc: In member function ‘virtual bool google::protobuf::compiler::csharp::Generator::Generate(const google::protobuf::FileDescriptor*, const std::string&, google::protobuf::compiler::GeneratorContext*, std::string*) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/csharp/csharp_generator.cc:75:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::__cxx11::basic_string > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 75 | for (int i = 0; i < options.size(); i++) { | ~~^~~~~~~~~~~~~~~~ Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_max_u8.cu [ 29%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_sse41_kernel_b0_c_gemm_s8u8s32_kern_autogen.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_gdr/context_impl.cc:560:40: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 560 | for (size_t deviceIdx = 0; deviceIdx < deviceList.size(); deviceIdx++) { | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ [ 29%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/csharp/csharp_reflection_class.cc.o Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_max_i32.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_max_u32.cu [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p4c-minmax-fp32-scalar-fmagic.c.o Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_max_i64.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_max_u64.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_max_f16.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_max_f32.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_max_f64.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p4c-minmax-fp32-scalar-fmagic.c:26:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p4c-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:584:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 584 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p4c__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_max_bf16.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_premulsum_i8.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_premulsum_u8.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_premulsum_i32.cu [ 29%] Linking CXX static library ../../lib/libXNNPACK.a In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_gdr/channel_impl.h:24: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of ‘TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::channel::cuda_gdr::ChannelImpl; TOp = tensorpipe::channel::cuda_gdr::SendOperation; int64_t = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:74:20: required from ‘void tensorpipe::OpsStateMachine::advanceAllOperations() [with TSubject = tensorpipe::channel::cuda_gdr::ChannelImpl; TOp = tensorpipe::channel::cuda_gdr::SendOperation]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_gdr/channel_impl.cc:188:32: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘std::deque >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 102 | if (offset < 0 || offset >= ops_.size()) { | ~~~~~~~^~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_gdr/channel_impl.h:20: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro ‘unlikely’ 27 | #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:226:3: note: in expansion of macro ‘__TP_DCHECK_CMP’ 226 | __TP_DCHECK_CMP(a, b, op) | ^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro ‘_TP_DCHECK_CMP’ 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro ‘TP_DCHECK_EQ’ 106 | TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); | ^~~~~~~~~~~~ Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_premulsum_u32.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of ‘TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::channel::cuda_gdr::ChannelImpl; TOp = tensorpipe::channel::cuda_gdr::RecvOperation; int64_t = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:74:20: required from ‘void tensorpipe::OpsStateMachine::advanceAllOperations() [with TSubject = tensorpipe::channel::cuda_gdr::ChannelImpl; TOp = tensorpipe::channel::cuda_gdr::RecvOperation]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_gdr/channel_impl.cc:189:32: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘std::deque >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 102 | if (offset < 0 || offset >= ops_.size()) { | ~~~~~~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro ‘unlikely’ 27 | #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:226:3: note: in expansion of macro ‘__TP_DCHECK_CMP’ 226 | __TP_DCHECK_CMP(a, b, op) | ^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro ‘_TP_DCHECK_CMP’ 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro ‘TP_DCHECK_EQ’ 106 | TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); | ^~~~~~~~~~~~ Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_premulsum_i64.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_premulsum_u64.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_premulsum_f16.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_premulsum_f32.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_premulsum_f64.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_premulsum_bf16.cu [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p4c-minmax-fp32-scalar-imagic.c.o Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sumpostdiv_i8.cu [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p4c-minmax-fp32-scalar-lrintf.c.o Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sumpostdiv_u8.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p4c-minmax-fp32-scalar-imagic.c:26:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p4c-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:588:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 588 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p4c__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sumpostdiv_i32.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/csharp/csharp_helpers.cc: In function ‘std::string google::protobuf::compiler::csharp::UnderscoresToCamelCase(const std::string&, bool, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/csharp/csharp_helpers.cc:148:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 148 | for (int i = 0; i < input.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/csharp/csharp_helpers.cc: In function ‘std::string google::protobuf::compiler::csharp::ShoutyToPascalCase(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/csharp/csharp_helpers.cc:201:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 201 | for (int i = 0; i < input.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p4c-minmax-fp32-scalar-lrintf.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p4c-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:592:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 592 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p4c__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sumpostdiv_u32.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sumpostdiv_i64.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sumpostdiv_u64.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sumpostdiv_f16.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sumpostdiv_f32.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sumpostdiv_f64.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sumpostdiv_bf16.cu [ 29%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/csharp/csharp_repeated_enum_field.cc.o Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sum_i8.cu [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p4c-minmax-rndnu-scalar.c.o [ 29%] Built target XNNPACK [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p1c-minmax-fp32-scalar-fmagic.c.o [ 29%] Built target kineto [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p1c-minmax-fp32-scalar-imagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p4c-minmax-rndnu-scalar.c:26:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p4c-minmax-rndnu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:580:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 580 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_rndnu_ukernel_9p4c__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/csharp/csharp_repeated_message_field.cc.o [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p1c-minmax-fp32-scalar-lrintf.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p1c-minmax-fp32-scalar-fmagic.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p1c-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:638:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 638 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p1c__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p1c-minmax-fp32-scalar-imagic.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p1c-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:642:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 642 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p1c__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p2c-minmax-fp32-scalar-fmagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p1c-minmax-fp32-scalar-lrintf.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p1c-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:646:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 646 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p1c__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p2c-minmax-fp32-scalar-fmagic.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p2c-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:639:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 639 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p2c__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p2c-minmax-fp32-scalar-imagic.c.o [ 29%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/csharp/csharp_repeated_primitive_field.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/csharp/csharp_message.cc: In member function ‘void google::protobuf::compiler::csharp::MessageGenerator::GenerateWriteToBody(google::protobuf::io::Printer*, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/csharp/csharp_message.cc:573:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 573 | for (int i = 0; i < fields_by_number().size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/csharp/csharp_message.cc: In member function ‘void google::protobuf::compiler::csharp::MessageGenerator::GenerateMainParseLoop(google::protobuf::io::Printer*, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/csharp/csharp_message.cc:716:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 716 | for (int i = 0; i < fields_by_number().size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p2c-minmax-fp32-scalar-imagic.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p2c-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:643:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 643 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p2c__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/csharp/csharp_message.cc: In member function ‘int google::protobuf::compiler::csharp::MessageGenerator::GetPresenceIndex(const google::protobuf::FieldDescriptor*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/csharp/csharp_message.cc:758:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 758 | for (int i = 0; i < fields_by_number().size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/csharp/csharp_source_generator_base.cc.o [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p2c-minmax-fp32-scalar-lrintf.c.o [ 29%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_sse41_kernel_b0_gemm_s8u8s32_kern_autogen.cpp.o [ 29%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/csharp/csharp_wrapper_field.cc.o [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p4c-minmax-fp32-scalar-fmagic.c.o [ 29%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_sse41_kernel_b0_r_gemm_s8u8s32_kern_autogen.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p2c-minmax-fp32-scalar-lrintf.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p2c-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:647:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 647 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p2c__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p4c-minmax-fp32-scalar-fmagic.c:26:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p4c-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:640:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 640 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p4c__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_context.cc.o [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p4c-minmax-fp32-scalar-imagic.c.o In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::cvtdq2ps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:190:57, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vcvtdq2ps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1491:21, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::deq_h(Vmm, Xbyak::Address, int) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:635:22, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::to_float(const Vmm&, const Xbyak::Address&, dnnl::impl::data_type_t, int) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:709:38: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::to_float(const Vmm&, const Xbyak::Address&, dnnl::impl::data_type_t, int) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:703:10: note: object ‘dst’ of size 8 703 | void to_float(const Vmm &dst, const Xbyak::Address &src, data_type_t src_dt, | ^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p4c-minmax-fp32-scalar-imagic.c:26:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p4c-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:644:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 644 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p4c__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p4c-minmax-fp32-scalar-lrintf.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p4c-minmax-fp32-scalar-lrintf.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p4c-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:648:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 648 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p4c__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_sse41_kernel_b_gemm_s8u8s32_kern_autogen.cpp.o [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-scalar-x1.c:21:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:479:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 479 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-scalar-x2.c.o [ 29%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_sse41_kernel_c_gemm_s8u8s32_kern_autogen.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-scalar-x2.c:21:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:480:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 480 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-scalar-x3.c.o [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-scalar-x3.c:21:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-scalar-x3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:481:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 481 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__scalar_x3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-scalar-x4.c:21:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:482:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 482 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_sse41_kernel_gemm_s8u8s32_kern_autogen.cpp.o [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-fmagic-c1.c.o [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-fmagic-c2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-fmagic-c1.c:24:47: warning: argument 8 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-fmagic-c1.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:214:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 214 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:248:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 248 | DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7p7x__scalar_fmagic_c1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-fmagic-c2.c:24:47: warning: argument 8 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-fmagic-c2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:214:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 214 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:249:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 249 | DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7p7x__scalar_fmagic_c2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-fmagic-c4.c.o [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-imagic-c1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-fmagic-c4.c:24:47: warning: argument 8 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-fmagic-c4.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:214:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 214 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:250:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 250 | DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7p7x__scalar_fmagic_c4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-imagic-c1.c:24:47: warning: argument 8 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-imagic-c1.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:214:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 214 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:244:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 244 | DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7p7x__scalar_imagic_c1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_doc_comment.cc.o [ 29%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_enum.cc.o [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-imagic-c2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-imagic-c2.c:24:47: warning: argument 8 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-imagic-c2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:214:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 214 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:245:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 245 | DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7p7x__scalar_imagic_c2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-imagic-c4.c.o [ 29%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_enum_field.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-imagic-c4.c:24:47: warning: argument 8 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-imagic-c4.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:214:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 214 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:246:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 246 | DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7p7x__scalar_imagic_c4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_enum_field_lite.cc.o [ 29%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_sse41_kernel_r_gemm_s8u8s32_kern_autogen.cpp.o [ 29%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_sse41_u8_copy_an_kern_autogen.cpp.o [ 29%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_sse41_u8_copy_at_kern_autogen.cpp.o [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-lrintf-c1.c.o [ 29%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_enum_lite.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_context.cc: In member function ‘void google::protobuf::compiler::java::Context::InitializeFieldGeneratorInfoForFields(const std::vector&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_context.cc:131:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 131 | for (int i = 0; i < fields.size(); ++i) { | ~~^~~~~~~~~~~~~~~ [ 29%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_extension.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_context.cc:134:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 134 | for (int j = i + 1; j < fields.size(); ++j) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_context.cc:153:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 153 | for (int i = 0; i < fields.size(); ++i) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-lrintf-c1.c:25:47: warning: argument 8 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-lrintf-c1.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:214:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 214 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:252:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 252 | DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7p7x__scalar_lrintf_c1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sum_u8.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sum_i32.cu [ 29%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_extension_lite.cc.o Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sum_u32.cu [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-lrintf-c2.c.o Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sum_i64.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sum_u64.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sum_f16.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sum_f32.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sum_f64.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sum_bf16.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-lrintf-c2.c:25:47: warning: argument 8 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-lrintf-c2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:214:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 214 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:253:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 253 | DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7p7x__scalar_lrintf_c2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_prod_i8.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_prod_u8.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_prod_i32.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_prod_u32.cu [ 29%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_field.cc.o Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_prod_i64.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_prod_u64.cu [ 29%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_file.cc.o Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_prod_f16.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_doc_comment.cc: In function ‘void google::protobuf::compiler::java::WriteDocCommentBodyForLocation(google::protobuf::io::Printer*, const google::protobuf::SourceLocation&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_doc_comment.cc:125:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 125 | for (int i = 0; i < lines.size(); i++) { | ~~^~~~~~~~~~~~~~ Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_prod_f32.cu [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-lrintf-c4.c.o Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_prod_f64.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_prod_bf16.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-lrintf-c4.c:25:47: warning: argument 8 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-lrintf-c4.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:214:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 214 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:254:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 254 | DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7p7x__scalar_lrintf_c4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_min_i8.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_min_u8.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_min_i32.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_min_u32.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_min_i64.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_min_u64.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_min_f16.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_min_f32.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_min_f64.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_min_bf16.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_max_i8.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_max_u8.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_max_i32.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_max_u32.cu [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-fmagic-c1.c.o Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_max_i64.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_max_u64.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-fmagic-c1.c:23:47: warning: argument 7 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-fmagic-c1.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:265:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 265 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:299:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 299 | DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7x__scalar_fmagic_c1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_max_f16.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_max_f32.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_max_f64.cu [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-fmagic-c2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-fmagic-c2.c:23:47: warning: argument 7 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-fmagic-c2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:265:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 265 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:300:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 300 | DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7x__scalar_fmagic_c2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_max_bf16.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_premulsum_i8.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_premulsum_u8.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_premulsum_i32.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_premulsum_u32.cu [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-fmagic-c4.c.o Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_premulsum_i64.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-fmagic-c4.c:23:47: warning: argument 7 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-fmagic-c4.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:265:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 265 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:301:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 301 | DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7x__scalar_fmagic_c4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_premulsum_u64.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_premulsum_f16.cu [ 30%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_generator.cc.o Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_premulsum_f32.cu [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-imagic-c1.c.o Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_premulsum_f64.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_premulsum_bf16.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-imagic-c1.c:23:47: warning: argument 7 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-imagic-c1.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:265:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 265 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:295:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 295 | DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7x__scalar_imagic_c1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_i8.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_u8.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_i32.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_u32.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_i64.cu [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-imagic-c2.c.o Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_u64.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_f16.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_f32.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_f64.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_bf16.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-imagic-c2.c:23:47: warning: argument 7 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-imagic-c2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:265:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 265 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:296:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 296 | DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7x__scalar_imagic_c2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_enum.cc: In member function ‘void google::protobuf::compiler::java::EnumGenerator::Generate(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_enum.cc:88:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 88 | for (int i = 0; i < canonical_values_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_enum.cc:96:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 96 | for (int i = 0; i < canonical_values_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_enum.cc:128:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 128 | for (int i = 0; i < aliases_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_enum.cc:202:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 202 | for (int i = 0; i < canonical_values_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_enum.cc: In member function ‘bool google::protobuf::compiler::java::EnumGenerator::CanUseEnumValues()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_enum.cc:376:32: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 376 | if (canonical_values_.size() != descriptor_->value_count()) { | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_generator_factory.cc.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-imagic-c4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-imagic-c4.c:23:47: warning: argument 7 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-imagic-c4.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:265:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 265 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:297:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 297 | DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7x__scalar_imagic_c4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_sse41_u8_copy_bn_kern_autogen.cpp.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-lrintf-c1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-lrintf-c1.c:24:47: warning: argument 7 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-lrintf-c1.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:265:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 265 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:303:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 303 | DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7x__scalar_lrintf_c1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-lrintf-c2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-lrintf-c2.c:24:47: warning: argument 7 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-lrintf-c2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:265:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 265 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:304:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 304 | DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7x__scalar_lrintf_c2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-lrintf-c4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-lrintf-c4.c:24:47: warning: argument 7 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-lrintf-c4.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:265:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 265 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:305:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 305 | DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7x__scalar_lrintf_c4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_enum_lite.cc: In member function ‘void google::protobuf::compiler::java::EnumLiteGenerator::Generate(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_enum_lite.cc:87:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 87 | for (int i = 0; i < canonical_values_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_enum_lite.cc:110:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 110 | for (int i = 0; i < aliases_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_enum_lite.cc:171:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 171 | for (int i = 0; i < canonical_values_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x2-minmax-fp32-scalar-fmagic.c.o [ 31%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_sse41_u8_copy_bt_kern_autogen.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x2-minmax-fp32-scalar-fmagic.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x2-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:926:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 926 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x2__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_helpers.cc.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x2-minmax-fp32-scalar-imagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x2-minmax-fp32-scalar-imagic.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x2-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:935:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 935 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x2__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_file.cc: In function ‘bool google::protobuf::compiler::java::{anonymous}::CollectExtensions(const google::protobuf::Message&, FieldDescriptorSet*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_file.cc:96:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 96 | for (int i = 0; i < fields.size(); i++) { | ~~^~~~~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x2-minmax-fp32-scalar-lrintf.c.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x2-minmax-rndnu-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x2-minmax-rndnu-scalar.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x2-minmax-rndnu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:917:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 917 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_rndnu_ukernel_1x2__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x2-minmax-fp32-scalar-lrintf.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x2-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:944:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 944 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x2__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4-minmax-fp32-scalar-fmagic.c.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4-minmax-fp32-scalar-imagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4-minmax-fp32-scalar-fmagic.c:26:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:927:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 927 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4-minmax-fp32-scalar-imagic.c:26:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:936:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 936 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_map_field.cc.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4-minmax-fp32-scalar-lrintf.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4-minmax-fp32-scalar-lrintf.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:945:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 945 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4-minmax-rndnu-scalar.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_helpers.h:41, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_file.cc:45: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/printer.h: In instantiation of ‘void google::protobuf::io::AnnotationProtoCollector::AddAnnotation(size_t, size_t, const std::string&, const std::vector&) [with AnnotationProto = google::protobuf::GeneratedCodeInfo; size_t = long unsigned int; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/printer.h:85:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/printer.h:90:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 90 | for (int i = 0; i < path.size(); ++i) { | ~~^~~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x2-minmax-fp32-scalar-fmagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4-minmax-rndnu-scalar.c:26:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4-minmax-rndnu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:918:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 918 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_rndnu_ukernel_1x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_generator.cc: In member function ‘virtual bool google::protobuf::compiler::java::JavaGenerator::Generate(const google::protobuf::FileDescriptor*, const std::string&, google::protobuf::compiler::GeneratorContext*, std::string*) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_generator.cc:76:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::__cxx11::basic_string > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 76 | for (int i = 0; i < options.size(); i++) { | ~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_generator.cc:129:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 129 | for (int i = 0; i < file_generators.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_generator.cc:131:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 131 | for (int j = 0; j < file_generators.size(); ++j) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_generator.cc:138:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 138 | for (int i = 0; i < file_generators.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_generator.cc:176:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 176 | for (int i = 0; i < file_generators.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_generator.cc:188:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 188 | for (int i = 0; i < all_files.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_generator.cc:199:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 199 | for (int i = 0; i < all_annotations.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x2-minmax-fp32-scalar-imagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x2-minmax-fp32-scalar-fmagic.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x2-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:928:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 928 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x2__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_map_field_lite.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x2-minmax-fp32-scalar-imagic.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x2-minmax-fp32-scalar-lrintf.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x2-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:937:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 937 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x2__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x2-minmax-rndnu-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x2-minmax-fp32-scalar-lrintf.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x2-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:946:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 946 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x2__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x2-minmax-rndnu-scalar.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x2-minmax-rndnu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:919:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 919 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_rndnu_ukernel_2x2__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_helpers.h:41, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_generator.cc:42: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/printer.h: In instantiation of ‘void google::protobuf::io::AnnotationProtoCollector::AddAnnotation(size_t, size_t, const std::string&, const std::vector&) [with AnnotationProto = google::protobuf::GeneratedCodeInfo; size_t = long unsigned int; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/printer.h:85:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/printer.h:90:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 90 | for (int i = 0; i < path.size(); ++i) { | ~~^~~~~~~~~~~~~ [ 31%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_message.cc.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4-minmax-fp32-scalar-fmagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4-minmax-fp32-scalar-fmagic.c:26:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:929:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 929 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_sse41_u8_copy_sum_an_kern_autogen.cpp.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4-minmax-fp32-scalar-imagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4-minmax-fp32-scalar-imagic.c:26:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:938:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 938 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_message_builder.cc.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4-minmax-fp32-scalar-lrintf.c.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4-minmax-rndnu-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4-minmax-rndnu-scalar.c:26:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4-minmax-rndnu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:920:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 920 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_rndnu_ukernel_2x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_message_builder_lite.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4-minmax-fp32-scalar-lrintf.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:947:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 947 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x2-minmax-fp32-scalar-fmagic.c.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x2-minmax-fp32-scalar-imagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_helpers.cc: In function ‘bool google::protobuf::compiler::java::{anonymous}::IsForbidden(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_helpers.cc:93:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 93 | for (int i = 0; i < GOOGLE_ARRAYSIZE(kForbiddenWordList); ++i) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_helpers.cc: In function ‘std::string google::protobuf::compiler::java::UnderscoresToCamelCase(const std::string&, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_helpers.cc:162:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 162 | for (int i = 0; i < input.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_helpers.cc: In function ‘bool google::protobuf::compiler::java::AllAscii(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_helpers.cc:492:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 492 | for (int i = 0; i < text.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x2-minmax-fp32-scalar-fmagic.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x2-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:930:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 930 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x2__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x2-minmax-fp32-scalar-imagic.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x2-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:939:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 939 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x2__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_message_field.cc.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x2-minmax-fp32-scalar-lrintf.c.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x2-minmax-rndnu-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x2-minmax-fp32-scalar-lrintf.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x2-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:948:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 948 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x2__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x2-minmax-rndnu-scalar.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x2-minmax-rndnu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:921:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 921 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_rndnu_ukernel_3x2__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_message_field_lite.cc.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4-minmax-fp32-scalar-fmagic.c.o [ 31%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_message_lite.cc.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4-minmax-fp32-scalar-imagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4-minmax-fp32-scalar-fmagic.c:26:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4-minmax-fp32-scalar-imagic.c:26:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:931:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 931 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:940:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 940 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_name_resolver.cc.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4-minmax-fp32-scalar-lrintf.c.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sum_i8.o [ 31%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_primitive_field.cc.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4-minmax-rndnu-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4-minmax-fp32-scalar-lrintf.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:949:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 949 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4-minmax-rndnu-scalar.c:26:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4-minmax-rndnu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:922:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 922 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_rndnu_ukernel_3x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x2-minmax-fp32-scalar-fmagic.c.o [ 31%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_sse41_u8_copy_sum_at_kern_autogen.cpp.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x2-minmax-fp32-scalar-imagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x2-minmax-fp32-scalar-fmagic.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x2-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:932:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 932 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_4x2__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_primitive_field_lite.cc.o [ 31%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_service.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x2-minmax-fp32-scalar-imagic.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x2-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:941:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 941 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_4x2__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x2-minmax-fp32-scalar-lrintf.c.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x2-minmax-rndnu-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_message.cc: In member function ‘void google::protobuf::compiler::java::ImmutableMessageGenerator::GenerateMessageSerializationMethods(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_message.cc:614:44: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 614 | i < descriptor_->field_count() || j < sorted_extensions.size();) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_message.cc:617:18: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 617 | } else if (j == sorted_extensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x2-minmax-fp32-scalar-lrintf.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x2-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:950:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 950 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_4x2__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_message.cc: In member function ‘void google::protobuf::compiler::java::ImmutableMessageGenerator::GenerateDescriptorMethods(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_message.cc:830:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 830 | for (int i = 0; i < map_fields.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x2-minmax-rndnu-scalar.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x2-minmax-rndnu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:923:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 923 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_rndnu_ukernel_4x2__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x4-minmax-fp32-scalar-fmagic.c.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x4-minmax-fp32-scalar-imagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4-minmax-fp32-scalar-fmagic.c:26:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:933:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 933 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_4x4__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4-minmax-fp32-scalar-imagic.c:26:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:942:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 942 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_4x4__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x4-minmax-fp32-scalar-lrintf.c.o [ 31%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_shared_code_generator.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_message_builder.cc: In member function ‘void google::protobuf::compiler::java::MessageBuilderGenerator::GenerateDescriptorMethods(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_message_builder.cc:225:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 225 | for (int i = 0; i < map_fields.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_message_builder.cc:250:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 250 | for (int i = 0; i < map_fields.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x4-minmax-rndnu-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4-minmax-fp32-scalar-lrintf.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:951:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 951 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_4x4__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4-minmax-rndnu-scalar.c:26:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4-minmax-rndnu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:924:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 924 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_rndnu_ukernel_4x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x2-minmax-fp32-scalar-fmagic.c.o [ 31%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_sse41_u8_copy_sum_bn_kern_autogen.cpp.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x2-minmax-fp32-scalar-imagic.c.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x2-minmax-fp32-scalar-lrintf.c.o [ 31%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_string_field.cc.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x2-minmax-rndnu-scalar.c.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4-minmax-fp32-scalar-fmagic.c.o [ 31%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_sse41_u8_copy_sum_bt_kern_autogen.cpp.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4-minmax-fp32-scalar-imagic.c.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4-minmax-fp32-scalar-lrintf.c.o [ 31%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm_bf16_convolution.cpp.o [ 31%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm_bf16_inner_product.cpp.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4-minmax-rndnu-scalar.c.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x2-minmax-fp32-scalar-fmagic.c.o [ 31%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/injectors/injector_utils.cpp.o [ 31%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_string_field_lite.cc.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x2-minmax-fp32-scalar-imagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_shared_code_generator.cc: In member function ‘void google::protobuf::compiler::java::SharedCodeGenerator::GenerateDescriptors(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_shared_code_generator.cc:145:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 145 | for (int i = 0; i < file_data.size(); i += kBytesPerLine) { | ~~^~~~~~~~~~~~~~~~~~ [ 31%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/js/js_generator.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_shared_code_generator.cc:185:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::__cxx11::basic_string > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 185 | for (int i = 0; i < dependencies.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x2-minmax-fp32-scalar-lrintf.c.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x2-minmax-rndnu-scalar.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_helpers.h:41, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_shared_code_generator.cc:37: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/printer.h: In instantiation of ‘void google::protobuf::io::AnnotationProtoCollector::AddAnnotation(size_t, size_t, const std::string&, const std::vector&) [with AnnotationProto = google::protobuf::GeneratedCodeInfo; size_t = long unsigned int; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/printer.h:85:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/printer.h:90:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 90 | for (int i = 0; i < path.size(); ++i) { | ~~^~~~~~~~~~~~~ [ 31%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/injectors/jit_uni_binary_injector.cpp.o [ 31%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/js/well_known_types_embed.cc.o [ 31%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/objectivec/objectivec_enum.cc.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4-minmax-fp32-scalar-fmagic.c.o [ 31%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/objectivec/objectivec_enum_field.cc.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4-minmax-fp32-scalar-imagic.c.o [ 31%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/objectivec/objectivec_extension.cc.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4-minmax-fp32-scalar-lrintf.c.o [ 31%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/objectivec/objectivec_field.cc.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4-minmax-rndnu-scalar.c.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x2-minmax-fp32-scalar-fmagic.c.o [ 31%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/injectors/jit_uni_eltwise_injector.cpp.o [ 31%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/objectivec/objectivec_file.cc.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x2-minmax-fp32-scalar-imagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc: In function ‘std::vector > google::protobuf::compiler::js::{anonymous}::ParseLowerUnderscore(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc:279:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 279 | for (int i = 0; i < input.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc: In function ‘std::vector > google::protobuf::compiler::js::{anonymous}::ParseUpperCamel(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc:298:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 298 | for (int i = 0; i < input.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc: In function ‘std::string google::protobuf::compiler::js::{anonymous}::ToLowerCamel(const std::vector >&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc:313:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 313 | for (int i = 0; i < words.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc: In function ‘std::string google::protobuf::compiler::js::{anonymous}::ToUpperCamel(const std::vector >&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc:327:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 327 | for (int i = 0; i < words.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc: In function ‘std::string google::protobuf::compiler::js::{anonymous}::ToEnumCase(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc:344:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 344 | for (int i = 0; i < input.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc: In function ‘std::string google::protobuf::compiler::js::{anonymous}::ToLower(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc:359:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 359 | for (int i = 0; i < input.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc: In function ‘std::string google::protobuf::compiler::js::{anonymous}::RelativeTypeName(const google::protobuf::FieldDescriptor*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc:1252:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1252 | for (int i = 0; i < type.size() && i < containing_type.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc:1252:40: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1252 | for (int i = 0; i < type.size() && i < containing_type.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc:1256:29: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1256 | if (type[i] == '.' && i >= package.size()) { | ~~^~~~~~~~~~~~~~~~~ [ 31%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/objectivec/objectivec_generator.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc: In function ‘void google::protobuf::compiler::js::{anonymous}::GenerateJspbFileOrder(const std::vector&, std::vector*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc:1522:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1522 | for (int i = 0; i < input.size(); i++) { | ~~^~~~~~~~~~~~~~ [ 31%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc: In function ‘bool google::protobuf::compiler::js::{anonymous}::GenerateJspbAllowedMap(const google::protobuf::compiler::js::GeneratorOptions&, const std::vector&, std::map >*, google::protobuf::compiler::SCCAnalyzer*, std::string*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc:1572:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1572 | for (int i = 0; i < files_ordered.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc: In member function ‘void google::protobuf::compiler::js::Generator::FindProvides(const google::protobuf::compiler::js::GeneratorOptions&, google::protobuf::io::Printer*, const std::vector&, std::set >*) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc:1676:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1676 | for (int i = 0; i < files.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc: In member function ‘void google::protobuf::compiler::js::Generator::FindProvidesForFields(const google::protobuf::compiler::js::GeneratorOptions&, google::protobuf::io::Printer*, const std::vector&, std::set >*) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc:1737:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1737 | for (int i = 0; i < fields.size(); i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc: In member function ‘void google::protobuf::compiler::js::Generator::GenerateRequiresForLibrary(const google::protobuf::compiler::js::GeneratorOptions&, google::protobuf::io::Printer*, const std::vector&, std::set >*) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc:1817:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1817 | for (int i = 0; i < files.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc: In member function ‘void google::protobuf::compiler::js::Generator::GenerateRequiresForExtensions(const google::protobuf::compiler::js::GeneratorOptions&, google::protobuf::io::Printer*, const std::vector&, std::set >*) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc:1860:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1860 | for (int i = 0; i < fields.size(); i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc: In member function ‘bool google::protobuf::compiler::js::GeneratorOptions::ParseFromOptions(const std::vector, std::__cxx11::basic_string > >&, std::string*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc:3469:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::__cxx11::basic_string > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3469 | for (int i = 0; i < options.size(); i++) { | ~~^~~~~~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x2-minmax-fp32-scalar-lrintf.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc: In member function ‘void google::protobuf::compiler::js::Generator::GenerateFilesInDepOrder(const google::protobuf::compiler::js::GeneratorOptions&, google::protobuf::io::Printer*, const std::vector&) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc:3578:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3578 | for (int i = 0; i < files.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc: In member function ‘virtual bool google::protobuf::compiler::js::Generator::GenerateAll(const std::vector&, const std::string&, google::protobuf::compiler::GeneratorContext*, std::string*) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc:3744:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3744 | for (int i = 0; i < files.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc:3766:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3766 | for (int i = 0; i < extensions.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc:3788:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3788 | for (int i = 0; i < files.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc:3938:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3938 | for (int i = 0; i < files.size(); i++) { | ~~^~~~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x2-minmax-rndnu-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_enum.cc: In member function ‘void google::protobuf::compiler::objectivec::EnumGenerator::GenerateHeader(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_enum.cc:126:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 126 | for (int i = 0; i < all_values_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_enum.cc: In member function ‘void google::protobuf::compiler::objectivec::EnumGenerator::GenerateSource(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_enum.cc:177:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 177 | for (int i = 0; i < all_values_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_enum.cc:196:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 196 | for (int i = 0; i < text_blob.size(); i += kBytesPerLine) { | ~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_enum.cc:204:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 204 | for (int i = 0; i < all_values_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_enum.cc:245:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 245 | for (int i = 0; i < base_values_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4-minmax-fp32-scalar-fmagic.c.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4-minmax-fp32-scalar-imagic.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc:48: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/printer.h: In instantiation of ‘void google::protobuf::io::AnnotationProtoCollector::AddAnnotation(size_t, size_t, const std::string&, const std::vector&) [with AnnotationProto = google::protobuf::GeneratedCodeInfo; size_t = long unsigned int; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/printer.h:85:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/printer.h:90:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 90 | for (int i = 0; i < path.size(); ++i) { | ~~^~~~~~~~~~~~~ [ 31%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/objectivec/objectivec_map_field.cc.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4-minmax-fp32-scalar-lrintf.c.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4-minmax-rndnu-scalar.c.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x2-minmax-fp32-scalar-fmagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc: In function ‘std::unordered_set > google::protobuf::compiler::objectivec::{anonymous}::MakeWordsMap(const char* const*, size_t)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc:89:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 89 | for (int i = 0; i < num_words; i++) { | ~~^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc: In function ‘std::string google::protobuf::compiler::objectivec::{anonymous}::UnderscoresToCamelCase(const std::string&, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc:114:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 114 | for (int i = 0; i < input.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc:155:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 155 | for (int j = 0; j < value.length(); j++) { | ~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc: In function ‘std::string google::protobuf::compiler::objectivec::UnCamelCaseEnumShortName(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc:523:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 523 | for (int i = 0; i < name.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc: In function ‘std::string google::protobuf::compiler::objectivec::UnCamelCaseFieldName(const std::string&, const google::protobuf::FieldDescriptor*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc:613:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 613 | for (int i = 0; i < worker.size(); i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc: In function ‘std::string google::protobuf::compiler::objectivec::BuildCommentsString(const google::protobuf::SourceLocation&, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc:970:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 970 | for (int i = 0; i < lines.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc: In function ‘void google::protobuf::compiler::objectivec::RemoveComment(google::protobuf::StringPiece*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc:1037:14: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const google::protobuf::StringPiece::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 1037 | if (offset != StringPiece::npos) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc: In member function ‘virtual bool google::protobuf::compiler::objectivec::{anonymous}::ExpectedPrefixesCollector::ConsumeLine(const google::protobuf::StringPiece&, std::string*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc:1058:14: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const google::protobuf::StringPiece::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 1058 | if (offset == StringPiece::npos) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc: In function ‘bool google::protobuf::compiler::objectivec::ValidateObjCClassPrefixes(const std::vector&, const Options&, std::string*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc:1222:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1222 | for (int i = 0; i < files.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_generator.cc: In member function ‘virtual bool google::protobuf::compiler::objectivec::ObjectiveCGenerator::GenerateAll(const std::vector&, const std::string&, google::protobuf::compiler::GeneratorContext*, std::string*) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_generator.cc:76:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::__cxx11::basic_string > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 76 | for (int i = 0; i < options.size(); i++) { | ~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc: In static member function ‘static std::string google::protobuf::compiler::objectivec::TextFormatDecodeData::DecodeDataForString(const std::string&, const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc:1428:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1428 | for (int y = 0; y < desired_output.size(); y++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc:1435:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1435 | if (x >= input_for_decode.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc:1447:9: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1447 | if (x != input_for_decode.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_generator.cc:151:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 151 | for (int i = 0; i < files.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc: In member function ‘virtual bool google::protobuf::compiler::objectivec::ImportWriter::ProtoFrameworkCollector::ConsumeLine(const google::protobuf::StringPiece&, std::string*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc:1726:14: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const google::protobuf::StringPiece::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 1726 | if (offset == StringPiece::npos) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc:1739:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const google::protobuf::StringPiece::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 1739 | if (offset == StringPiece::npos) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc:1756:32: warning: comparison of integer expressions of different signedness: ‘google::protobuf::stringpiece_ssize_type’ {aka ‘long int’} and ‘const google::protobuf::StringPiece::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 1756 | if (proto_file.find(' ') != StringPiece::npos) { | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ [ 32%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/objectivec/objectivec_message.cc.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x2-minmax-fp32-scalar-imagic.c.o In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::cvtdq2ps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:190:57, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vcvtdq2ps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1491:21, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::deq_h(Vmm, Xbyak::Address, int) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:635:22: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::deq_h(Vmm, Xbyak::Address, int) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:619:20: note: object ‘dst’ of size 8 619 | void deq_h(Vmm dst, Xbyak::Address src, int in_len) { | ~~~~^~~ [ 32%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/objectivec/objectivec_message_field.cc.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x2-minmax-fp32-scalar-lrintf.c.o [ 32%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/objectivec/objectivec_oneof.cc.o [ 32%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/objectivec/objectivec_primitive_field.cc.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x2-minmax-rndnu-scalar.c.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x4-minmax-fp32-scalar-fmagic.c.o [ 32%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/php/php_generator.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx_kernel_sgemm_kern_part2_autogen.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx_kernel_sgemm_kern::generate_part2(Xbyak::Label&, Xbyak::Label&, Xbyak::Label&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx_kernel_sgemm_kern_part2_autogen.cpp:26:6: note: variable tracking size limit exceeded with ‘-fvar-tracking-assignments’, retrying without 26 | void jit_avx_kernel_sgemm_kern::generate_part2( | ^~~~~~~~~~~~~~~~~~~~~~~~~ [ 32%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/plugin.cc.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x4-minmax-fp32-scalar-imagic.c.o [ 32%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/injectors/jit_uni_postops_injector.cpp.o [ 32%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/plugin.pb.cc.o [ 32%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/python/python_generator.cc.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x4-minmax-fp32-scalar-lrintf.c.o [ 32%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/ip_convolution.cpp.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x4-minmax-rndnu-scalar.c.o [ 32%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx2_1x1_conv_kernel_f32.cpp.o [ 32%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx2_1x1_convolution.cpp.o [ 32%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx2_conv_kernel_f32.cpp.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-requantization/qu8-requantization-fp32-scalar-fmagic.c.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-requantization/qu8-requantization-fp32-scalar-lrintf.c.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-requantization/qu8-requantization-gemmlowp-scalar.c.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-requantization/qu8-requantization-rndna-scalar-signed64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_message.cc: In member function ‘void google::protobuf::compiler::objectivec::MessageGenerator::GenerateSource(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_message.cc:559:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 559 | for (int i = 0; i < text_format_data_str.size(); i += kBytesPerLine) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_message.cc:573:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 573 | for (int i = 0; i < sorted_extensions.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~ [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-requantization/qu8-requantization-rndna-scalar-unsigned32.c.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-requantization/qu8-requantization-rndna-scalar-unsigned64.c.o [ 32%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/ruby/ruby_generator.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc: In function ‘std::string google::protobuf::compiler::php::PhpName(const std::string&, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc:288:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 288 | for (int i = 0; i < full_name.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc: In function ‘std::string google::protobuf::compiler::php::GeneratedMetadataFileName(const google::protobuf::FileDescriptor*, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc:365:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const std::__cxx11::basic_string::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 365 | while (first_index != string::npos) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc:376:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const std::__cxx11::basic_string::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 376 | if (file_name_start == string::npos) { | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc: In function ‘std::string google::protobuf::compiler::php::GeneratedServiceFileName(const google::protobuf::ServiceDescriptor*, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc:415:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 415 | for (int i = 0; i < result.size(); i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc: In function ‘std::string google::protobuf::compiler::php::UnderscoresToCamelCase(const std::string&, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc:558:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 558 | for (int i = 0; i < name.size(); i++) { | ~~^~~~~~~~~~~~~ [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vadd/gen/qu8-vadd-minmax-scalar-x1.c.o [ 32%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/subprocess.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc: In function ‘std::string google::protobuf::compiler::php::FilenameToClassname(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc:1183:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1183 | for (int i = 0; i < result.size(); i++) { | ~~^~~~~~~~~~~~~~~ [ 32%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/zip_writer.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc: In function ‘void google::protobuf::compiler::php::GenerateMetadataFile(const google::protobuf::FileDescriptor*, bool, bool, const std::set >&, google::protobuf::compiler::GeneratorContext*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc:1206:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const std::__cxx11::basic_string::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 1206 | if (lastindex != string::npos) { | ~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc: In function ‘void google::protobuf::compiler::php::GenerateEnumFile(const google::protobuf::FileDescriptor*, const google::protobuf::EnumDescriptor*, bool, google::protobuf::compiler::GeneratorContext*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc:1280:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const std::__cxx11::basic_string::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 1280 | if (lastindex != string::npos) { | ~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc:1292:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const std::__cxx11::basic_string::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 1292 | if (lastindex != string::npos) { | ~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc: In function ‘void google::protobuf::compiler::php::GenerateMessageFile(const google::protobuf::FileDescriptor*, const google::protobuf::Descriptor*, bool, bool, google::protobuf::compiler::GeneratorContext*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc:1392:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const std::__cxx11::basic_string::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 1392 | if (lastindex != string::npos) { | ~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc:1401:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const std::__cxx11::basic_string::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 1401 | if (lastindex != string::npos) { | ~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc: In function ‘void google::protobuf::compiler::php::GenerateServiceFile(const google::protobuf::FileDescriptor*, const google::protobuf::ServiceDescriptor*, bool, google::protobuf::compiler::GeneratorContext*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc:1500:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const std::__cxx11::basic_string::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 1500 | lastindex != string::npos) { | ~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc:1508:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const std::__cxx11::basic_string::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 1508 | if (lastindex != string::npos) { | ~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc: In function ‘void google::protobuf::compiler::php::GenerateDocCommentBodyForLocation(google::protobuf::io::Printer*, const google::protobuf::SourceLocation&, bool, int)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc:1617:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1617 | for (int i = 0; i < lines.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc: In member function ‘virtual bool google::protobuf::compiler::php::Generator::GenerateAll(const std::vector&, const std::string&, google::protobuf::compiler::GeneratorContext*, std::string*) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc:1852:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1852 | for (int i = 0; i < options.size(); i++) { | ~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-scalar-x1.c:21:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-scalar-x1.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:64:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 64 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vadd_minmax_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vadd/gen/qu8-vadd-minmax-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-scalar-x2.c:21:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-scalar-x2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:65:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 65 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vadd_minmax_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc: In instantiation of ‘std::string google::protobuf::compiler::php::GeneratedClassFileName(const DescriptorType*, bool) [with DescriptorType = google::protobuf::EnumDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc:1270:48: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc:391:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 391 | for (int i = 0; i < result.size(); i++) { | ~~^~~~~~~~~~~~~~~ [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vadd/gen/qu8-vadd-minmax-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc: In instantiation of ‘std::string google::protobuf::compiler::php::GeneratedClassFileName(const DescriptorType*, bool) [with DescriptorType = google::protobuf::Descriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc:1382:48: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc:391:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-scalar-x4.c:21:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-scalar-x4.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:66:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 66 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vadd_minmax_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc: In instantiation of ‘std::string google::protobuf::compiler::php::LegacyGeneratedClassFileName(const DescriptorType*, bool) [with DescriptorType = google::protobuf::EnumDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc:1235:54: required from ‘void google::protobuf::compiler::php::LegacyGenerateClassFile(const google::protobuf::FileDescriptor*, const DescriptorType*, bool, google::protobuf::compiler::GeneratorContext*) [with DescriptorType = google::protobuf::EnumDescriptor]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc:1368:28: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc:404:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 404 | for (int i = 0; i < result.size(); i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc: In instantiation of ‘std::string google::protobuf::compiler::php::LegacyGeneratedClassFileName(const DescriptorType*, bool) [with DescriptorType = google::protobuf::Descriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc:1235:54: required from ‘void google::protobuf::compiler::php::LegacyGenerateClassFile(const google::protobuf::FileDescriptor*, const DescriptorType*, bool, google::protobuf::compiler::GeneratorContext*) [with DescriptorType = google::protobuf::Descriptor]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc:1470:28: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc:404:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/python/python_generator.cc: In function ‘bool google::protobuf::compiler::python::{anonymous}::ContainsPythonKeyword(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/python/python_generator.cc:121:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 121 | for (int i = 0; i < tokens.size(); ++i) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/python/python_generator.cc: In member function ‘virtual bool google::protobuf::compiler::python::Generator::Generate(const google::protobuf::FileDescriptor*, const std::string&, google::protobuf::compiler::GeneratorContext*, std::string*) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/python/python_generator.cc:319:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::__cxx11::basic_string > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 319 | for (int i = 0; i < options.size(); i++) { | ~~^~~~~~~~~~~~~~~~ [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/python/python_generator.cc: In member function ‘void google::protobuf::compiler::python::Generator::PrintImports() const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/python/python_generator.cc:412:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const std::__cxx11::basic_string::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 412 | if (last_dot_pos == std::string::npos) { | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/python/python_generator.cc: In member function ‘void google::protobuf::compiler::python::Generator::PrintTopLevelEnums() const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/python/python_generator.cc:508:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, int> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 508 | for (int i = 0; i < top_level_enum_values.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-scalar-x1.c:21:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-scalar-x1.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:102:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 102 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vaddc_minmax_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/python/python_generator.cc: In member function ‘void google::protobuf::compiler::python::Generator::PrintMessages() const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/python/python_generator.cc:839:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 839 | for (int j = 0; j < to_register.size(); ++j) { | ~~^~~~~~~~~~~~~~~~~~~~ [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-scalar-x2.c:21:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-scalar-x2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:103:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 103 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vaddc_minmax_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-scalar-x4.c:21:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-scalar-x4.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:104:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 104 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vaddc_minmax_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vcvt/gen/qu8-vcvt-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-scalar-x1.c:20:36: warning: argument 4 of type ‘const union xnn_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-scalar-x1.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:397:39: note: previously declared as ‘const union xnn_qu8_cvt_params *’ 397 | const union xnn_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:432:1: note: in expansion of macro ‘DECLARE_QU8_VCVT_UKERNEL_FUNCTION’ 432 | DECLARE_QU8_VCVT_UKERNEL_FUNCTION(xnn_qu8_vcvt_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vcvt/gen/qu8-vcvt-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-scalar-x2.c:20:36: warning: argument 4 of type ‘const union xnn_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-scalar-x2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:397:39: note: previously declared as ‘const union xnn_qu8_cvt_params *’ 397 | const union xnn_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:433:1: note: in expansion of macro ‘DECLARE_QU8_VCVT_UKERNEL_FUNCTION’ 433 | DECLARE_QU8_VCVT_UKERNEL_FUNCTION(xnn_qu8_vcvt_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vcvt/gen/qu8-vcvt-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/zip_writer.cc: In function ‘google::protobuf::uint32 google::protobuf::compiler::ComputeCRC32(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/zip_writer.cc:94:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 94 | for (int i = 0; i < buf.size(); ++i) { | ~~^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-scalar-x4.c:20:36: warning: argument 4 of type ‘const union xnn_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-scalar-x4.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:397:39: note: previously declared as ‘const union xnn_qu8_cvt_params *’ 397 | const union xnn_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:434:1: note: in expansion of macro ‘DECLARE_QU8_VCVT_UKERNEL_FUNCTION’ 434 | DECLARE_QU8_VCVT_UKERNEL_FUNCTION(xnn_qu8_vcvt_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-scalar-andxor-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-scalar-andxor-x1.c:20:38: warning: argument 4 of type ‘const union xnn_qu8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_qu8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-scalar-andxor-x1.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:79:41: note: previously declared as ‘const union xnn_qu8_lrelu_params *’ 79 | const union xnn_qu8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:120:1: note: in expansion of macro ‘DECLARE_QU8_VLRELU_UKERNEL_FUNCTION’ 120 | DECLARE_QU8_VLRELU_UKERNEL_FUNCTION(xnn_qu8_vlrelu_ukernel__scalar_andxor_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-scalar-andxor-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-scalar-andxor-x2.c:20:38: warning: argument 4 of type ‘const union xnn_qu8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_qu8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-scalar-andxor-x2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:79:41: note: previously declared as ‘const union xnn_qu8_lrelu_params *’ 79 | const union xnn_qu8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:121:1: note: in expansion of macro ‘DECLARE_QU8_VLRELU_UKERNEL_FUNCTION’ 121 | DECLARE_QU8_VLRELU_UKERNEL_FUNCTION(xnn_qu8_vlrelu_ukernel__scalar_andxor_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-scalar-andxor-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-scalar-andxor-x4.c:20:38: warning: argument 4 of type ‘const union xnn_qu8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_qu8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-scalar-andxor-x4.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:79:41: note: previously declared as ‘const union xnn_qu8_lrelu_params *’ 79 | const union xnn_qu8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:122:1: note: in expansion of macro ‘DECLARE_QU8_VLRELU_UKERNEL_FUNCTION’ 122 | DECLARE_QU8_VLRELU_UKERNEL_FUNCTION(xnn_qu8_vlrelu_ukernel__scalar_andxor_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/subprocess.cc: In member function ‘bool google::protobuf::compiler::Subprocess::Communicate(const google::protobuf::Message&, google::protobuf::Message*, std::string*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/subprocess.cc:409:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 409 | if (input_pos == input_data.size()) { | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-scalar-select-x1.c.o [ 32%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx2_convolution.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-scalar-select-x1.c:20:38: warning: argument 4 of type ‘const union xnn_qu8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_qu8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-scalar-select-x1.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:79:41: note: previously declared as ‘const union xnn_qu8_lrelu_params *’ 79 | const union xnn_qu8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:124:1: note: in expansion of macro ‘DECLARE_QU8_VLRELU_UKERNEL_FUNCTION’ 124 | DECLARE_QU8_VLRELU_UKERNEL_FUNCTION(xnn_qu8_vlrelu_ukernel__scalar_select_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-scalar-select-x2.c.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-scalar-select-x4.c.o [ 32%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_common_1x1_conv_kernel.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-scalar-select-x2.c:20:38: warning: argument 4 of type ‘const union xnn_qu8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_qu8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-scalar-select-x2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:79:41: note: previously declared as ‘const union xnn_qu8_lrelu_params *’ 79 | const union xnn_qu8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:125:1: note: in expansion of macro ‘DECLARE_QU8_VLRELU_UKERNEL_FUNCTION’ 125 | DECLARE_QU8_VLRELU_UKERNEL_FUNCTION(xnn_qu8_vlrelu_ukernel__scalar_select_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-scalar-select-x4.c:20:38: warning: argument 4 of type ‘const union xnn_qu8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_qu8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-scalar-select-x4.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:79:41: note: previously declared as ‘const union xnn_qu8_lrelu_params *’ 79 | const union xnn_qu8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:126:1: note: in expansion of macro ‘DECLARE_QU8_VLRELU_UKERNEL_FUNCTION’ 126 | DECLARE_QU8_VLRELU_UKERNEL_FUNCTION(xnn_qu8_vlrelu_ukernel__scalar_select_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-scalar-x1.c:21:43: warning: argument 5 of type ‘const union xnn_qu8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qu8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-scalar-x1.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:25:46: note: previously declared as ‘const union xnn_qu8_mul_minmax_params *’ 25 | const union xnn_qu8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:51:1: note: in expansion of macro ‘DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION’ 51 | DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vmul_minmax_fp32_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-scalar-x2.c.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-scalar-x2.c:21:43: warning: argument 5 of type ‘const union xnn_qu8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qu8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-scalar-x2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:25:46: note: previously declared as ‘const union xnn_qu8_mul_minmax_params *’ 25 | const union xnn_qu8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:52:1: note: in expansion of macro ‘DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION’ 52 | DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vmul_minmax_fp32_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-scalar-x4.c:21:43: warning: argument 5 of type ‘const union xnn_qu8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qu8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-scalar-x4.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:25:46: note: previously declared as ‘const union xnn_qu8_mul_minmax_params *’ 25 | const union xnn_qu8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:53:1: note: in expansion of macro ‘DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION’ 53 | DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vmul_minmax_fp32_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-scalar-x1.c:21:43: warning: argument 5 of type ‘const union xnn_qu8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qu8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-scalar-x1.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:25:46: note: previously declared as ‘const union xnn_qu8_mul_minmax_params *’ 25 | const union xnn_qu8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:80:1: note: in expansion of macro ‘DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION’ 80 | DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vmulc_minmax_fp32_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-scalar-x4.c.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-scalar-x2.c.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/s8-ibilinear/gen/s8-ibilinear-scalar-c1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/ruby/ruby_generator.cc: In function ‘std::string google::protobuf::compiler::ruby::DefaultValueForField(const google::protobuf::FieldDescriptor*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/ruby/ruby_generator.cc:158:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 158 | for (int i = 0; i < default_str.length(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~ [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/s8-ibilinear/gen/s8-ibilinear-scalar-c2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/ruby/ruby_generator.cc: In function ‘std::string google::protobuf::compiler::ruby::PackageToModule(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/ruby/ruby_generator.cc:325:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 325 | for (int i = 0; i < name.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-scalar-x2.c:21:43: warning: argument 5 of type ‘const union xnn_qu8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qu8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-scalar-x2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:25:46: note: previously declared as ‘const union xnn_qu8_mul_minmax_params *’ 25 | const union xnn_qu8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:81:1: note: in expansion of macro ‘DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION’ 81 | DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vmulc_minmax_fp32_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-scalar-x4.c:21:43: warning: argument 5 of type ‘const union xnn_qu8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qu8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-scalar-x4.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:25:46: note: previously declared as ‘const union xnn_qu8_mul_minmax_params *’ 25 | const union xnn_qu8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:82:1: note: in expansion of macro ‘DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION’ 82 | DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vmulc_minmax_fp32_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/s8-ibilinear/gen/s8-ibilinear-scalar-c4.c.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/s8-maxpool/s8-maxpool-9p8x-minmax-scalar-c1.c.o [ 32%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_common_1x1_convolution.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/s8-maxpool/s8-maxpool-9p8x-minmax-scalar-c1.c:21:38: warning: argument 9 of type ‘const union xnn_s8_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_s8_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/s8-maxpool/s8-maxpool-9p8x-minmax-scalar-c1.c:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/maxpool.h:86:41: note: previously declared as ‘const union xnn_s8_minmax_params *’ 86 | const union xnn_s8_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/maxpool.h:91:1: note: in expansion of macro ‘DECLARE_S8_MAXPOOL_MINMAX_UKERNEL_FUNCTION’ 91 | DECLARE_S8_MAXPOOL_MINMAX_UKERNEL_FUNCTION(xnn_s8_maxpool_minmax_ukernel_9p8x__scalar_c1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 32%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_common_conv_kernel.cpp.o [ 32%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_common_convolution.cpp.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/s8-vclamp/s8-vclamp-scalar-x4.c.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/s16-rmaxabs/gen/s16-rmaxabs-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/s8-vclamp/s8-vclamp-scalar-x4.c:16:38: warning: argument 4 of type ‘const union xnn_s8_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 16 | const union xnn_s8_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/s8-vclamp/s8-vclamp-scalar-x4.c:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1129:41: note: previously declared as ‘const union xnn_s8_minmax_params *’ 1129 | const union xnn_s8_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1132:1: note: in expansion of macro ‘DECLARE_S8_VCLAMP_UKERNEL_FUNCTION’ 1132 | DECLARE_S8_VCLAMP_UKERNEL_FUNCTION(xnn_s8_vclamp_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 32%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_common_resampling.cpp.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/s16-rmaxabs/gen/s16-rmaxabs-scalar-x2.c.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/s16-rmaxabs/gen/s16-rmaxabs-scalar-x3.c.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/s16-rmaxabs/gen/s16-rmaxabs-scalar-x4.c.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/s16-window/gen/s16-window-scalar-x1.c.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/s16-window/gen/s16-window-scalar-x2.c.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/s16-window/gen/s16-window-scalar-x3.c.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/u8-ibilinear/gen/u8-ibilinear-scalar-c1.c.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/s16-window/gen/s16-window-scalar-x4.c.o [ 32%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_core_amx_1x1_conv_kernel.cpp.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/u8-ibilinear/gen/u8-ibilinear-scalar-c2.c.o [ 32%] Linking CXX static library ../../../lib/libtensorpipe_cuda.a [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/u8-ibilinear/gen/u8-ibilinear-scalar-c4.c.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/u8-lut32norm/u8-lut32norm-scalar.c.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/u8-maxpool/u8-maxpool-9p8x-minmax-scalar-c1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/u8-maxpool/u8-maxpool-9p8x-minmax-scalar-c1.c:21:38: warning: argument 9 of type ‘const union xnn_u8_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_u8_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/u8-maxpool/u8-maxpool-9p8x-minmax-scalar-c1.c:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/maxpool.h:68:41: note: previously declared as ‘const union xnn_u8_minmax_params *’ 68 | const union xnn_u8_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/maxpool.h:71:1: note: in expansion of macro ‘DECLARE_U8_MAXPOOL_MINMAX_UKERNEL_FUNCTION’ 71 | DECLARE_U8_MAXPOOL_MINMAX_UKERNEL_FUNCTION(xnn_u8_maxpool_minmax_ukernel_9p8x__scalar_c1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 32%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_core_amx_1x1_convolution.cpp.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/u8-rmax/u8-rmax-scalar.c.o [ 32%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_core_amx_conv_kernel.cpp.o [ 32%] Built target tensorpipe_cuda [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/u8-vclamp/u8-vclamp-scalar-x4.c.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/u32-filterbank-accumulate/gen/u32-filterbank-accumulate-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/u8-vclamp/u8-vclamp-scalar-x4.c:16:38: warning: argument 4 of type ‘const union xnn_u8_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 16 | const union xnn_u8_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/u8-vclamp/u8-vclamp-scalar-x4.c:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1143:41: note: previously declared as ‘const union xnn_u8_minmax_params *’ 1143 | const union xnn_u8_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1146:1: note: in expansion of macro ‘DECLARE_U8_VCLAMP_UKERNEL_FUNCTION’ 1146 | DECLARE_U8_VCLAMP_UKERNEL_FUNCTION(xnn_u8_vclamp_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/u32-filterbank-subtract/u32-filterbank-subtract-scalar-x2.c.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/u32-vlog/gen/u32-vlog-scalar-x1.c.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/u32-vlog/gen/u32-vlog-scalar-x2.c.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/u32-vlog/gen/u32-vlog-scalar-x3.c.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/u32-vlog/gen/u32-vlog-scalar-x4.c.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/u64-u32-vsqrtshift/u64-u32-vsqrtshift-scalar-cvtu32-sqrt-cvtu32f64-x1.c.o [ 32%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_core_amx_convolution.cpp.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-scalar-x1.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/dnnl_thread.hpp:24, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm_bf16_inner_product.cpp:21: In function ‘void dnnl::impl::utils::array_copy(T*, const T*, size_t) [with T = long int]’, inlined from ‘dnnl::impl::status_t dnnl::impl::memory_desc_init_by_blocking_desc(memory_desc_t&, const blocking_desc_t&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/type_helpers.hpp:789:22, inlined from ‘dnnl::impl::cpu::{anonymous}::transpose_md(dnnl::impl::memory_desc_t&)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/cpu_inner_product_pd.hpp:104:42: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:202:16: warning: ‘void* __builtin_memcpy(void*, const void*, long unsigned int)’ specified bound between 18446744056529682432 and 18446744073709551608 exceeds maximum object size 9223372036854775807 [-Wstringop-overflow=] 202 | dst[i] = src[i]; | ~~~~~~~^~~~~~ In function ‘void dnnl::impl::utils::array_copy(T*, const T*, size_t) [with T = long int]’, inlined from ‘dnnl::impl::status_t dnnl::impl::memory_desc_init_by_blocking_desc(memory_desc_t&, const blocking_desc_t&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/type_helpers.hpp:792:22, inlined from ‘dnnl::impl::cpu::{anonymous}::transpose_md(dnnl::impl::memory_desc_t&)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/cpu_inner_product_pd.hpp:104:42: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:202:16: warning: ‘void* __builtin_memcpy(void*, const void*, long unsigned int)’ specified bound between 18446744056529682432 and 18446744073709551608 exceeds maximum object size 9223372036854775807 [-Wstringop-overflow=] 202 | dst[i] = src[i]; | ~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-scalar-x1.c:20:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 20 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-scalar-x1.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:28:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 28 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-scalar-x2.c:20:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 20 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-scalar-x2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:29:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 29 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-scalar-x4.c:20:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 20 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-scalar-x4.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:30:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 30 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-scalar-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-scalar-x8.c:20:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 20 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-scalar-x8.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:31:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 31 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-scalar-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-scalar-x16.c:20:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 20 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-scalar-x16.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:32:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 32 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__scalar_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-transposec/gen/x8-transposec-1x2-scalar-int.c.o [ 33%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_core_amx_deconvolution.cpp.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-transposec/gen/x8-transposec-1x4-scalar-int.c.o [ 33%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_core_bf16_1x1_conv_kernel.cpp.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-transposec/gen/x8-transposec-2x1-scalar-int.c.o [ 33%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_core_bf16_1x1_convolution.cpp.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-transposec/gen/x8-transposec-2x2-scalar-int.c.o [ 33%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_core_bf16_conv_kernel.cpp.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-transposec/gen/x8-transposec-2x4-scalar-int.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-transposec/gen/x8-transposec-4x1-scalar-int.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-transposec/gen/x8-transposec-4x2-scalar-int.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-transposec/gen/x8-transposec-4x4-scalar-int.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-zip/x8-zip-x2-scalar.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-zip/x8-zip-x3-scalar.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-zip/x8-zip-x4-scalar.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-zip/x8-zip-xm-scalar.c.o [ 33%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_core_bf16_convolution.cpp.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x16-transposec/gen/x16-transposec-1x2-scalar-int.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x16-transposec/gen/x16-transposec-1x4-scalar-int.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x16-transposec/gen/x16-transposec-2x1-scalar-int.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x16-transposec/gen/x16-transposec-2x2-scalar-int.c.o [ 33%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_core_bf16_dw_conv_kernel.cpp.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x16-transposec/gen/x16-transposec-2x4-scalar-int.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x16-transposec/gen/x16-transposec-4x1-scalar-int.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x16-transposec/gen/x16-transposec-4x2-scalar-int.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x16-transposec/gen/x16-transposec-4x4-scalar-int.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x24-transposec/gen/x24-transposec-1x2-scalar.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x24-transposec/gen/x24-transposec-1x4-scalar.c.o [ 33%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_core_bf16_sum.cpp.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x24-transposec/gen/x24-transposec-2x1-scalar.c.o [ 33%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_core_bf16cvt.cpp.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x24-transposec/gen/x24-transposec-2x2-scalar.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x24-transposec/gen/x24-transposec-2x4-scalar.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x24-transposec/gen/x24-transposec-4x1-scalar.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x24-transposec/gen/x24-transposec-4x2-scalar.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x24-transposec/gen/x24-transposec-4x4-scalar.c.o [ 33%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_core_f32_wino_conv_2x3.cpp.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-packx/x32-packx-x2-scalar.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-packx/x32-packx-x3-scalar.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/injectors/jit_uni_binary_injector.hpp:33, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/injectors/jit_uni_binary_injector.cpp:23: In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:70: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ^~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/memory_desc_wrapper.hpp:24, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/memory_storage.hpp:21, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/primitive.hpp:27, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/injectors/jit_uni_binary_injector.cpp:19: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:25: note: at offset 8 into object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ~~^~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:83: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:32: note: at offset 8 into object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ~~^~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:92: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:25: note: at offset 8 into object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ~~^~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:106: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:32: note: at offset 8 into object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ~~^~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:68: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:25: note: object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ~~^~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:82: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:32: note: object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ~~^~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:111: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:25: note: object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ~~^~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:111: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:32: note: object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ~~^~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:70: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 8 into object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:83: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 8 into object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:92: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 8 into object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:106: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 8 into object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:68: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:82: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:111: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:111: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-packx/x32-packx-x4-scalar.c.o In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:70: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:25: note: at offset 8 into object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ~~^~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:83: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:32: note: at offset 8 into object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ~~^~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:92: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:25: note: at offset 8 into object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ~~^~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:106: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:32: note: at offset 8 into object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ~~^~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:68: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:25: note: object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ~~^~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:82: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:32: note: object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ~~^~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:111: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:25: note: object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ~~^~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:111: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:32: note: object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ~~^~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:70: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 8 into object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:83: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 8 into object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:92: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 8 into object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:106: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 8 into object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:68: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:82: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:111: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:111: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-1x2-scalar-float.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-1x2-scalar-int.c.o [ 33%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_core_f32_wino_conv_4x3.cpp.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-1x4-scalar-float.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-1x4-scalar-int.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-2x1-scalar-float.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-2x1-scalar-int.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_core_f32_copy_an_kern_autogen.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_f32_copy_an_kern::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_core_f32_copy_an_kern_autogen.cpp:29:6: note: variable tracking size limit exceeded with ‘-fvar-tracking-assignments’, retrying without 29 | void jit_avx512_core_f32_copy_an_kern::generate() { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-2x2-scalar-float.c.o [ 33%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-2x2-scalar-int.c.o [ 33%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_core_fp16cvt.cpp.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-2x4-scalar-float.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-2x4-scalar-int.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-4x1-scalar-float.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-4x1-scalar-int.c.o [ 33%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_core_u8s8s32x_wino_convolution.cpp.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-4x2-scalar-float.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-4x2-scalar-int.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-4x4-scalar-float.c.o [ 33%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-4x4-scalar-int.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-unpool/x32-unpool-scalar.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-zip/x32-zip-x2-scalar.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-zip/x32-zip-x3-scalar.c.o [ 33%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_core_x8s8s32x_1x1_convolution.cpp.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-zip/x32-zip-x4-scalar.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-zip/x32-zip-xm-scalar.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-1x2-scalar-float.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-1x2-scalar-int.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-2x1-scalar-float.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-2x1-scalar-int.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-2x2-scalar-float.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-2x2-scalar-int.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-4x1-scalar-float.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-4x1-scalar-int.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-4x2-scalar-float.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-4x2-scalar-int.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/xx-copy/xx-copy-scalar-memcpy.c.o [ 33%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_core_x8s8s32x_conv_kernel.cpp.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/xx-fill/xx-fill-scalar-x16.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/xx-pad/xx-pad-scalar.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/xx-transpose/xx-transpose-1x1-scalar-memcpy.c.o [ 33%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_core_x8s8s32x_convolution.cpp.o [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-avgpool/f32-avgpool-9p8x-minmax-sse-c4.c.o [ 34%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_core_x8s8s32x_deconvolution.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-avgpool/f32-avgpool-9p8x-minmax-sse-c4.c:24:44: warning: argument 11 of type ‘const union xnn_f32_scaleminmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-avgpool/f32-avgpool-9p8x-minmax-sse-c4.c:10: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:69:47: note: previously declared as ‘const union xnn_f32_scaleminmax_params *’ 69 | const union xnn_f32_scaleminmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:73:1: note: in expansion of macro ‘DECLARE_F32_AVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 73 | DECLARE_F32_AVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_f32_avgpool_minmax_ukernel_9p8x__sse_c4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-avgpool/f32-avgpool-9x-minmax-sse-c4.c.o [ 34%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_brdgmm_dw_conv.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-avgpool/f32-avgpool-9x-minmax-sse-c4.c:23:44: warning: argument 10 of type ‘const union xnn_f32_scaleminmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-avgpool/f32-avgpool-9x-minmax-sse-c4.c:10: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:90:47: note: previously declared as ‘const union xnn_f32_scaleminmax_params *’ 90 | const union xnn_f32_scaleminmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:94:1: note: in expansion of macro ‘DECLARE_F32_AVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 94 | DECLARE_F32_AVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_avgpool_minmax_ukernel_9x__sse_c4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-conv-hwc2chw/f32-conv-hwc2chw-3x3s2p1c3x4-sse-1x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-conv-hwc2chw/f32-conv-hwc2chw-3x3s2p1c3x4-sse-1x1.c:27:39: warning: argument 13 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-conv-hwc2chw/f32-conv-hwc2chw-3x3s2p1c3x4-sse-1x1.c:10: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/conv.h:73:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 73 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/conv.h:78:1: note: in expansion of macro ‘DECLARE_F32_CONV_HWC2CHW_UKERNEL_FUNCTION’ 78 | DECLARE_F32_CONV_HWC2CHW_UKERNEL_FUNCTION(xnn_f32_conv_hwc2chw_ukernel_3x3s2p1c3x4__sse_1x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-conv-hwc2chw/f32-conv-hwc2chw-3x3s2p1c3x4-sse-2x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-conv-hwc2chw/f32-conv-hwc2chw-3x3s2p1c3x4-sse-2x2.c:27:39: warning: argument 13 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-conv-hwc2chw/f32-conv-hwc2chw-3x3s2p1c3x4-sse-2x2.c:10: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/conv.h:73:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 73 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/conv.h:79:1: note: in expansion of macro ‘DECLARE_F32_CONV_HWC2CHW_UKERNEL_FUNCTION’ 79 | DECLARE_F32_CONV_HWC2CHW_UKERNEL_FUNCTION(xnn_f32_conv_hwc2chw_ukernel_3x3s2p1c3x4__sse_2x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_brgemm_1x1_conv.cpp.o [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-1x4-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-1x4-acc2.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-1x4-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1156:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1156 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__sse_1x4_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_bf16cvt.hpp:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_bf16cvt.cpp:19: In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opIncDec(const Xbyak::Operand&, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2145:10, inlined from ‘void Xbyak::CodeGenerator::opIncDec(const Xbyak::Operand&, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2132:7, inlined from ‘void Xbyak::CodeGenerator::dec(const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:213:39, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_cvt_bf16_to_ps_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_bf16cvt.cpp:135:8: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-1x4-acc3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_bf16cvt.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_cvt_bf16_to_ps_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_bf16cvt.cpp:44:11: note: object ‘reg_nrows’ of size 8 44 | Reg64 reg_nrows = rax; // instead of abi_param4 (rcx) | ^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-1x4-acc3.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-1x4-acc3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1157:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1157 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__sse_1x4_acc3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-1x4-acc4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-1x4-acc4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-1x4-acc4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1158:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1158 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__sse_1x4_acc4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-1x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-1x4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-1x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1155:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1155 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__sse_1x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-2x4-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-2x4-acc2.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-2x4-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1160:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1160 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__sse_2x4_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-2x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-2x4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-2x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1159:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1159 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__sse_2x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_brgemm_conv.cpp.o [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-3x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-3x4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-3x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1161:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1161 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__sse_3x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_brgemm_conv_bwd.cpp.o [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-4x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-4x4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-4x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1162:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1162 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__sse_4x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-5x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-5x4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-5x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1163:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1163 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__sse_5x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-6x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-6x4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-6x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1164:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1164 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__sse_6x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_fp16cvt.cpp:21: In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opIncDec(const Xbyak::Operand&, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2145:10, inlined from ‘void Xbyak::CodeGenerator::opIncDec(const Xbyak::Operand&, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2132:7, inlined from ‘void Xbyak::CodeGenerator::dec(const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:213:39, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_fp16_cvt_f16_to_ps_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_fp16cvt.cpp:214:8: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_fp16cvt.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_fp16_cvt_f16_to_ps_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_fp16cvt.cpp:126:11: note: object ‘reg_nrows’ of size 8 126 | Reg64 reg_nrows = rax; // instead of abi_param4 (rcx) | ^~~~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-1x4-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-1x4-acc2.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-1x4-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1243:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1243 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3s2p1__sse_1x4_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-1x4-acc3.c.o [ 34%] Linking CXX static library ../../../lib/libprotoc.a /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-1x4-acc3.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-1x4-acc3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1244:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1244 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3s2p1__sse_1x4_acc3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-1x4-acc4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-1x4-acc4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-1x4-acc4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1245:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1245 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3s2p1__sse_1x4_acc4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-1x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-1x4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-1x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1242:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1242 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3s2p1__sse_1x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-2x4-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-2x4-acc2.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-2x4-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1247:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1247 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3s2p1__sse_2x4_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_brgemm_conv_bwd_w.cpp.o [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-2x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-2x4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-2x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1246:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1246 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3s2p1__sse_2x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-3x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-3x4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-3x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1248:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1248 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3s2p1__sse_3x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Built target libprotoc [ 34%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_brgemm_conv_comp_pad_kernel.cpp.o [ 34%] Building CXX object third_party/protobuf/cmake/CMakeFiles/protoc.dir/__/src/google/protobuf/compiler/main.cc.o [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-4x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-4x4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-4x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1249:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1249 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3s2p1__sse_4x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-1x4-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-1x4-acc2.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-1x4-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1320:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1320 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5p2__sse_1x4_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_brgemm_conv_trans_kernel.cpp.o [ 35%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_brgemm_conv_utils.cpp.o [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-1x4-acc3.c.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_prod_i64.o [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-1x4-acc4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-1x4-acc3.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-1x4-acc3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1321:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1321 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5p2__sse_1x4_acc3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-1x4-acc4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-1x4-acc4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1322:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1322 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5p2__sse_1x4_acc4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 35%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_brgemm_inner_product.cpp.o [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-1x4-acc5.c.o [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-1x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-1x4-acc5.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-1x4-acc5.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1323:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1323 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5p2__sse_1x4_acc5) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-1x4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-1x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1319:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1319 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5p2__sse_1x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-2x4-acc2.c.o [ 35%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_brgemm_inner_product_utils.cpp.o [ 35%] Linking CXX executable ../../../bin/protoc /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-2x4-acc2.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-2x4-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1325:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1325 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5p2__sse_2x4_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-2x4-acc3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-2x4-acc3.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-2x4-acc3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1326:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1326 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5p2__sse_2x4_acc3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-2x4.c.o [ 35%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_brgemm_transpose_utils.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-2x4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-2x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1324:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1324 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5p2__sse_2x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-3x4-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-3x4-acc2.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-3x4-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1328:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1328 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5p2__sse_3x4_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 35%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_gemm_inner_product_utils.cpp.o [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-3x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-3x4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-3x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1327:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1327 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5p2__sse_3x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-4x4-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-4x4-acc2.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-4x4-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1330:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1330 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5p2__sse_4x4_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 35%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_gemm_x8s8s32x_conv_zp_src_pad_comp.cpp.o [ 35%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_gemm_x8s8s32x_convolution_utils.cpp.o [ 35%] Built target protoc [ 35%] Running C++/Python protocol buffer compiler on /builddir/build/BUILD/pytorch-v2.0.1/caffe2/proto/torch.proto [ 35%] Running C++/Python protocol buffer compiler on /builddir/build/BUILD/pytorch-v2.0.1/caffe2/proto/caffe2.proto [ 35%] Building CXX object caffe2/proto/CMakeFiles/Caffe2_PROTO.dir/torch.pb.cc.o [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-4x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-4x4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-4x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1329:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1329 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5p2__sse_4x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-5x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-5x4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-5x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1331:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1331 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5p2__sse_5x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 35%] Running gen_proto.py on onnx/onnx.in.proto Processing /builddir/build/BUILD/pytorch-v2.0.1/third_party/onnx/onnx/onnx.in.proto Writing /builddir/build/BUILD/pytorch-v2.0.1/build/third_party/onnx/onnx/onnx_onnx_torch-ml.proto Writing /builddir/build/BUILD/pytorch-v2.0.1/build/third_party/onnx/onnx/onnx_onnx_torch-ml.proto3 Writing /builddir/build/BUILD/pytorch-v2.0.1/build/third_party/onnx/onnx/onnx-ml.pb.h generating /builddir/build/BUILD/pytorch-v2.0.1/build/third_party/onnx/onnx/onnx_pb.py [ 35%] Running C++ protocol buffer compiler on /builddir/build/BUILD/pytorch-v2.0.1/build/third_party/onnx/onnx/onnx_onnx_torch-ml.proto [ 35%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_sse41_1x1_conv_kernel_f32.cpp.o [ 35%] Built target gen_onnx_proto [ 35%] Running gen_proto.py on onnx/onnx-data.in.proto Processing /builddir/build/BUILD/pytorch-v2.0.1/third_party/onnx/onnx/onnx-data.in.proto Writing /builddir/build/BUILD/pytorch-v2.0.1/build/third_party/onnx/onnx/onnx-data_onnx_torch.proto Writing /builddir/build/BUILD/pytorch-v2.0.1/build/third_party/onnx/onnx/onnx-data_onnx_torch.proto3 Writing /builddir/build/BUILD/pytorch-v2.0.1/build/third_party/onnx/onnx/onnx-data.pb.h generating /builddir/build/BUILD/pytorch-v2.0.1/build/third_party/onnx/onnx/onnx_data_pb.py [ 35%] Running C++ protocol buffer compiler on /builddir/build/BUILD/pytorch-v2.0.1/build/third_party/onnx/onnx/onnx-data_onnx_torch.proto [ 35%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_sse41_1x1_convolution.cpp.o [ 35%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_sse41_conv_kernel_f32.cpp.o [ 35%] Built target gen_onnx_data_proto [ 35%] Running gen_proto.py on onnx/onnx-operators.in.proto Processing /builddir/build/BUILD/pytorch-v2.0.1/third_party/onnx/onnx/onnx-operators.in.proto Writing /builddir/build/BUILD/pytorch-v2.0.1/build/third_party/onnx/onnx/onnx-operators_onnx_torch-ml.proto Writing /builddir/build/BUILD/pytorch-v2.0.1/build/third_party/onnx/onnx/onnx-operators_onnx_torch-ml.proto3 Writing /builddir/build/BUILD/pytorch-v2.0.1/build/third_party/onnx/onnx/onnx-operators-ml.pb.h generating /builddir/build/BUILD/pytorch-v2.0.1/build/third_party/onnx/onnx/onnx_operators_pb.py [ 35%] Running C++ protocol buffer compiler on /builddir/build/BUILD/pytorch-v2.0.1/build/third_party/onnx/onnx/onnx-operators_onnx_torch-ml.proto [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-1x4-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-1x4-acc2.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-1x4-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1416:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1416 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5s2p2__sse_1x4_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 35%] Built target gen_onnx_operators_proto [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-1x4-acc3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-1x4-acc3.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-1x4-acc3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1417:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1417 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5s2p2__sse_1x4_acc3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-1x4-acc4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-1x4-acc4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-1x4-acc4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1418:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1418 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5s2p2__sse_1x4_acc4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 35%] Building CXX object caffe2/proto/CMakeFiles/Caffe2_PROTO.dir/caffe2.pb.cc.o [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-1x4-acc5.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-1x4-acc5.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-1x4-acc5.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1419:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1419 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5s2p2__sse_1x4_acc5) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-1x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-1x4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-1x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1415:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1415 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5s2p2__sse_1x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-2x4-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-2x4-acc2.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-2x4-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1421:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1421 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5s2p2__sse_2x4_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-2x4-acc3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-2x4-acc3.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-2x4-acc3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1422:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1422 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5s2p2__sse_2x4_acc3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-2x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-2x4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-2x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1420:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1420 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5s2p2__sse_2x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_prod_f32.o [ 35%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_sse41_convolution.cpp.o [ 35%] Building CXX object third_party/onnx/CMakeFiles/onnx_proto.dir/onnx/onnx_onnx_torch-ml.pb.cc.o [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-3x4-acc2.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/primitive.hpp:29, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_brgemm_conv_bwd.hpp:23, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_brgemm_conv_bwd.cpp:24: In static member function ‘static dnnl::impl::status_t dnnl::impl::primitive_desc_t::create(dnnl::impl::primitive_desc_t**, const dnnl::impl::op_desc_t*, const dnnl::impl::primitive_attr_t*, dnnl::impl::engine_t*, const dnnl::impl::primitive_desc_t*) [with pd_t = dnnl::impl::cpu::x64::brgemm_1x1_convolution_fwd_t::pd_t]’, inlined from ‘dnnl::impl::status_t dnnl::impl::cpu::x64::brgemm_convolution_bwd_t::pd_t::init(dnnl::impl::engine_t*) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_brgemm_conv_bwd.cpp:116:65: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/primitive_desc.hpp:325:20: warning: array subscript ‘const dnnl::impl::op_desc_t[0]’ is partly outside array bounds of ‘dnnl::impl::convolution_desc_t [1]’ {aka ‘dnnl_convolution_desc_t [1]’} [-Warray-bounds] 325 | if (adesc->kind != pd_t::base_pkind && !valid_logsoftmax | ~~~~~~~^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_brgemm_conv_bwd.cpp: In member function ‘dnnl::impl::status_t dnnl::impl::cpu::x64::brgemm_convolution_bwd_t::pd_t::init(dnnl::impl::engine_t*) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_brgemm_conv_bwd.cpp:108:24: note: object ‘fwd_conv_d’ of size 5976 108 | convolution_desc_t fwd_conv_d = convolution_desc_t(); | ^~~~~~~~~~ In static member function ‘static dnnl::impl::status_t dnnl::impl::primitive_desc_t::create(dnnl::impl::primitive_desc_t**, const dnnl::impl::op_desc_t*, const dnnl::impl::primitive_attr_t*, dnnl::impl::engine_t*, const dnnl::impl::primitive_desc_t*) [with pd_t = dnnl::impl::cpu::x64::brgemm_convolution_fwd_t::pd_t]’, inlined from ‘dnnl::impl::status_t dnnl::impl::cpu::x64::brgemm_convolution_bwd_t::pd_t::init(dnnl::impl::engine_t*) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_brgemm_conv_bwd.cpp:124:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/primitive_desc.hpp:325:20: warning: array subscript ‘const dnnl::impl::op_desc_t[0]’ is partly outside array bounds of ‘dnnl::impl::convolution_desc_t [1]’ {aka ‘dnnl_convolution_desc_t [1]’} [-Warray-bounds] 325 | if (adesc->kind != pd_t::base_pkind && !valid_logsoftmax | ~~~~~~~^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_brgemm_conv_bwd.cpp: In member function ‘dnnl::impl::status_t dnnl::impl::cpu::x64::brgemm_convolution_bwd_t::pd_t::init(dnnl::impl::engine_t*) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_brgemm_conv_bwd.cpp:108:24: note: object ‘fwd_conv_d’ of size 5976 108 | convolution_desc_t fwd_conv_d = convolution_desc_t(); | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-3x4-acc2.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-3x4-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1424:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1424 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5s2p2__sse_3x4_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In static member function ‘static dnnl::impl::status_t dnnl::impl::primitive_desc_t::create(dnnl::impl::primitive_desc_t**, const dnnl::impl::op_desc_t*, const dnnl::impl::primitive_attr_t*, dnnl::impl::engine_t*, const dnnl::impl::primitive_desc_t*) [with pd_t = dnnl::impl::cpu::x64::brgemm_1x1_convolution_fwd_t::pd_t]’, inlined from ‘dnnl::impl::status_t dnnl::impl::cpu::x64::brgemm_convolution_bwd_t::pd_t::init(dnnl::impl::engine_t*) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core_bf16]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_brgemm_conv_bwd.cpp:116:65: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/primitive_desc.hpp:325:20: warning: array subscript ‘const dnnl::impl::op_desc_t[0]’ is partly outside array bounds of ‘dnnl::impl::convolution_desc_t [1]’ {aka ‘dnnl_convolution_desc_t [1]’} [-Warray-bounds] 325 | if (adesc->kind != pd_t::base_pkind && !valid_logsoftmax | ~~~~~~~^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_brgemm_conv_bwd.cpp: In member function ‘dnnl::impl::status_t dnnl::impl::cpu::x64::brgemm_convolution_bwd_t::pd_t::init(dnnl::impl::engine_t*) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core_bf16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_brgemm_conv_bwd.cpp:108:24: note: object ‘fwd_conv_d’ of size 5976 108 | convolution_desc_t fwd_conv_d = convolution_desc_t(); | ^~~~~~~~~~ In static member function ‘static dnnl::impl::status_t dnnl::impl::primitive_desc_t::create(dnnl::impl::primitive_desc_t**, const dnnl::impl::op_desc_t*, const dnnl::impl::primitive_attr_t*, dnnl::impl::engine_t*, const dnnl::impl::primitive_desc_t*) [with pd_t = dnnl::impl::cpu::x64::brgemm_convolution_fwd_t::pd_t]’, inlined from ‘dnnl::impl::status_t dnnl::impl::cpu::x64::brgemm_convolution_bwd_t::pd_t::init(dnnl::impl::engine_t*) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core_bf16]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_brgemm_conv_bwd.cpp:124:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/primitive_desc.hpp:325:20: warning: array subscript ‘const dnnl::impl::op_desc_t[0]’ is partly outside array bounds of ‘dnnl::impl::convolution_desc_t [1]’ {aka ‘dnnl_convolution_desc_t [1]’} [-Warray-bounds] 325 | if (adesc->kind != pd_t::base_pkind && !valid_logsoftmax | ~~~~~~~^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_brgemm_conv_bwd.cpp: In member function ‘dnnl::impl::status_t dnnl::impl::cpu::x64::brgemm_convolution_bwd_t::pd_t::init(dnnl::impl::engine_t*) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core_bf16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_brgemm_conv_bwd.cpp:108:24: note: object ‘fwd_conv_d’ of size 5976 108 | convolution_desc_t fwd_conv_d = convolution_desc_t(); | ^~~~~~~~~~ [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-3x4.c.o In static member function ‘static dnnl::impl::status_t dnnl::impl::primitive_desc_t::create(dnnl::impl::primitive_desc_t**, const dnnl::impl::op_desc_t*, const dnnl::impl::primitive_attr_t*, dnnl::impl::engine_t*, const dnnl::impl::primitive_desc_t*) [with pd_t = dnnl::impl::cpu::x64::brgemm_1x1_convolution_fwd_t::pd_t]’, inlined from ‘dnnl::impl::status_t dnnl::impl::cpu::x64::brgemm_convolution_bwd_t::pd_t::init(dnnl::impl::engine_t*) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core_bf16_amx_bf16]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_brgemm_conv_bwd.cpp:116:65: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/primitive_desc.hpp:325:20: warning: array subscript ‘const dnnl::impl::op_desc_t[0]’ is partly outside array bounds of ‘dnnl::impl::convolution_desc_t [1]’ {aka ‘dnnl_convolution_desc_t [1]’} [-Warray-bounds] 325 | if (adesc->kind != pd_t::base_pkind && !valid_logsoftmax | ~~~~~~~^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_brgemm_conv_bwd.cpp: In member function ‘dnnl::impl::status_t dnnl::impl::cpu::x64::brgemm_convolution_bwd_t::pd_t::init(dnnl::impl::engine_t*) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core_bf16_amx_bf16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_brgemm_conv_bwd.cpp:108:24: note: object ‘fwd_conv_d’ of size 5976 108 | convolution_desc_t fwd_conv_d = convolution_desc_t(); | ^~~~~~~~~~ In static member function ‘static dnnl::impl::status_t dnnl::impl::primitive_desc_t::create(dnnl::impl::primitive_desc_t**, const dnnl::impl::op_desc_t*, const dnnl::impl::primitive_attr_t*, dnnl::impl::engine_t*, const dnnl::impl::primitive_desc_t*) [with pd_t = dnnl::impl::cpu::x64::brgemm_convolution_fwd_t::pd_t]’, inlined from ‘dnnl::impl::status_t dnnl::impl::cpu::x64::brgemm_convolution_bwd_t::pd_t::init(dnnl::impl::engine_t*) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core_bf16_amx_bf16]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_brgemm_conv_bwd.cpp:124:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/primitive_desc.hpp:325:20: warning: array subscript ‘const dnnl::impl::op_desc_t[0]’ is partly outside array bounds of ‘dnnl::impl::convolution_desc_t [1]’ {aka ‘dnnl_convolution_desc_t [1]’} [-Warray-bounds] 325 | if (adesc->kind != pd_t::base_pkind && !valid_logsoftmax | ~~~~~~~^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_brgemm_conv_bwd.cpp: In member function ‘dnnl::impl::status_t dnnl::impl::cpu::x64::brgemm_convolution_bwd_t::pd_t::init(dnnl::impl::engine_t*) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core_bf16_amx_bf16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_brgemm_conv_bwd.cpp:108:24: note: object ‘fwd_conv_d’ of size 5976 108 | convolution_desc_t fwd_conv_d = convolution_desc_t(); | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-3x4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-3x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1423:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1423 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5s2p2__sse_3x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 35%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_transpose_utils.cpp.o [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p4c-minmax-sse-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p4c-minmax-sse-acc2.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p4c-minmax-sse-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:162:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 162 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_3p4c__sse_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 35%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_batch_normalization.cpp.o [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p4c-minmax-sse.c.o [ 35%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_batch_normalization_s8.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p4c-minmax-sse.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p4c-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:161:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 161 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_3p4c__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p8c-minmax-sse-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p8c-minmax-sse-acc2.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p8c-minmax-sse-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:172:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 172 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_3p8c__sse_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p8c-minmax-sse.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:27, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.hpp:30, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:29: In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate()::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:607:21, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:664:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:602:6: note: at offset 8 into object ‘vreg_wei’ of size 8 602 | void jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate() { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:602:6: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:19, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate()::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:607:21, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:664:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:602:6: note: at offset 16 into object ‘vreg_wei’ of size 8 602 | void jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate() { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:602:6: note: at offset 16 into object ‘vreg_src’ of size 8 In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate()::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:607:21, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:664:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:602:6: note: at offset 8 into object ‘vreg_wei’ of size 8 602 | void jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate() { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:602:6: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate()::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:607:21, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:664:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:602:6: note: at offset 8 into object ‘vreg_wei’ of size 8 602 | void jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate() { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:602:6: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate()::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:607:21, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:664:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:602:6: note: at offset 16 into object ‘vreg_wei’ of size 8 602 | void jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate() { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:602:6: note: at offset 16 into object ‘vreg_src’ of size 8 In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘bool Xbyak::Address::is32bit() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1275:51, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2253:33, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate()::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:607:21, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:664:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:602:6: note: at offset 8 into object ‘vreg_wei’ of size 8 602 | void jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate() { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:602:6: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘bool Xbyak::Address::isBroadcast() const’, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2260:25, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate()::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:607:21, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:664:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1284:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1284 | bool isBroadcast() const { return broadcast_; } | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:602:6: note: object ‘vreg_wei’ of size 8 602 | void jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate() { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:602:6: note: object ‘vreg_src’ of size 8 /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p8c-minmax-sse.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p8c-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:171:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 171 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_3p8c__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p4c-minmax-sse-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p4c-minmax-sse-acc2.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p4c-minmax-sse-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:191:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 191 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_4p4c__sse_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p4c-minmax-sse.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p4c-minmax-sse.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p4c-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:190:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 190 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_4p4c__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p8c-minmax-sse-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p8c-minmax-sse-acc2.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p8c-minmax-sse-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:201:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 201 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_4p8c__sse_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 35%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_binary.cpp.o [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p8c-minmax-sse.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p8c-minmax-sse.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p8c-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:200:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 200 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_4p8c__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-5f5m5l8c4s4r-minmax-sse-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-5f5m5l8c4s4r-minmax-sse-acc2.c:32:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-5f5m5l8c4s4r-minmax-sse-acc2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:76:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 76 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:79:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION’ 79 | DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_5f5m5l8c4s4r__sse_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-5f5m5l8c4s4r-minmax-sse.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-5f5m5l8c4s4r-minmax-sse.c:32:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-5f5m5l8c4s4r-minmax-sse.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:76:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 76 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:78:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION’ 78 | DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_5f5m5l8c4s4r__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-7f6m6l8c4s4r-minmax-sse-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-7f6m6l8c4s4r-minmax-sse-acc2.c:32:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-7f6m6l8c4s4r-minmax-sse-acc2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:76:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 76 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:81:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION’ 81 | DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_7f6m6l8c4s4r__sse_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 35%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_binary_kernel.cpp.o [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-7f6m6l8c4s4r-minmax-sse.c.o [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p4c-minmax-sse-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-7f6m6l8c4s4r-minmax-sse.c:32:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-7f6m6l8c4s4r-minmax-sse.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:76:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 76 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:80:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION’ 80 | DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_7f6m6l8c4s4r__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p4c-minmax-sse-acc2.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p4c-minmax-sse-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:222:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 222 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_9p4c__sse_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p4c-minmax-sse.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p4c-minmax-sse.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p4c-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:221:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 221 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_9p4c__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p8c-minmax-sse-acc2.c.o [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p8c-minmax-sse.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p8c-minmax-sse-acc2.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p8c-minmax-sse-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:232:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 232 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_9p8c__sse_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 35%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_deconv_zp_pad_str_kernel.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p8c-minmax-sse.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p8c-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:231:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 231 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_9p8c__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 35%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_dw_conv_kernel_f32.cpp.o [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p4c-minmax-sse-acc2.c.o [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p4c-minmax-sse.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p4c-minmax-sse-acc2.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p4c-minmax-sse-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:251:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 251 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_25p4c__sse_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p4c-minmax-sse.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p4c-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:250:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 250 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_25p4c__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p8c-minmax-sse-acc2.c.o [ 35%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_dw_conv_kernel_utils.cpp.o [ 35%] Building CXX object third_party/onnx/CMakeFiles/onnx_proto.dir/onnx/onnx-operators_onnx_torch-ml.pb.cc.o In file included from /usr/include/c++/12/algorithm:61, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/type_helpers.hpp:20, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/memory_desc_wrapper.hpp:26, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/memory_storage.hpp:21, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/memory_tracking.hpp:24, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_amx_conv_kernel.cpp:18: In function ‘void std::__final_insertion_sort(_RandomAccessIterator, _RandomAccessIterator, _Compare) [with _RandomAccessIterator = int*; _Compare = __gnu_cxx::__ops::_Iter_comp_iter >]’, inlined from ‘void std::__sort(_RandomAccessIterator, _RandomAccessIterator, _Compare) [with _RandomAccessIterator = int*; _Compare = __gnu_cxx::__ops::_Iter_comp_iter >]’ at /usr/include/c++/12/bits/stl_algo.h:1940:31, inlined from ‘void std::sort(_RAIter, _RAIter, _Compare) [with _RAIter = int*; _Compare = dnnl::impl::memory_desc_strides_check(const memory_desc_t&, const dnnl_dim_t*)::]’ at /usr/include/c++/12/bits/stl_algo.h:4853:18, inlined from ‘bool dnnl::impl::memory_desc_strides_check(const memory_desc_t&, const dnnl_dim_t*)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/type_helpers.hpp:715:14, inlined from ‘dnnl::impl::status_t dnnl::impl::memory_desc_init_by_tag(memory_desc_t&, format_tag_t, const dnnl_dim_t*)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/type_helpers.hpp:752:35: /usr/include/c++/12/bits/stl_algo.h:1849:32: warning: array subscript 16 is outside array bounds of ‘int [12]’ [-Warray-bounds] 1849 | std::__insertion_sort(__first, __first + int(_S_threshold), __comp); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/type_helpers.hpp: In function ‘dnnl::impl::status_t dnnl::impl::memory_desc_init_by_tag(memory_desc_t&, format_tag_t, const dnnl_dim_t*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/type_helpers.hpp:685:9: note: at offset 64 into object ‘perm’ of size 48 685 | int perm[DNNL_MAX_NDIMS] = {0}; | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p8c-minmax-sse-acc2.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p8c-minmax-sse-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:261:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 261 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_25p8c__sse_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 35%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_dw_convolution.cpp.o [ 35%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_eltwise.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:27, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.hpp:22, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:27: In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘dnnl::impl::cpu::x64::jit_avx512_core_f32_wino_conv_4x3_bwd_weights_kernel::gemm_loop_generate(bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2207:48, inlined from ‘void dnnl::impl::cpu::x64::jit_avx512_core_f32_wino_conv_4x3_bwd_weights_kernel::gemm_loop_generate(bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2261:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx512_core_f32_wino_conv_4x3_bwd_weights_kernel::gemm_loop_generate(bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2208:65: note: at offset 8 into object ‘’ of size 8 2208 | zmm_srcA(), zmm_srcB(N_bcast)); | ~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2208:53: note: at offset 8 into object ‘’ of size 8 2208 | zmm_srcA(), zmm_srcB(N_bcast)); | ~~~~~~~~^~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:19, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘dnnl::impl::cpu::x64::jit_avx512_core_f32_wino_conv_4x3_bwd_weights_kernel::gemm_loop_generate(bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2207:48, inlined from ‘void dnnl::impl::cpu::x64::jit_avx512_core_f32_wino_conv_4x3_bwd_weights_kernel::gemm_loop_generate(bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2261:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx512_core_f32_wino_conv_4x3_bwd_weights_kernel::gemm_loop_generate(bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2208:65: note: at offset 16 into object ‘’ of size 8 2208 | zmm_srcA(), zmm_srcB(N_bcast)); | ~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2208:53: note: at offset 16 into object ‘’ of size 8 2208 | zmm_srcA(), zmm_srcB(N_bcast)); | ~~~~~~~~^~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘dnnl::impl::cpu::x64::jit_avx512_core_f32_wino_conv_4x3_bwd_weights_kernel::gemm_loop_generate(bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2207:48, inlined from ‘void dnnl::impl::cpu::x64::jit_avx512_core_f32_wino_conv_4x3_bwd_weights_kernel::gemm_loop_generate(bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2261:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx512_core_f32_wino_conv_4x3_bwd_weights_kernel::gemm_loop_generate(bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2208:65: note: at offset 8 into object ‘’ of size 8 2208 | zmm_srcA(), zmm_srcB(N_bcast)); | ~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2208:53: note: at offset 8 into object ‘’ of size 8 2208 | zmm_srcA(), zmm_srcB(N_bcast)); | ~~~~~~~~^~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘dnnl::impl::cpu::x64::jit_avx512_core_f32_wino_conv_4x3_bwd_weights_kernel::gemm_loop_generate(bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2207:48, inlined from ‘void dnnl::impl::cpu::x64::jit_avx512_core_f32_wino_conv_4x3_bwd_weights_kernel::gemm_loop_generate(bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2261:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx512_core_f32_wino_conv_4x3_bwd_weights_kernel::gemm_loop_generate(bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2208:65: note: at offset 8 into object ‘’ of size 8 2208 | zmm_srcA(), zmm_srcB(N_bcast)); | ~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2208:53: note: at offset 8 into object ‘’ of size 8 2208 | zmm_srcA(), zmm_srcB(N_bcast)); | ~~~~~~~~^~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘dnnl::impl::cpu::x64::jit_avx512_core_f32_wino_conv_4x3_bwd_weights_kernel::gemm_loop_generate(bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2207:48, inlined from ‘void dnnl::impl::cpu::x64::jit_avx512_core_f32_wino_conv_4x3_bwd_weights_kernel::gemm_loop_generate(bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2261:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx512_core_f32_wino_conv_4x3_bwd_weights_kernel::gemm_loop_generate(bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2208:65: note: at offset 16 into object ‘’ of size 8 2208 | zmm_srcA(), zmm_srcB(N_bcast)); | ~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2208:53: note: at offset 16 into object ‘’ of size 8 2208 | zmm_srcA(), zmm_srcB(N_bcast)); | ~~~~~~~~^~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘bool Xbyak::Address::is32bit() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1275:51, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2253:33, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘dnnl::impl::cpu::x64::jit_avx512_core_f32_wino_conv_4x3_bwd_weights_kernel::gemm_loop_generate(bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2207:48, inlined from ‘void dnnl::impl::cpu::x64::jit_avx512_core_f32_wino_conv_4x3_bwd_weights_kernel::gemm_loop_generate(bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2261:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx512_core_f32_wino_conv_4x3_bwd_weights_kernel::gemm_loop_generate(bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2208:65: note: at offset 8 into object ‘’ of size 8 2208 | zmm_srcA(), zmm_srcB(N_bcast)); | ~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2208:53: note: at offset 8 into object ‘’ of size 8 2208 | zmm_srcA(), zmm_srcB(N_bcast)); | ~~~~~~~~^~ In member function ‘bool Xbyak::Address::isBroadcast() const’, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2260:25, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘dnnl::impl::cpu::x64::jit_avx512_core_f32_wino_conv_4x3_bwd_weights_kernel::gemm_loop_generate(bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2207:48, inlined from ‘void dnnl::impl::cpu::x64::jit_avx512_core_f32_wino_conv_4x3_bwd_weights_kernel::gemm_loop_generate(bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2261:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1284:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1284 | bool isBroadcast() const { return broadcast_; } | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx512_core_f32_wino_conv_4x3_bwd_weights_kernel::gemm_loop_generate(bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2208:65: note: object ‘’ of size 8 2208 | zmm_srcA(), zmm_srcB(N_bcast)); | ~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2208:53: note: object ‘’ of size 8 2208 | zmm_srcA(), zmm_srcB(N_bcast)); | ~~~~~~~~^~ [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p8c-minmax-sse.c.o [ 35%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_i8i8_pooling.cpp.o [ 35%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_eltwise_int.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p8c-minmax-sse.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p8c-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:260:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 260 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_25p8c__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gavgpool-cw/f32-gavgpool-cw-sse-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gavgpool-cw/f32-gavgpool-cw-sse-x4.c:19:41: warning: argument 5 of type ‘const union xnn_f32_gavgpool_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 19 | const union xnn_f32_gavgpool_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gavgpool-cw/f32-gavgpool-cw-sse-x4.c:10: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:314:44: note: previously declared as ‘const union xnn_f32_gavgpool_params *’ 314 | const union xnn_f32_gavgpool_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:318:1: note: in expansion of macro ‘DECLARE_F32_GAVGPOOL_CW_UKERNEL_FUNCTION’ 318 | DECLARE_F32_GAVGPOOL_CW_UKERNEL_FUNCTION(xnn_f32_gavgpool_cw_ukernel__sse_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 35%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_layer_normalization.cpp.o [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gavgpool/f32-gavgpool-7p7x-minmax-sse-c4.c.o [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gavgpool/f32-gavgpool-7x-minmax-sse-c4.c.o [ 36%] Built target ATEN_CPU_FILES_GEN_TARGET [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-1x8-minmax-sse-dup.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gavgpool/f32-gavgpool-7p7x-minmax-sse-c4.c:22:44: warning: argument 8 of type ‘const union xnn_f32_scaleminmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gavgpool/f32-gavgpool-7p7x-minmax-sse-c4.c:10: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:31:47: note: previously declared as ‘const union xnn_f32_scaleminmax_params *’ 31 | const union xnn_f32_scaleminmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:35:1: note: in expansion of macro ‘DECLARE_F32_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 35 | DECLARE_F32_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_f32_gavgpool_minmax_ukernel_7p7x__sse_c4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gavgpool/f32-gavgpool-7x-minmax-sse-c4.c:20:44: warning: argument 7 of type ‘const union xnn_f32_scaleminmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_f32_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gavgpool/f32-gavgpool-7x-minmax-sse-c4.c:10: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:49:47: note: previously declared as ‘const union xnn_f32_scaleminmax_params *’ 49 | const union xnn_f32_scaleminmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:53:1: note: in expansion of macro ‘DECLARE_F32_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 53 | DECLARE_F32_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_gavgpool_minmax_ukernel_7x__sse_c4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-1x8-minmax-sse-dup.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-1x8-minmax-sse-dup.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:234:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 234 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_1x8__sse_dup) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-1x8-minmax-sse-load1.c.o [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-1x8s4-minmax-sse.c.o [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-3x8-minmax-sse-dup.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-1x8-minmax-sse-load1.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-1x8-minmax-sse-load1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:229:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 229 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_1x8__sse_load1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-1x8s4-minmax-sse.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-1x8s4-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:239:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 239 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_1x8s4__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-3x8-minmax-sse-dup.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-3x8-minmax-sse-dup.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:235:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 235 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_3x8__sse_dup) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_pool_kernel.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:27, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/injectors/injector_utils.hpp:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/injectors/jit_uni_postops_injector.hpp:27, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.hpp:32, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp:22: In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::jit_avx512_core_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp:528:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx512_core_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp:502:17: note: object ‘zp_src_comp_pad_vmm’ of size 8 502 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘bool Xbyak::RegExp::isVsib(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:930:68, inlined from ‘bool Xbyak::Address::isVsib() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1291:40, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2004:33, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::jit_avx512_core_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp:528:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx512_core_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp:502:17: note: at offset 16 into object ‘zp_src_comp_pad_vmm’ of size 8 502 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::jit_avx512_core_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp:528:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx512_core_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp:502:17: note: object ‘zp_src_comp_pad_vmm’ of size 8 502 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::jit_avx512_core_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp:528:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx512_core_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp:502:17: note: at offset 8 into object ‘zp_src_comp_pad_vmm’ of size 8 502 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::jit_avx512_core_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp:528:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx512_core_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp:502:17: note: at offset 8 into object ‘zp_src_comp_pad_vmm’ of size 8 502 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::jit_avx512_core_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp:528:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx512_core_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp:502:17: note: at offset 8 into object ‘zp_src_comp_pad_vmm’ of size 8 502 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::jit_avx512_core_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp:528:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx512_core_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp:502:17: note: at offset 8 into object ‘zp_src_comp_pad_vmm’ of size 8 502 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::jit_avx512_core_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp:528:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx512_core_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp:502:17: note: at offset 8 into object ‘zp_src_comp_pad_vmm’ of size 8 502 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::jit_avx512_core_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp:528:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx512_core_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp:502:17: note: at offset 16 into object ‘zp_src_comp_pad_vmm’ of size 8 502 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ [ 36%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_pooling.cpp.o [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-3x8-minmax-sse-load1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-3x8-minmax-sse-load1.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-3x8-minmax-sse-load1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:230:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 230 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_3x8__sse_load1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:27, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/injectors/injector_utils.hpp:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:28: In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:19, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 16 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 16 into object ‘vreg_src’ of size 8 In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 16 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 16 into object ‘vreg_src’ of size 8 In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘bool Xbyak::Address::is32bit() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1275:51, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2253:33, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘bool Xbyak::Address::isBroadcast() const’, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2260:25, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1284:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1284 | bool isBroadcast() const { return broadcast_; } | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: object ‘vreg_src’ of size 8 In member function ‘Xbyak::Address::Mode Xbyak::Address::getMode() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2005:19, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1274:39: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1274 | Mode getMode() const { return mode_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: object ‘vreg_src’ of size 8 In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: object ‘vreg_src’ of size 8 In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 16 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 16 into object ‘vreg_src’ of size 8 [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-3x8s4-minmax-sse.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-3x8s4-minmax-sse.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-3x8s4-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:240:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 240 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_3x8s4__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-4x2c4-minmax-sse.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x2c4-minmax-sse.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x2c4-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:244:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 244 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_4x2c4__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_reduction.cpp.o [ 36%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_reduction_kernel.cpp.o [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-4x8-minmax-sse-dup.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x8-minmax-sse-dup.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x8-minmax-sse-dup.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:236:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 236 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_4x8__sse_dup) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-4x8-minmax-sse-load1.c.o In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:19, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 16 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 16 into object ‘vreg_src’ of size 8 In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 16 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 16 into object ‘vreg_src’ of size 8 In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘bool Xbyak::Address::is32bit() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1275:51, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2253:33, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘bool Xbyak::Address::isBroadcast() const’, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2260:25, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1284:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1284 | bool isBroadcast() const { return broadcast_; } | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: object ‘vreg_src’ of size 8 In member function ‘Xbyak::Address::Mode Xbyak::Address::getMode() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2005:19, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1274:39: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1274 | Mode getMode() const { return mode_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: object ‘vreg_src’ of size 8 In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: object ‘vreg_src’ of size 8 In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 16 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 16 into object ‘vreg_src’ of size 8 /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x8-minmax-sse-load1.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x8-minmax-sse-load1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:231:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 231 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_4x8__sse_load1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-4x8s4-minmax-sse.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x8s4-minmax-sse.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x8s4-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:241:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 241 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_4x8s4__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-5x8-minmax-sse-dup.c.o In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:19, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 16 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 16 into object ‘vreg_src’ of size 8 In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 16 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 16 into object ‘vreg_src’ of size 8 In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘bool Xbyak::Address::is32bit() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1275:51, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2253:33, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘bool Xbyak::Address::isBroadcast() const’, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2260:25, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1284:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1284 | bool isBroadcast() const { return broadcast_; } | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: object ‘vreg_src’ of size 8 In member function ‘Xbyak::Address::Mode Xbyak::Address::getMode() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2005:19, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1274:39: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1274 | Mode getMode() const { return mode_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: object ‘vreg_src’ of size 8 In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: object ‘vreg_src’ of size 8 In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 16 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 16 into object ‘vreg_src’ of size 8 /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-5x8-minmax-sse-dup.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-5x8-minmax-sse-dup.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:237:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 237 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_5x8__sse_dup) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-5x8-minmax-sse-load1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-5x8-minmax-sse-load1.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-5x8-minmax-sse-load1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:232:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 232 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_5x8__sse_load1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Built target ATEN_CUDA_FILES_GEN_TARGET [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-5x8s4-minmax-sse.c.o [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-1x8-minmax-sse-dup.c.o [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-1x8-minmax-sse-load1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-5x8s4-minmax-sse.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-5x8s4-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:242:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 242 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_5x8s4__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-1x8-minmax-sse-dup.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-1x8-minmax-sse-dup.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:542:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 542 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_1x8__sse_dup) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-1x8-minmax-sse-load1.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-1x8-minmax-sse-load1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:537:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 537 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_1x8__sse_load1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-1x8s4-minmax-sse.c.o [ 36%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_reorder.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-1x8s4-minmax-sse.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-1x8s4-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:552:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 552 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_1x8s4__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-3x8-minmax-sse-dup.c.o [ 36%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_reorder_utils.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-3x8-minmax-sse-dup.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-3x8-minmax-sse-dup.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:543:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 543 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_3x8__sse_dup) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_min_i8.o [ 36%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_resampling.cpp.o [ 36%] Building CXX object third_party/onnx/CMakeFiles/onnx_proto.dir/onnx/onnx-data_onnx_torch.pb.cc.o [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-3x8-minmax-sse-load1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-3x8-minmax-sse-load1.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-3x8-minmax-sse-load1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:538:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 538 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_3x8__sse_load1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-3x8s4-minmax-sse.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-3x8s4-minmax-sse.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-3x8s4-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:553:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 553 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_3x8s4__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-4x8-minmax-sse-dup.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-4x8-minmax-sse-dup.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-4x8-minmax-sse-dup.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:544:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 544 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_4x8__sse_dup) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-4x8-minmax-sse-load1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-4x8-minmax-sse-load1.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-4x8-minmax-sse-load1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:539:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 539 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_4x8__sse_load1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-4x8s4-minmax-sse.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-4x8s4-minmax-sse.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-4x8s4-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:554:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 554 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_4x8s4__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/12/algorithm:61, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/type_helpers.hpp:20, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_common_conv_kernel.cpp:19: In function ‘void std::__final_insertion_sort(_RandomAccessIterator, _RandomAccessIterator, _Compare) [with _RandomAccessIterator = int*; _Compare = __gnu_cxx::__ops::_Iter_comp_iter >]’, inlined from ‘void std::__sort(_RandomAccessIterator, _RandomAccessIterator, _Compare) [with _RandomAccessIterator = int*; _Compare = __gnu_cxx::__ops::_Iter_comp_iter >]’ at /usr/include/c++/12/bits/stl_algo.h:1940:31, inlined from ‘void std::sort(_RAIter, _RAIter, _Compare) [with _RAIter = int*; _Compare = dnnl::impl::memory_desc_strides_check(const memory_desc_t&, const dnnl_dim_t*)::]’ at /usr/include/c++/12/bits/stl_algo.h:4853:18, inlined from ‘bool dnnl::impl::memory_desc_strides_check(const memory_desc_t&, const dnnl_dim_t*)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/type_helpers.hpp:715:14, inlined from ‘dnnl::impl::status_t dnnl::impl::memory_desc_init_by_tag(memory_desc_t&, format_tag_t, const dnnl_dim_t*)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/type_helpers.hpp:752:35: /usr/include/c++/12/bits/stl_algo.h:1849:32: warning: array subscript 16 is outside array bounds of ‘int [12]’ [-Warray-bounds] 1849 | std::__insertion_sort(__first, __first + int(_S_threshold), __comp); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/type_helpers.hpp: In function ‘dnnl::impl::status_t dnnl::impl::memory_desc_init_by_tag(memory_desc_t&, format_tag_t, const dnnl_dim_t*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/type_helpers.hpp:685:9: note: at offset 64 into object ‘perm’ of size 48 685 | int perm[DNNL_MAX_NDIMS] = {0}; | ^~~~ [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-5x8-minmax-sse-dup.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-5x8-minmax-sse-dup.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-5x8-minmax-sse-dup.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:545:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 545 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_5x8__sse_dup) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-5x8-minmax-sse-load1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-5x8-minmax-sse-load1.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-5x8-minmax-sse-load1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:540:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 540 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_5x8__sse_load1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-5x8s4-minmax-sse.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-5x8s4-minmax-sse.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-5x8s4-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:555:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 555 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_5x8s4__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-ibilinear-chw/gen/f32-ibilinear-chw-sse-p4.c.o [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-ibilinear-chw/gen/f32-ibilinear-chw-sse-p8.c.o [ 36%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_resampling_kernel.cpp.o [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-ibilinear/gen/f32-ibilinear-sse-c4.c.o [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-ibilinear/gen/f32-ibilinear-sse-c8.c.o [ 36%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_softmax.cpp.o [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-1x8-minmax-sse-dup.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-1x8-minmax-sse-dup.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-1x8-minmax-sse-dup.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:148:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 148 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_1x8__sse_dup) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:27, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.hpp:23, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:21: In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vcvtne2ps2bf16(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1954:84, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1038:43: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1023:34: note: at offset 8 into object ‘zmm_src_0’ of size 8 1023 | auto zmm_src_0 = get_zmm_src_0(ic); | ^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1024:34: note: at offset 8 into object ‘zmm_src_1’ of size 8 1024 | auto zmm_src_1 = get_zmm_src_1(ic); | ^~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:19, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vcvtne2ps2bf16(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1954:84, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1038:43: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1023:34: note: at offset 16 into object ‘zmm_src_0’ of size 8 1023 | auto zmm_src_0 = get_zmm_src_0(ic); | ^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1024:34: note: at offset 16 into object ‘zmm_src_1’ of size 8 1024 | auto zmm_src_1 = get_zmm_src_1(ic); | ^~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vcvtne2ps2bf16(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1954:84, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1038:43: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1023:34: note: at offset 8 into object ‘zmm_src_0’ of size 8 1023 | auto zmm_src_0 = get_zmm_src_0(ic); | ^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1024:34: note: at offset 8 into object ‘zmm_src_1’ of size 8 1024 | auto zmm_src_1 = get_zmm_src_1(ic); | ^~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vcvtne2ps2bf16(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1954:84, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1038:43: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1023:34: note: at offset 8 into object ‘zmm_src_0’ of size 8 1023 | auto zmm_src_0 = get_zmm_src_0(ic); | ^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1024:34: note: at offset 8 into object ‘zmm_src_1’ of size 8 1024 | auto zmm_src_1 = get_zmm_src_1(ic); | ^~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vcvtne2ps2bf16(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1954:84, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1038:43: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1023:34: note: at offset 16 into object ‘zmm_src_0’ of size 8 1023 | auto zmm_src_0 = get_zmm_src_0(ic); | ^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1024:34: note: at offset 16 into object ‘zmm_src_1’ of size 8 1024 | auto zmm_src_1 = get_zmm_src_1(ic); | ^~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘bool Xbyak::Address::is32bit() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1275:51, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2253:33, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vcvtne2ps2bf16(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1954:84, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1038:43: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1023:34: note: at offset 8 into object ‘zmm_src_0’ of size 8 1023 | auto zmm_src_0 = get_zmm_src_0(ic); | ^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1024:34: note: at offset 8 into object ‘zmm_src_1’ of size 8 1024 | auto zmm_src_1 = get_zmm_src_1(ic); | ^~~~~~~~~ In member function ‘bool Xbyak::Address::isBroadcast() const’, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2260:25, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vcvtne2ps2bf16(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1954:84, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1038:43: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1284:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1284 | bool isBroadcast() const { return broadcast_; } | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1023:34: note: object ‘zmm_src_0’ of size 8 1023 | auto zmm_src_0 = get_zmm_src_0(ic); | ^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1024:34: note: object ‘zmm_src_1’ of size 8 1024 | auto zmm_src_1 = get_zmm_src_1(ic); | ^~~~~~~~~ In member function ‘Xbyak::Address::Mode Xbyak::Address::getMode() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2005:19, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vcvtne2ps2bf16(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1954:84, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1038:43: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1274:39: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1274 | Mode getMode() const { return mode_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1023:34: note: object ‘zmm_src_0’ of size 8 1023 | auto zmm_src_0 = get_zmm_src_0(ic); | ^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1024:34: note: object ‘zmm_src_1’ of size 8 1024 | auto zmm_src_1 = get_zmm_src_1(ic); | ^~~~~~~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vcvtne2ps2bf16(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1954:84, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1038:43: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1023:34: note: object ‘zmm_src_0’ of size 8 1023 | auto zmm_src_0 = get_zmm_src_0(ic); | ^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1024:34: note: object ‘zmm_src_1’ of size 8 1024 | auto zmm_src_1 = get_zmm_src_1(ic); | ^~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vcvtne2ps2bf16(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1954:84, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1038:43: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1023:34: note: at offset 8 into object ‘zmm_src_0’ of size 8 1023 | auto zmm_src_0 = get_zmm_src_0(ic); | ^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1024:34: note: at offset 8 into object ‘zmm_src_1’ of size 8 1024 | auto zmm_src_1 = get_zmm_src_1(ic); | ^~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vcvtne2ps2bf16(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1954:84, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1038:43: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1023:34: note: at offset 8 into object ‘zmm_src_0’ of size 8 1023 | auto zmm_src_0 = get_zmm_src_0(ic); | ^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1024:34: note: at offset 8 into object ‘zmm_src_1’ of size 8 1024 | auto zmm_src_1 = get_zmm_src_1(ic); | ^~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vcvtne2ps2bf16(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1954:84, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1038:43: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1023:34: note: at offset 8 into object ‘zmm_src_0’ of size 8 1023 | auto zmm_src_0 = get_zmm_src_0(ic); | ^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1024:34: note: at offset 8 into object ‘zmm_src_1’ of size 8 1024 | auto zmm_src_1 = get_zmm_src_1(ic); | ^~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vcvtne2ps2bf16(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1954:84, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1038:43: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1023:34: note: at offset 8 into object ‘zmm_src_0’ of size 8 1023 | auto zmm_src_0 = get_zmm_src_0(ic); | ^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1024:34: note: at offset 8 into object ‘zmm_src_1’ of size 8 1024 | auto zmm_src_1 = get_zmm_src_1(ic); | ^~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vcvtne2ps2bf16(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1954:84, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1038:43: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1023:34: note: at offset 16 into object ‘zmm_src_0’ of size 8 1023 | auto zmm_src_0 = get_zmm_src_0(ic); | ^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1024:34: note: at offset 16 into object ‘zmm_src_1’ of size 8 1024 | auto zmm_src_1 = get_zmm_src_1(ic); | ^~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpermw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2178:76, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1039:35: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1025:34: note: at offset 8 into object ‘zmm_bf16’ of size 8 1025 | auto zmm_bf16 = get_zmm_bf16(ic); | ^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:965:46: note: at offset 8 into object ‘’ of size 8 965 | const Xbyak::Zmm &zmm_idx = Xbyak::Zmm(31); | ^ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:19, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpermw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2178:76, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1039:35: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1025:34: note: at offset 16 into object ‘zmm_bf16’ of size 8 1025 | auto zmm_bf16 = get_zmm_bf16(ic); | ^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:965:46: note: at offset 16 into object ‘’ of size 8 965 | const Xbyak::Zmm &zmm_idx = Xbyak::Zmm(31); | ^ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpermw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2178:76, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1039:35: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1025:34: note: at offset 8 into object ‘zmm_bf16’ of size 8 1025 | auto zmm_bf16 = get_zmm_bf16(ic); | ^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:965:46: note: at offset 8 into object ‘’ of size 8 965 | const Xbyak::Zmm &zmm_idx = Xbyak::Zmm(31); | ^ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpermw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2178:76, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1039:35: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1025:34: note: at offset 8 into object ‘zmm_bf16’ of size 8 1025 | auto zmm_bf16 = get_zmm_bf16(ic); | ^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:965:46: note: at offset 8 into object ‘’ of size 8 965 | const Xbyak::Zmm &zmm_idx = Xbyak::Zmm(31); | ^ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpermw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2178:76, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1039:35: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1025:34: note: at offset 16 into object ‘zmm_bf16’ of size 8 1025 | auto zmm_bf16 = get_zmm_bf16(ic); | ^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:965:46: note: at offset 16 into object ‘’ of size 8 965 | const Xbyak::Zmm &zmm_idx = Xbyak::Zmm(31); | ^ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘bool Xbyak::Address::is32bit() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1275:51, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2253:33, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpermw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2178:76, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1039:35: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1025:34: note: at offset 8 into object ‘zmm_bf16’ of size 8 1025 | auto zmm_bf16 = get_zmm_bf16(ic); | ^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:965:46: note: at offset 8 into object ‘’ of size 8 965 | const Xbyak::Zmm &zmm_idx = Xbyak::Zmm(31); | ^ In member function ‘bool Xbyak::Address::isBroadcast() const’, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2260:25, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpermw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2178:76, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1039:35: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1284:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1284 | bool isBroadcast() const { return broadcast_; } | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1025:34: note: object ‘zmm_bf16’ of size 8 1025 | auto zmm_bf16 = get_zmm_bf16(ic); | ^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:965:46: note: object ‘’ of size 8 965 | const Xbyak::Zmm &zmm_idx = Xbyak::Zmm(31); | ^ In member function ‘Xbyak::Address::Mode Xbyak::Address::getMode() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2005:19, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpermw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2178:76, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1039:35: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1274:39: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1274 | Mode getMode() const { return mode_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1025:34: note: object ‘zmm_bf16’ of size 8 1025 | auto zmm_bf16 = get_zmm_bf16(ic); | ^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:965:46: note: object ‘’ of size 8 965 | const Xbyak::Zmm &zmm_idx = Xbyak::Zmm(31); | ^ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpermw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2178:76, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1039:35: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1025:34: note: object ‘zmm_bf16’ of size 8 1025 | auto zmm_bf16 = get_zmm_bf16(ic); | ^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:965:46: note: object ‘’ of size 8 965 | const Xbyak::Zmm &zmm_idx = Xbyak::Zmm(31); | ^ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpermw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2178:76, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1039:35: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1025:34: note: at offset 8 into object ‘zmm_bf16’ of size 8 1025 | auto zmm_bf16 = get_zmm_bf16(ic); | ^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:965:46: note: at offset 8 into object ‘’ of size 8 965 | const Xbyak::Zmm &zmm_idx = Xbyak::Zmm(31); | ^ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpermw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2178:76, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1039:35: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1025:34: note: at offset 8 into object ‘zmm_bf16’ of size 8 1025 | auto zmm_bf16 = get_zmm_bf16(ic); | ^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:965:46: note: at offset 8 into object ‘’ of size 8 965 | const Xbyak::Zmm &zmm_idx = Xbyak::Zmm(31); | ^ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpermw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2178:76, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1039:35: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1025:34: note: at offset 8 into object ‘zmm_bf16’ of size 8 1025 | auto zmm_bf16 = get_zmm_bf16(ic); | ^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:965:46: note: at offset 8 into object ‘’ of size 8 965 | const Xbyak::Zmm &zmm_idx = Xbyak::Zmm(31); | ^ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpermw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2178:76, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1039:35: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1025:34: note: at offset 8 into object ‘zmm_bf16’ of size 8 1025 | auto zmm_bf16 = get_zmm_bf16(ic); | ^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:965:46: note: at offset 8 into object ‘’ of size 8 965 | const Xbyak::Zmm &zmm_idx = Xbyak::Zmm(31); | ^ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpermw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2178:76, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1039:35: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1025:34: note: at offset 16 into object ‘zmm_bf16’ of size 8 1025 | auto zmm_bf16 = get_zmm_bf16(ic); | ^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:965:46: note: at offset 16 into object ‘’ of size 8 965 | const Xbyak::Zmm &zmm_idx = Xbyak::Zmm(31); | ^ [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-1x8-minmax-sse-load1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-1x8-minmax-sse-load1.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-1x8-minmax-sse-load1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:143:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 143 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_1x8__sse_load1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-1x8s4-minmax-sse.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-1x8s4-minmax-sse.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-1x8s4-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:153:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 153 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_1x8s4__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-3x8-minmax-sse-dup.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-3x8-minmax-sse-dup.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-3x8-minmax-sse-dup.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:149:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 149 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_3x8__sse_dup) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-3x8-minmax-sse-load1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-3x8-minmax-sse-load1.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-3x8-minmax-sse-load1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:144:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 144 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_3x8__sse_load1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-3x8s4-minmax-sse.c.o [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-4x2c4-minmax-sse.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-3x8s4-minmax-sse.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-3x8s4-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:154:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 154 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_3x8s4__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x2c4-minmax-sse.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x2c4-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:158:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 158 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_4x2c4__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-4x8-minmax-sse-dup.c.o [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-4x8-minmax-sse-load1.c.o [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-4x8s4-minmax-sse.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x8-minmax-sse-load1.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x8-minmax-sse-load1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:145:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 145 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_4x8__sse_load1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x8-minmax-sse-dup.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x8-minmax-sse-dup.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:150:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 150 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_4x8__sse_dup) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-5x8-minmax-sse-dup.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x8s4-minmax-sse.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x8s4-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:155:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 155 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_4x8s4__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-5x8-minmax-sse-load1.c.o [ 36%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_tbb_batch_normalization.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-5x8-minmax-sse-load1.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-5x8-minmax-sse-load1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:146:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 146 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_5x8__sse_load1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-5x8-minmax-sse-dup.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-5x8-minmax-sse-dup.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:151:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 151 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_5x8__sse_dup) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-5x8s4-minmax-sse.c.o [ 36%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_x8s8s32x_1x1_conv_kernel.cpp.o [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-maxpool/f32-maxpool-9p8x-minmax-sse-c4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-5x8s4-minmax-sse.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-5x8s4-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:156:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 156 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_5x8s4__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-maxpool/f32-maxpool-9p8x-minmax-sse-c4.c:22:39: warning: argument 9 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-maxpool/f32-maxpool-9p8x-minmax-sse-c4.c:10: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/maxpool.h:48:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 48 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/maxpool.h:52:1: note: in expansion of macro ‘DECLARE_F32_MAXPOOL_MINMAX_UKERNEL_FUNCTION’ 52 | DECLARE_F32_MAXPOOL_MINMAX_UKERNEL_FUNCTION(xnn_f32_maxpool_minmax_ukernel_9p8x__sse_c4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Built target Caffe2_PROTO [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-pavgpool/f32-pavgpool-9p8x-minmax-sse-c4.c.o [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-pavgpool/f32-pavgpool-9x-minmax-sse-c4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-pavgpool/f32-pavgpool-9p8x-minmax-sse-c4.c:25:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-pavgpool/f32-pavgpool-9p8x-minmax-sse-c4.c:10: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/pavgpool.h:69:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 69 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/pavgpool.h:73:1: note: in expansion of macro ‘DECLARE_F32_PAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 73 | DECLARE_F32_PAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_f32_pavgpool_minmax_ukernel_9p8x__sse_c4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-ppmm/gen/f32-ppmm-4x8-minmax-sse.c.o [ 36%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_x8s8s32x_1x1_convolution.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-pavgpool/f32-pavgpool-9x-minmax-sse-c4.c:24:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-pavgpool/f32-pavgpool-9x-minmax-sse-c4.c:10: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/pavgpool.h:91:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 91 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/pavgpool.h:95:1: note: in expansion of macro ‘DECLARE_F32_PAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 95 | DECLARE_F32_PAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_pavgpool_minmax_ukernel_9x__sse_c4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-ppmm/gen/f32-ppmm-4x8-minmax-sse.c:26:37: warning: argument 9 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-ppmm/gen/f32-ppmm-4x8-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/ppmm.h:29:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 29 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/ppmm.h:37:1: note: in expansion of macro ‘DECLARE_F32_PPMM_MINMAX_UKERNEL_FUNCTION’ 37 | DECLARE_F32_PPMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_ppmm_minmax_ukernel_4x8__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_x8s8s32x_conv_kernel.cpp.o [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-prelu/gen/f32-prelu-sse-2x4.c.o [ 36%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_x8s8s32x_convolution.cpp.o [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-prelu/gen/f32-prelu-sse-2x8.c.o [ 36%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_x8s8s32x_deconvolution.cpp.o [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-rmax/f32-rmax-sse.c.o [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-spmm/gen/f32-spmm-4x1-minmax-sse.c.o [ 36%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/lrn/jit_avx512_common_lrn.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-4x1-minmax-sse.c:26:39: warning: argument 9 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-4x1-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:29:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 29 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:43:1: note: in expansion of macro ‘DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION’ 43 | DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_spmm_minmax_ukernel_4x1__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Linking CXX static library ../../lib/libonnx_proto.a [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-spmm/gen/f32-spmm-8x1-minmax-sse.c.o [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-spmm/gen/f32-spmm-16x1-minmax-sse.c.o [ 36%] Built target onnx_proto [ 36%] Linking CXX static library ../lib/libcaffe2_protos.a [ 36%] Built target caffe2_protos [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-spmm/gen/f32-spmm-32x1-minmax-sse.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-16x1-minmax-sse.c:26:39: warning: argument 9 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-16x1-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:29:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 29 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:89:1: note: in expansion of macro ‘DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION’ 89 | DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_spmm_minmax_ukernel_16x1__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-8x1-minmax-sse.c:26:39: warning: argument 9 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-8x1-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:29:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 29 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:64:1: note: in expansion of macro ‘DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION’ 64 | DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_spmm_minmax_ukernel_8x1__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_min_u32.o [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-minmax-sse-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-minmax-sse-x4.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-minmax-sse-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:338:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 338 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vadd_minmax_ukernel__sse_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-minmax-sse-x8.c.o [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-minmax-sse-x4.c.o [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-minmax-sse-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-minmax-sse-x4.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-minmax-sse-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:540:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 540 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vaddc_minmax_ukernel__sse_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-minmax-sse-x8.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-minmax-sse-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:339:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 339 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vadd_minmax_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-minmax-sse-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-minmax-sse-x8.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-minmax-sse-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:541:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 541 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vaddc_minmax_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-minmax-sse-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-minmax-sse-x4.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-minmax-sse-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:361:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 361 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vdiv_minmax_ukernel__sse_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdivc-minmax-sse-x4.c.o [ 36%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/lrn/jit_avx512_common_lrn_bwd_base.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-minmax-sse-x8.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-minmax-sse-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:362:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 362 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vdiv_minmax_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/lrn/jit_avx512_common_lrn_bwd_blocked.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-minmax-sse-x4.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-minmax-sse-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:563:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 563 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vdivc_minmax_ukernel__sse_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdivc-minmax-sse-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-32x1-minmax-sse.c:26:39: warning: argument 9 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-32x1-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:29:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 29 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:108:1: note: in expansion of macro ‘DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION’ 108 | DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_spmm_minmax_ukernel_32x1__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmax-sse-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmax-sse-x4.c:24:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmax-sse-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:196:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 196 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmax_ukernel__sse_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-minmax-sse-x8.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-minmax-sse-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:564:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 564 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vdivc_minmax_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/lrn/jit_avx512_common_lrn_bwd_nhwc.cpp.o [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmax-sse-x8.c.o [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmaxc-sse-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmax-sse-x8.c:24:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmax-sse-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:197:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 197 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmax_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmaxc-sse-x4.c:24:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmaxc-sse-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:478:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 478 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmaxc_ukernel__sse_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmaxc-sse-x8.c.o [ 36%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/lrn/jit_avx512_common_lrn_fwd_base.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmaxc-sse-x8.c:24:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmaxc-sse-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:479:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 479 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmaxc_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmin-sse-x4.c.o [ 37%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/lrn/jit_avx512_common_lrn_fwd_blocked.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmin-sse-x4.c:24:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmin-sse-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:219:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 219 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmin_ukernel__sse_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmin-sse-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmin-sse-x8.c:24:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmin-sse-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:220:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 220 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmin_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vminc-sse-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vminc-sse-x4.c:24:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vminc-sse-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:501:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 501 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vminc_ukernel__sse_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vminc-sse-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vminc-sse-x8.c:24:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vminc-sse-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:502:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 502 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vminc_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-minmax-sse-x4.c.o [ 37%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/lrn/jit_avx512_common_lrn_fwd_nhwc.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-minmax-sse-x4.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-minmax-sse-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:384:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 384 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmul_minmax_ukernel__sse_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-minmax-sse-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-minmax-sse-x8.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-minmax-sse-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:385:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 385 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmul_minmax_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmulc-minmax-sse-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-minmax-sse-x4.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-minmax-sse-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:609:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 609 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmulc_minmax_ukernel__sse_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/lrn/jit_uni_lrn.cpp.o [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmulc-minmax-sse-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-minmax-sse-x8.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-minmax-sse-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:610:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 610 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmulc_minmax_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-minmax-sse-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-minmax-sse-x4.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-minmax-sse-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:586:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 586 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vrdivc_minmax_ukernel__sse_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-minmax-sse-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-minmax-sse-x8.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-minmax-sse-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:587:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 587 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vrdivc_minmax_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-minmax-sse-x4.c.o [ 37%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/lrn/jit_uni_lrn_kernel.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-minmax-sse-x4.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-minmax-sse-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:655:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 655 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vrsubc_minmax_ukernel__sse_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-minmax-sse-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-minmax-sse-x8.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-minmax-sse-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:656:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 656 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vrsubc_minmax_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiff-sse-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiff-sse-x4.c:24:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiff-sse-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:242:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 242 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsqrdiff_ukernel__sse_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiff-sse-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiff-sse-x8.c:24:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiff-sse-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:243:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 243 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsqrdiff_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiffc-sse-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiffc-sse-x4.c:24:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiffc-sse-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:524:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 524 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsqrdiffc_ukernel__sse_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiffc-sse-x8.c.o [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsub-minmax-sse-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiffc-sse-x8.c:24:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiffc-sse-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:525:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 525 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsqrdiffc_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-minmax-sse-x4.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-minmax-sse-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:407:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 407 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vsub_minmax_ukernel__sse_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsub-minmax-sse-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-minmax-sse-x8.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-minmax-sse-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:408:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 408 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vsub_minmax_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsubc-minmax-sse-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-minmax-sse-x4.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-minmax-sse-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:632:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 632 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vsubc_minmax_ukernel__sse_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsubc-minmax-sse-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-minmax-sse-x8.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-minmax-sse-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:633:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 633 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vsubc_minmax_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vclamp/gen/f32-vclamp-sse-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vclamp/gen/f32-vclamp-sse-x4.c:22:39: warning: argument 4 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vclamp/gen/f32-vclamp-sse-x4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:240:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 240 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:251:1: note: in expansion of macro ‘DECLARE_F32_VCLAMP_UKERNEL_FUNCTION’ 251 | DECLARE_F32_VCLAMP_UKERNEL_FUNCTION(xnn_f32_vclamp_ukernel__sse_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vclamp/gen/f32-vclamp-sse-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vclamp/gen/f32-vclamp-sse-x8.c:22:39: warning: argument 4 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vclamp/gen/f32-vclamp-sse-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:240:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 240 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:252:1: note: in expansion of macro ‘DECLARE_F32_VCLAMP_UKERNEL_FUNCTION’ 252 | DECLARE_F32_VCLAMP_UKERNEL_FUNCTION(xnn_f32_vclamp_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vhswish/gen/f32-vhswish-sse-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vhswish/gen/f32-vhswish-sse-x4.c:22:39: warning: argument 4 of type ‘const union xnn_f32_hswish_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_hswish_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vhswish/gen/f32-vhswish-sse-x4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:498:42: note: previously declared as ‘const union xnn_f32_hswish_params *’ 498 | const union xnn_f32_hswish_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:504:1: note: in expansion of macro ‘DECLARE_F32_VHSWISH_UKERNEL_FUNCTION’ 504 | DECLARE_F32_VHSWISH_UKERNEL_FUNCTION(xnn_f32_vhswish_ukernel__sse_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vhswish/gen/f32-vhswish-sse-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vhswish/gen/f32-vhswish-sse-x8.c:22:39: warning: argument 4 of type ‘const union xnn_f32_hswish_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_hswish_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vhswish/gen/f32-vhswish-sse-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:498:42: note: previously declared as ‘const union xnn_f32_hswish_params *’ 498 | const union xnn_f32_hswish_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:505:1: note: in expansion of macro ‘DECLARE_F32_VHSWISH_UKERNEL_FUNCTION’ 505 | DECLARE_F32_VHSWISH_UKERNEL_FUNCTION(xnn_f32_vhswish_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vlrelu/gen/f32-vlrelu-sse-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vlrelu/gen/f32-vlrelu-sse-x4.c:22:38: warning: argument 4 of type ‘const union xnn_f32_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vlrelu/gen/f32-vlrelu-sse-x4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:548:41: note: previously declared as ‘const union xnn_f32_lrelu_params *’ 548 | const union xnn_f32_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:554:1: note: in expansion of macro ‘DECLARE_F32_VLRELU_UKERNEL_FUNCTION’ 554 | DECLARE_F32_VLRELU_UKERNEL_FUNCTION(xnn_f32_vlrelu_ukernel__sse_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vlrelu/gen/f32-vlrelu-sse-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vlrelu/gen/f32-vlrelu-sse-x8.c:22:38: warning: argument 4 of type ‘const union xnn_f32_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vlrelu/gen/f32-vlrelu-sse-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:548:41: note: previously declared as ‘const union xnn_f32_lrelu_params *’ 548 | const union xnn_f32_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:555:1: note: in expansion of macro ‘DECLARE_F32_VLRELU_UKERNEL_FUNCTION’ 555 | DECLARE_F32_VLRELU_UKERNEL_FUNCTION(xnn_f32_vlrelu_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vmulcaddc/gen/f32-vmulcaddc-c4-minmax-sse-2x.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vmulcaddc/gen/f32-vmulcaddc-c4-minmax-sse-2x.c:26:39: warning: argument 8 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vmulcaddc/gen/f32-vmulcaddc-c4-minmax-sse-2x.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmulcaddc.h:28:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 28 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmulcaddc.h:36:1: note: in expansion of macro ‘DECLARE_F32_VMULCADDC_MINMAX_UKERNEL_FUNCTION’ 36 | DECLARE_F32_VMULCADDC_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmulcaddc_minmax_ukernel_c4__sse_2x) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/matmul/brgemm_matmul.cpp.o [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vmulcaddc/gen/f32-vmulcaddc-c8-minmax-sse-2x.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vmulcaddc/gen/f32-vmulcaddc-c8-minmax-sse-2x.c:26:39: warning: argument 8 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vmulcaddc/gen/f32-vmulcaddc-c8-minmax-sse-2x.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmulcaddc.h:28:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 28 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmulcaddc.h:37:1: note: in expansion of macro ‘DECLARE_F32_VMULCADDC_MINMAX_UKERNEL_FUNCTION’ 37 | DECLARE_F32_VMULCADDC_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmulcaddc_minmax_ukernel_c8__sse_2x) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrelu/gen/f32-vrelu-sse-x4.c.o [ 37%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/matmul/brgemm_matmul_copy_utils.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrelu/gen/f32-vrelu-sse-x4.c:22:37: warning: argument 4 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrelu/gen/f32-vrelu-sse-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:623:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 623 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:635:1: note: in expansion of macro ‘DECLARE_F32_VRELU_UKERNEL_FUNCTION’ 635 | DECLARE_F32_VRELU_UKERNEL_FUNCTION(xnn_f32_vrelu_ukernel__sse_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/12/algorithm:61, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/type_helpers.hpp:20, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_bf16_conv_kernel.cpp:21: In function ‘void std::__final_insertion_sort(_RandomAccessIterator, _RandomAccessIterator, _Compare) [with _RandomAccessIterator = int*; _Compare = __gnu_cxx::__ops::_Iter_comp_iter >]’, inlined from ‘void std::__sort(_RandomAccessIterator, _RandomAccessIterator, _Compare) [with _RandomAccessIterator = int*; _Compare = __gnu_cxx::__ops::_Iter_comp_iter >]’ at /usr/include/c++/12/bits/stl_algo.h:1940:31, inlined from ‘void std::sort(_RAIter, _RAIter, _Compare) [with _RAIter = int*; _Compare = dnnl::impl::memory_desc_strides_check(const memory_desc_t&, const dnnl_dim_t*)::]’ at /usr/include/c++/12/bits/stl_algo.h:4853:18, inlined from ‘bool dnnl::impl::memory_desc_strides_check(const memory_desc_t&, const dnnl_dim_t*)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/type_helpers.hpp:715:14, inlined from ‘dnnl::impl::status_t dnnl::impl::memory_desc_init_by_tag(memory_desc_t&, format_tag_t, const dnnl_dim_t*)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/type_helpers.hpp:752:35: /usr/include/c++/12/bits/stl_algo.h:1849:32: warning: array subscript 16 is outside array bounds of ‘int [12]’ [-Warray-bounds] 1849 | std::__insertion_sort(__first, __first + int(_S_threshold), __comp); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/type_helpers.hpp: In function ‘dnnl::impl::status_t dnnl::impl::memory_desc_init_by_tag(memory_desc_t&, format_tag_t, const dnnl_dim_t*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/type_helpers.hpp:685:9: note: at offset 64 into object ‘perm’ of size 48 685 | int perm[DNNL_MAX_NDIMS] = {0}; | ^~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrelu/gen/f32-vrelu-sse-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrelu/gen/f32-vrelu-sse-x8.c:22:37: warning: argument 4 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrelu/gen/f32-vrelu-sse-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:623:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 623 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:636:1: note: in expansion of macro ‘DECLARE_F32_VRELU_UKERNEL_FUNCTION’ 636 | DECLARE_F32_VRELU_UKERNEL_FUNCTION(xnn_f32_vrelu_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-sse-sqrt-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-sse-sqrt-x4.c:22:37: warning: argument 4 of type ‘const union xnn_f32_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-sse-sqrt-x4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:734:40: note: previously declared as ‘const union xnn_f32_sqrt_params *’ 734 | const union xnn_f32_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:761:1: note: in expansion of macro ‘DECLARE_F32_VSQRT_UKERNEL_FUNCTION’ 761 | DECLARE_F32_VSQRT_UKERNEL_FUNCTION(xnn_f32_vsqrt_ukernel__sse_sqrt_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-sse-sqrt-x8.c.o [ 37%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/matmul/brgemm_matmul_utils.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-sse-sqrt-x8.c:22:37: warning: argument 4 of type ‘const union xnn_f32_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-sse-sqrt-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:734:40: note: previously declared as ‘const union xnn_f32_sqrt_params *’ 734 | const union xnn_f32_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:762:1: note: in expansion of macro ‘DECLARE_F32_VSQRT_UKERNEL_FUNCTION’ 762 | DECLARE_F32_VSQRT_UKERNEL_FUNCTION(xnn_f32_vsqrt_ukernel__sse_sqrt_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vabs-sse-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vabs-sse-x4.c:23:36: warning: argument 4 of type ‘const union xnn_f32_abs_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_abs_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vabs-sse-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:213:39: note: previously declared as ‘const union xnn_f32_abs_params *’ 213 | const union xnn_f32_abs_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:218:1: note: in expansion of macro ‘DECLARE_F32_VABS_UKERNEL_FUNCTION’ 218 | DECLARE_F32_VABS_UKERNEL_FUNCTION(xnn_f32_vabs_ukernel__sse_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vabs-sse-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vabs-sse-x8.c:23:36: warning: argument 4 of type ‘const union xnn_f32_abs_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_abs_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vabs-sse-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:213:39: note: previously declared as ‘const union xnn_f32_abs_params *’ 213 | const union xnn_f32_abs_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:219:1: note: in expansion of macro ‘DECLARE_F32_VABS_UKERNEL_FUNCTION’ 219 | DECLARE_F32_VABS_UKERNEL_FUNCTION(xnn_f32_vabs_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vneg-sse-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vneg-sse-x4.c:23:36: warning: argument 4 of type ‘const union xnn_f32_neg_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_neg_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vneg-sse-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:595:39: note: previously declared as ‘const union xnn_f32_neg_params *’ 595 | const union xnn_f32_neg_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:601:1: note: in expansion of macro ‘DECLARE_F32_VNEG_UKERNEL_FUNCTION’ 601 | DECLARE_F32_VNEG_UKERNEL_FUNCTION(xnn_f32_vneg_ukernel__sse_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vneg-sse-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vneg-sse-x8.c:23:36: warning: argument 4 of type ‘const union xnn_f32_neg_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_neg_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vneg-sse-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:595:39: note: previously declared as ‘const union xnn_f32_neg_params *’ 595 | const union xnn_f32_neg_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:602:1: note: in expansion of macro ‘DECLARE_F32_VNEG_UKERNEL_FUNCTION’ 602 | DECLARE_F32_VNEG_UKERNEL_FUNCTION(xnn_f32_vneg_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/prelu/jit_prelu_backward.cpp.o [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vsqr-sse-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vsqr-sse-x4.c:23:40: warning: argument 4 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vsqr-sse-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1102:43: note: previously declared as ‘const union xnn_f32_default_params *’ 1102 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1107:1: note: in expansion of macro ‘DECLARE_F32_VSQR_UKERNEL_FUNCTION’ 1107 | DECLARE_F32_VSQR_UKERNEL_FUNCTION(xnn_f32_vsqr_ukernel__sse_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vsqr-sse-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vsqr-sse-x8.c:23:40: warning: argument 4 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vsqr-sse-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1102:43: note: previously declared as ‘const union xnn_f32_default_params *’ 1102 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1108:1: note: in expansion of macro ‘DECLARE_F32_VSQR_UKERNEL_FUNCTION’ 1108 | DECLARE_F32_VSQR_UKERNEL_FUNCTION(xnn_f32_vsqr_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/roundd-sse-addsub.c.o [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/roundne-sse-addsub.c.o [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/roundu-sse-addsub.c.o [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/roundz-sse-addsub.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/injectors/jit_uni_binary_injector.hpp:33, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.hpp:23, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:23: In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:778:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:760:25: note: object ‘vmm_ker’ of size 8 760 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘bool Xbyak::RegExp::isVsib(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:930:68, inlined from ‘bool Xbyak::Address::isVsib() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1291:40, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2004:33, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:778:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:760:25: note: at offset 16 into object ‘vmm_ker’ of size 8 760 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:778:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:760:25: note: object ‘vmm_ker’ of size 8 760 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:778:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:760:25: note: at offset 8 into object ‘vmm_ker’ of size 8 760 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:778:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:760:25: note: object ‘vmm_ker’ of size 8 760 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:778:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:760:25: note: at offset 8 into object ‘vmm_ker’ of size 8 760 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:778:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:760:25: note: at offset 8 into object ‘vmm_ker’ of size 8 760 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:778:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:760:25: note: at offset 8 into object ‘vmm_ker’ of size 8 760 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:778:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:760:25: note: at offset 8 into object ‘vmm_ker’ of size 8 760 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:778:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:760:25: note: at offset 8 into object ‘vmm_ker’ of size 8 760 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:778:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:760:25: note: at offset 16 into object ‘vmm_ker’ of size 8 760 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sqrt-f32-sse-hh1mac.c.o [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sqrt-f32-sse-nr1mac.c.o In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:778:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:760:25: note: object ‘vmm_ker’ of size 8 760 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘bool Xbyak::RegExp::isVsib(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:930:68, inlined from ‘bool Xbyak::Address::isVsib() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1291:40, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2004:33, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:778:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:760:25: note: at offset 16 into object ‘vmm_ker’ of size 8 760 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:778:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:760:25: note: object ‘vmm_ker’ of size 8 760 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:778:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:760:25: note: at offset 8 into object ‘vmm_ker’ of size 8 760 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:778:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:760:25: note: object ‘vmm_ker’ of size 8 760 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:778:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:760:25: note: at offset 8 into object ‘vmm_ker’ of size 8 760 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:778:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:760:25: note: at offset 8 into object ‘vmm_ker’ of size 8 760 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:778:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:760:25: note: at offset 8 into object ‘vmm_ker’ of size 8 760 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:778:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:760:25: note: at offset 8 into object ‘vmm_ker’ of size 8 760 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:778:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:760:25: note: at offset 8 into object ‘vmm_ker’ of size 8 760 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:778:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:760:25: note: at offset 16 into object ‘vmm_ker’ of size 8 760 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sqrt-f32-sse-nr2mac.c.o [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-packx/x32-packx-x4-sse.c.o [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-transposec/x32-transposec-4x4-sse.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:27, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/injectors/injector_utils.hpp:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/injectors/jit_uni_postops_injector.hpp:27, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.hpp:26, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:19: In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::insertps(const Xbyak::Xmm&, const Xbyak::Operand&, uint8_t)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:381:70, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Ymm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:204:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Ymm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:196:15: note: object ‘xmm_acc’ of size 8 196 | const Xmm xmm_acc(acc.getIdx()); | ^~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::insertps(const Xbyak::Xmm&, const Xbyak::Operand&, uint8_t)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:381:70, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core_fp16; Vmm = Xbyak::Zmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:204:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core_fp16; Vmm = Xbyak::Zmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:196:15: note: object ‘xmm_acc’ of size 8 196 | const Xmm xmm_acc(acc.getIdx()); | ^~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x32-transposec/x32-transposec-4x4-sse.c:21:42: warning: argument 7 of type ‘const union xnn_x32_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_x32_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x32-transposec/x32-transposec-4x4-sse.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:81:45: note: previously declared as ‘const union xnn_x32_transpose_params *’ 81 | const union xnn_x32_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:128:1: note: in expansion of macro ‘DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION’ 128 | DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x32_transposec_ukernel__4x4_sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::insertps(const Xbyak::Xmm&, const Xbyak::Operand&, uint8_t)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:381:70, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx; Vmm = Xbyak::Ymm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:204:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx; Vmm = Xbyak::Ymm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:196:15: note: object ‘xmm_acc’ of size 8 196 | const Xmm xmm_acc(acc.getIdx()); | ^~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::insertps(const Xbyak::Xmm&, const Xbyak::Operand&, uint8_t)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:381:70, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core; Vmm = Xbyak::Zmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:204:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core; Vmm = Xbyak::Zmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:196:15: note: object ‘xmm_acc’ of size 8 196 | const Xmm xmm_acc(acc.getIdx()); | ^~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::insertps(const Xbyak::Xmm&, const Xbyak::Operand&, uint8_t)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:381:70, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:204:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:196:15: note: object ‘xmm_acc’ of size 8 196 | const Xmm xmm_acc(acc.getIdx()); | ^~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int16-x8.c.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_min_i64.o In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::insertps(const Xbyak::Xmm&, const Xbyak::Operand&, uint8_t)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:381:70, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:204:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:196:15: note: object ‘xmm_acc’ of size 8 196 | const Xmm xmm_acc(acc.getIdx()); | ^~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int16-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int16-x8.c:22:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int16-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:39:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 39 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__sse2_int16_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::insertps(const Xbyak::Xmm&, const Xbyak::Operand&, uint8_t)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:381:70, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core_bf16; Vmm = Xbyak::Zmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:204:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core_bf16; Vmm = Xbyak::Zmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:196:15: note: object ‘xmm_acc’ of size 8 196 | const Xmm xmm_acc(acc.getIdx()); | ^~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int16-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int16-x16.c:22:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int16-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:40:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 40 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__sse2_int16_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::insertps(const Xbyak::Xmm&, const Xbyak::Operand&, uint8_t)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:381:70, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:204:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:196:15: note: object ‘xmm_acc’ of size 8 196 | const Xmm xmm_acc(acc.getIdx()); | ^~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int16-x24.c:22:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int16-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:41:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 41 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__sse2_int16_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::insertps(const Xbyak::Xmm&, const Xbyak::Operand&, uint8_t)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:381:70, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:204:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:196:15: note: object ‘xmm_acc’ of size 8 196 | const Xmm xmm_acc(acc.getIdx()); | ^~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::insertps(const Xbyak::Xmm&, const Xbyak::Operand&, uint8_t)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:381:70, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core; Vmm = Xbyak::Zmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:204:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core; Vmm = Xbyak::Zmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:196:15: note: object ‘xmm_acc’ of size 8 196 | const Xmm xmm_acc(acc.getIdx()); | ^~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int16-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int16-x32.c:22:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int16-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:42:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 42 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__sse2_int16_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::insertps(const Xbyak::Xmm&, const Xbyak::Operand&, uint8_t)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:381:70, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx; Vmm = Xbyak::Ymm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:204:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx; Vmm = Xbyak::Ymm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:196:15: note: object ‘xmm_acc’ of size 8 196 | const Xmm xmm_acc(acc.getIdx()); | ^~~~~~~ [ 37%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/prelu/jit_prelu_base_kernel.cpp.o In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::insertps(const Xbyak::Xmm&, const Xbyak::Operand&, uint8_t)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:381:70, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:204:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:196:15: note: object ‘xmm_acc’ of size 8 196 | const Xmm xmm_acc(acc.getIdx()); | ^~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int32-x8.c.o In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::insertps(const Xbyak::Xmm&, const Xbyak::Operand&, uint8_t)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:381:70, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core_bf16; Vmm = Xbyak::Zmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:204:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core_bf16; Vmm = Xbyak::Zmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:196:15: note: object ‘xmm_acc’ of size 8 196 | const Xmm xmm_acc(acc.getIdx()); | ^~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int32-x8.c:22:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int32-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:44:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 44 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__sse2_int32_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::insertps(const Xbyak::Xmm&, const Xbyak::Operand&, uint8_t)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:381:70, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:204:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:196:15: note: object ‘xmm_acc’ of size 8 196 | const Xmm xmm_acc(acc.getIdx()); | ^~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int32-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int32-x16.c:22:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int32-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:45:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 45 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__sse2_int32_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::insertps(const Xbyak::Xmm&, const Xbyak::Operand&, uint8_t)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:381:70, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Ymm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:204:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Ymm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:196:15: note: object ‘xmm_acc’ of size 8 196 | const Xmm xmm_acc(acc.getIdx()); | ^~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int32-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int32-x24.c:22:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int32-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:46:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 46 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__sse2_int32_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::insertps(const Xbyak::Xmm&, const Xbyak::Operand&, uint8_t)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:381:70, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core_fp16; Vmm = Xbyak::Zmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:204:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core_fp16; Vmm = Xbyak::Zmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:196:15: note: object ‘xmm_acc’ of size 8 196 | const Xmm xmm_acc(acc.getIdx()); | ^~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int32-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int32-x32.c:22:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int32-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:47:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 47 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__sse2_int32_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vunary/gen/f16-vabs-sse2-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vunary/gen/f16-vabs-sse2-x8.c:24:36: warning: argument 4 of type ‘const union xnn_f16_abs_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_abs_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vunary/gen/f16-vabs-sse2-x8.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:24:39: note: previously declared as ‘const union xnn_f16_abs_params *’ 24 | const union xnn_f16_abs_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:29:1: note: in expansion of macro ‘DECLARE_F16_VABS_UKERNEL_FUNCTION’ 29 | DECLARE_F16_VABS_UKERNEL_FUNCTION(xnn_f16_vabs_ukernel__sse2_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vunary/gen/f16-vabs-sse2-x16.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:27, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_eltwise_int.cpp:22: In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::cvtps2dq(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:196:57, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vcvtps2dq(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1481:21, inlined from ‘void dnnl::impl::cpu::x64::{anonymous}::jit_uni_subkernel_int_t::process_linear(const Vmm&, const Vmm&) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_eltwise_int.cpp:272:18, inlined from ‘void dnnl::impl::cpu::x64::{anonymous}::jit_uni_subkernel_int_t::compute_step(bool, size_t, size_t, dnnl::impl::alg_kind_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_eltwise_int.cpp:243:35, inlined from ‘void dnnl::impl::cpu::x64::{anonymous}::jit_uni_subkernel_int_t::generate() [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_eltwise_int.cpp:115:25: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘dnnl::impl::cpu::x64::{anonymous}::jit_uni_subkernel_int_t::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vunary/gen/f16-vabs-sse2-x16.c:24:36: warning: argument 4 of type ‘const union xnn_f16_abs_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_abs_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vunary/gen/f16-vabs-sse2-x16.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:24:39: note: previously declared as ‘const union xnn_f16_abs_params *’ 24 | const union xnn_f16_abs_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:30:1: note: in expansion of macro ‘DECLARE_F16_VABS_UKERNEL_FUNCTION’ 30 | DECLARE_F16_VABS_UKERNEL_FUNCTION(xnn_f16_vabs_ukernel__sse2_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_eltwise_int.cpp: In member function ‘void dnnl::impl::cpu::x64::{anonymous}::jit_uni_subkernel_int_t::generate() [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_eltwise_int.cpp:243:43: note: object ‘’ of size 8 243 | process_linear(vreg_to(i), vreg_from(i)); | ~~~~~~~^~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::blendvps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:76:57, inlined from ‘void dnnl::impl::cpu::x64::{anonymous}::jit_uni_subkernel_int_t::process_relu(const Vmm&, const Vmm&) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_eltwise_int.cpp:292:13, inlined from ‘void dnnl::impl::cpu::x64::{anonymous}::jit_uni_subkernel_int_t::compute_step(bool, size_t, size_t, dnnl::impl::alg_kind_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_eltwise_int.cpp:247:33, inlined from ‘void dnnl::impl::cpu::x64::{anonymous}::jit_uni_subkernel_int_t::generate() [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_eltwise_int.cpp:115:25: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘dnnl::impl::cpu::x64::{anonymous}::jit_uni_subkernel_int_t::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_eltwise_int.cpp: In member function ‘void dnnl::impl::cpu::x64::{anonymous}::jit_uni_subkernel_int_t::generate() [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_eltwise_int.cpp:247:55: note: object ‘’ of size 8 247 | process_relu(vreg_to(i), vreg_from(i)); | ~~~~~~~~~^~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::cvtps2dq(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:196:57, inlined from ‘void dnnl::impl::cpu::x64::{anonymous}::jit_uni_subkernel_int_t::process_relu(const Vmm&, const Vmm&) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_eltwise_int.cpp:293:13, inlined from ‘void dnnl::impl::cpu::x64::{anonymous}::jit_uni_subkernel_int_t::compute_step(bool, size_t, size_t, dnnl::impl::alg_kind_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_eltwise_int.cpp:247:33, inlined from ‘void dnnl::impl::cpu::x64::{anonymous}::jit_uni_subkernel_int_t::generate() [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_eltwise_int.cpp:115:25: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘dnnl::impl::cpu::x64::{anonymous}::jit_uni_subkernel_int_t::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_eltwise_int.cpp: In member function ‘void dnnl::impl::cpu::x64::{anonymous}::jit_uni_subkernel_int_t::generate() [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_eltwise_int.cpp:247:41: note: object ‘’ of size 8 247 | process_relu(vreg_to(i), vreg_from(i)); | ~~~~~~~^~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vunary/gen/f16-vneg-sse2-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vunary/gen/f16-vneg-sse2-x8.c:24:36: warning: argument 4 of type ‘const union xnn_f16_neg_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_neg_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vunary/gen/f16-vneg-sse2-x8.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:80:39: note: previously declared as ‘const union xnn_f16_neg_params *’ 80 | const union xnn_f16_neg_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:86:1: note: in expansion of macro ‘DECLARE_F16_VNEG_UKERNEL_FUNCTION’ 86 | DECLARE_F16_VNEG_UKERNEL_FUNCTION(xnn_f16_vneg_ukernel__sse2_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vunary/gen/f16-vneg-sse2-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vunary/gen/f16-vneg-sse2-x16.c:24:36: warning: argument 4 of type ‘const union xnn_f16_neg_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_neg_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vunary/gen/f16-vneg-sse2-x16.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:80:39: note: previously declared as ‘const union xnn_f16_neg_params *’ 80 | const union xnn_f16_neg_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:87:1: note: in expansion of macro ‘DECLARE_F16_VNEG_UKERNEL_FUNCTION’ 87 | DECLARE_F16_VNEG_UKERNEL_FUNCTION(xnn_f16_vneg_ukernel__sse2_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-argmaxpool/f32-argmaxpool-4x-sse2-c4.c.o [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-argmaxpool/f32-argmaxpool-9p8x-sse2-c4.c.o [ 37%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/prelu/jit_prelu_forward.cpp.o [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-argmaxpool/f32-argmaxpool-9x-sse2-c4.c.o [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse2-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse2-x8.c:23:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse2-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:116:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 116 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__sse2_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse2-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse2-x16.c:23:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse2-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:117:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 117 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__sse2_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse2-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse2-x24.c:23:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse2-x24.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:118:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 118 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__sse2_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse2-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse2-x32.c:23:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse2-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:119:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 119 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__sse2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-1x8-minmax-sse2-dup.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-1x8-minmax-sse2-dup.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-1x8-minmax-sse2-dup.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:246:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 246 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_1x8__sse2_dup) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-3x8-minmax-sse2-dup.c.o In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:233:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:210:25: note: object ‘vmm_ker’ of size 8 210 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘bool Xbyak::RegExp::isVsib(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:930:68, inlined from ‘bool Xbyak::Address::isVsib() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1291:40, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2004:33, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:233:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:210:25: note: at offset 16 into object ‘vmm_ker’ of size 8 210 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:233:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:210:25: note: object ‘vmm_ker’ of size 8 210 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:233:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:210:25: note: at offset 8 into object ‘vmm_ker’ of size 8 210 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:233:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:210:25: note: at offset 8 into object ‘vmm_ker’ of size 8 210 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:233:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:210:25: note: at offset 8 into object ‘vmm_ker’ of size 8 210 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:233:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:210:25: note: at offset 8 into object ‘vmm_ker’ of size 8 210 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:233:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:210:25: note: at offset 8 into object ‘vmm_ker’ of size 8 210 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:233:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:210:25: note: at offset 16 into object ‘vmm_ker’ of size 8 210 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1002:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:233:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:219:29: note: object ‘vmm_src’ of size 8 219 | Vmm vmm_src = jcp.is_resrc_depthwise ? get_src_reg(ii) | ^~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘bool Xbyak::RegExp::isVsib(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:930:68, inlined from ‘bool Xbyak::Address::isVsib() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1291:40, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2004:33, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1002:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:233:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:219:29: note: at offset 16 into object ‘vmm_src’ of size 8 219 | Vmm vmm_src = jcp.is_resrc_depthwise ? get_src_reg(ii) | ^~~~~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1002:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:233:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:219:29: note: object ‘vmm_src’ of size 8 219 | Vmm vmm_src = jcp.is_resrc_depthwise ? get_src_reg(ii) | ^~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1002:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:233:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:219:29: note: at offset 8 into object ‘vmm_src’ of size 8 219 | Vmm vmm_src = jcp.is_resrc_depthwise ? get_src_reg(ii) | ^~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1002:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:233:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:219:29: note: at offset 8 into object ‘vmm_src’ of size 8 219 | Vmm vmm_src = jcp.is_resrc_depthwise ? get_src_reg(ii) | ^~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1002:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:233:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:219:29: note: at offset 8 into object ‘vmm_src’ of size 8 219 | Vmm vmm_src = jcp.is_resrc_depthwise ? get_src_reg(ii) | ^~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1002:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:233:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:219:29: note: at offset 8 into object ‘vmm_src’ of size 8 219 | Vmm vmm_src = jcp.is_resrc_depthwise ? get_src_reg(ii) | ^~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1002:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:233:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:219:29: note: at offset 8 into object ‘vmm_src’ of size 8 219 | Vmm vmm_src = jcp.is_resrc_depthwise ? get_src_reg(ii) | ^~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1002:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:233:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:219:29: note: at offset 16 into object ‘vmm_src’ of size 8 219 | Vmm vmm_src = jcp.is_resrc_depthwise ? get_src_reg(ii) | ^~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-4x8-minmax-sse2-dup.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-3x8-minmax-sse2-dup.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-3x8-minmax-sse2-dup.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:247:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 247 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_3x8__sse2_dup) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x8-minmax-sse2-dup.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x8-minmax-sse2-dup.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:248:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 248 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_4x8__sse2_dup) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-5x8-minmax-sse2-dup.c.o [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-1x8-minmax-sse2-dup.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-5x8-minmax-sse2-dup.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-5x8-minmax-sse2-dup.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:249:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 249 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_5x8__sse2_dup) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-1x8-minmax-sse2-dup.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-1x8-minmax-sse2-dup.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:547:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 547 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_1x8__sse2_dup) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-3x8-minmax-sse2-dup.c.o [ 38%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/prelu/jit_prelu_reduction_kernel.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-3x8-minmax-sse2-dup.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-3x8-minmax-sse2-dup.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:548:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 548 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_3x8__sse2_dup) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-4x8-minmax-sse2-dup.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-4x8-minmax-sse2-dup.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-4x8-minmax-sse2-dup.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:549:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 549 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_4x8__sse2_dup) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/prelu/jit_prelu_utils.cpp.o [ 38%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/prelu/jit_uni_prelu_backward_kernel.cpp.o [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-5x8-minmax-sse2-dup.c.o [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-1x8-minmax-sse2-dup.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-5x8-minmax-sse2-dup.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-5x8-minmax-sse2-dup.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:550:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 550 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_5x8__sse2_dup) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/prelu/jit_uni_prelu_forward_kernel.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-1x8-minmax-sse2-dup.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-1x8-minmax-sse2-dup.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:160:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 160 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_1x8__sse2_dup) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_bf16cvt.hpp:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_resampling_kernel.cpp:21: In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::xorps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1402:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vxorps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1292:18, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_resampling_kernel_t::preserve_zero_padding(int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_resampling_kernel.cpp:315:23: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_resampling_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_resampling_kernel_t::preserve_zero_padding(int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_resampling_kernel.cpp:312:19: note: object ‘vmm_zeros’ of size 8 312 | const Vmm vmm_zeros(vmm_tmp_.getIdx()); | ^~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-3x8-minmax-sse2-dup.c.o In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::xorps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1402:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vxorps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1292:18, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_resampling_kernel_t::preserve_zero_padding(int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_resampling_kernel.cpp:315:23: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_resampling_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_resampling_kernel_t::preserve_zero_padding(int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_resampling_kernel.cpp:312:19: note: object ‘vmm_zeros’ of size 8 312 | const Vmm vmm_zeros(vmm_tmp_.getIdx()); | ^~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-4x8-minmax-sse2-dup.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-3x8-minmax-sse2-dup.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-3x8-minmax-sse2-dup.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:161:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 161 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_3x8__sse2_dup) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x8-minmax-sse2-dup.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x8-minmax-sse2-dup.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:162:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 162 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_4x8__sse2_dup) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/rnn/brgemm_cell_common_bwd.cpp.o [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-5x8-minmax-sse2-dup.c.o [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-prelu/gen/f32-prelu-sse2-2x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-5x8-minmax-sse2-dup.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-5x8-minmax-sse2-dup.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:163:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 163 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_5x8__sse2_dup) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/rnn/brgemm_cell_common_fwd.cpp.o [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-prelu/gen/f32-prelu-sse2-2x8.c.o [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse2-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse2-x8.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse2-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:175:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 175 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__sse2_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse2-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse2-x16.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse2-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:176:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 176 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__sse2_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse2-x24.c.o [ 38%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/rnn/brgemm_cell_common_reorders.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse2-x24.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse2-x24.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:177:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 177 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__sse2_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/rnn/brgemm_cell_common_utils.cpp.o [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse2-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse2-x32.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse2-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:178:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 178 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__sse2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-sse2-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-sse2-x8.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-sse2-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:248:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 248 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__sse2_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-sse2-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-sse2-x16.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-sse2-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:249:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 249 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__sse2_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-sse2-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-sse2-x24.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-sse2-x24.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:250:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 250 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__sse2_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-sse2-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-sse2-x32.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-sse2-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:251:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 251 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__sse2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/12/algorithm:61, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/type_helpers.hpp:20, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/memory_desc_wrapper.hpp:26, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/memory.hpp:26, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:18: In function ‘void std::__final_insertion_sort(_RandomAccessIterator, _RandomAccessIterator, _Compare) [with _RandomAccessIterator = int*; _Compare = __gnu_cxx::__ops::_Iter_comp_iter >]’, inlined from ‘void std::__sort(_RandomAccessIterator, _RandomAccessIterator, _Compare) [with _RandomAccessIterator = int*; _Compare = __gnu_cxx::__ops::_Iter_comp_iter >]’ at /usr/include/c++/12/bits/stl_algo.h:1940:31, inlined from ‘void std::sort(_RAIter, _RAIter, _Compare) [with _RAIter = int*; _Compare = dnnl::impl::memory_desc_strides_check(const memory_desc_t&, const dnnl_dim_t*)::]’ at /usr/include/c++/12/bits/stl_algo.h:4853:18, inlined from ‘bool dnnl::impl::memory_desc_strides_check(const memory_desc_t&, const dnnl_dim_t*)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/type_helpers.hpp:715:14, inlined from ‘dnnl::impl::status_t dnnl::impl::memory_desc_init_by_tag(memory_desc_t&, format_tag_t, const dnnl_dim_t*)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/type_helpers.hpp:752:35: /usr/include/c++/12/bits/stl_algo.h:1849:32: warning: array subscript 16 is outside array bounds of ‘int [12]’ [-Warray-bounds] 1849 | std::__insertion_sort(__first, __first + int(_S_threshold), __comp); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/type_helpers.hpp: In function ‘dnnl::impl::status_t dnnl::impl::memory_desc_init_by_tag(memory_desc_t&, format_tag_t, const dnnl_dim_t*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/type_helpers.hpp:685:9: note: at offset 64 into object ‘perm’ of size 48 685 | int perm[DNNL_MAX_NDIMS] = {0}; | ^~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x4.c:24:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:133:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 133 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__sse2_rr2_p5_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/rnn/jit_brgemm_transpose_single_row.cpp.o [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x8-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x8-acc2.c:24:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x8-acc2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:135:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 135 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__sse2_rr2_p5_x8_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x8.c:24:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:134:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 134 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__sse2_rr2_p5_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x12-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x12-acc2.c:24:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x12-acc2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:137:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 137 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__sse2_rr2_p5_x12_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x12-acc3.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_bf16cvt.hpp:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reorder.cpp:34: In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opIncDec(const Xbyak::Operand&, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2145:10, inlined from ‘void Xbyak::CodeGenerator::opIncDec(const Xbyak::Operand&, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2132:7, inlined from ‘void Xbyak::CodeGenerator::dec(const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:213:39, inlined from ‘void dnnl::impl::cpu::x64::tr::jit_uni_reorder_kernel_f32_t::loop_end(Xbyak::Label&, Xbyak::Reg64, int, int, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reorder.cpp:1232:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Reg64 [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reorder.cpp: In member function ‘void dnnl::impl::cpu::x64::tr::jit_uni_reorder_kernel_f32_t::loop_end(Xbyak::Label&, Xbyak::Reg64, int, int, int, int, int, int)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reorder.cpp:1224:41: note: object ‘reg_cnt’ of size 8 1224 | void loop_end(Label &l, const Reg64 reg_cnt, int len, int i_step, | ~~~~~~~~~~~~^~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x12-acc3.c:24:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x12-acc3.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:138:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 138 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__sse2_rr2_p5_x12_acc3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x12.c.o [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x16-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x12.c:24:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x12.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:136:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 136 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__sse2_rr2_p5_x12) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x16-acc4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x16-acc2.c:24:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x16-acc2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:140:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 140 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__sse2_rr2_p5_x16_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x16-acc4.c:24:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x16-acc4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:141:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 141 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__sse2_rr2_p5_x16_acc4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/rnn/jit_diff_weights_peephole.cpp.o [ 38%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/rnn/jit_gates_reduction.cpp.o [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x16.c:24:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:139:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 139 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__sse2_rr2_p5_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/gemm/gemm.hpp:30, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/rnn/ref_rnn.cpp:37: In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::cvtdq2ps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:190:57, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vcvtdq2ps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1491:21, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::deq_w(dnnl::impl::data_type_t, Vmm, Vmm, Vmm, dnnl::impl::dim_t, int, int, Xbyak::Reg64*) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:600:22: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_gru_cell_postgemm_1_bwd.hpp:20, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/rnn/postgemm_dispatcher.hpp:30, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/rnn/ref_rnn.hpp:34, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/rnn/ref_rnn.cpp:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::deq_w(dnnl::impl::data_type_t, Vmm, Vmm, Vmm, dnnl::impl::dim_t, int, int, Xbyak::Reg64*) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:584:44: note: object ‘s’ of size 8 584 | void deq_w(data_type_t src_data_t, Vmm s, Vmm tmp1, Vmm tmp2, | ~~~~^ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::divps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:216:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vdivps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:614:18, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::deq_w(dnnl::impl::data_type_t, Vmm, Vmm, Vmm, dnnl::impl::dim_t, int, int, Xbyak::Reg64*) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:613:23: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::deq_w(dnnl::impl::data_type_t, Vmm, Vmm, Vmm, dnnl::impl::dim_t, int, int, Xbyak::Reg64*) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:584:51: note: object ‘tmp1’ of size 8 584 | void deq_w(data_type_t src_data_t, Vmm s, Vmm tmp1, Vmm tmp2, | ~~~~^~~~ Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_min_f16.o [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x20-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x20-acc2.c:24:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x20-acc2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:143:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 143 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__sse2_rr2_p5_x20_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x20-acc5.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x20-acc5.c:24:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x20-acc5.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:144:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 144 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__sse2_rr2_p5_x20_acc5) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x20.c.o [ 38%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/rnn/rnn_brgemm_utils.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x20.c:24:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x20.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:142:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 142 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__sse2_rr2_p5_x20) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/shuffle/jit_uni_shuffle.cpp.o [ 39%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/shuffle/jit_uni_shuffle_kernel.cpp.o [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse2-rr2-lut16-p3-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse2-rr2-lut16-p3-x4.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse2-rr2-lut16-p3-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:297:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 297 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__sse2_rr2_lut16_p3_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse2-rr2-lut16-p3-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse2-rr2-lut16-p3-x8.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse2-rr2-lut16-p3-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:298:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 298 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__sse2_rr2_lut16_p3_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse2-rr2-lut16-p3-x12.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_u8_copy_sum_at_kern_autogen.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_u8_copy_sum_at_kern::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_u8_copy_sum_at_kern_autogen.cpp:29:6: note: variable tracking size limit exceeded with ‘-fvar-tracking-assignments’, retrying without 29 | void jit_avx512_core_u8_copy_sum_at_kern::generate() { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse2-rr2-lut16-p3-x12.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse2-rr2-lut16-p3-x12.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:299:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 299 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__sse2_rr2_lut16_p3_x12) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse2-rr2-lut16-p3-x16.c.o [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse2-rr2-lut16-p3-x24.c.o [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse2-rr2-lut16-p3-x20.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse2-rr2-lut16-p3-x16.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse2-rr2-lut16-p3-x16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:300:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 300 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__sse2_rr2_lut16_p3_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse2-rr2-lut16-p3-x20.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse2-rr2-lut16-p3-x20.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:301:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 301 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__sse2_rr2_lut16_p3_x20) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse2-rr2-lut16-p3-x24.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse2-rr2-lut16-p3-x24.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:302:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 302 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__sse2_rr2_lut16_p3_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_bf16cvt.hpp:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:22: In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::movaps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:543:55, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::nchw_tail_sse41(int, Xbyak::Reg64, Xbyak::Xmm, Xbyak::Xmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; dnnl_data_type_t d_type = dnnl_f32]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:1089:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::nchw_tail_sse41(int, Xbyak::Reg64, Xbyak::Xmm, Xbyak::Xmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; dnnl_data_type_t d_type = dnnl_f32]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:1087:63: note: object ‘xtail_hi’ of size 8 1087 | Xbyak::Reg64 reg_dst, Xbyak::Xmm xtail_lo, Xbyak::Xmm xtail_hi) { | ~~~~~~~~~~~^~~~~~~~ [ 39%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/utils/jit_io_helper.cpp.o [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse2-rr2-p6-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse2-rr2-p6-x4.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse2-rr2-p6-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:304:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 304 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__sse2_rr2_p6_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse2-rr2-p6-x8.c.o [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse2-rr2-p6-x12.c.o [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse2-rr2-p6-x16.c.o [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse2-rr2-p6-x20.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse2-rr2-p6-x12.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse2-rr2-p6-x12.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:306:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 306 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__sse2_rr2_p6_x12) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse2-rr2-p6-x16.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse2-rr2-p6-x16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:307:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 307 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__sse2_rr2_p6_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_prelu_utils.hpp:22, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_prelu_utils.cpp:22: In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opRM_RM(const Xbyak::Operand&, const Xbyak::Operand&, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2110:10, inlined from ‘void Xbyak::CodeGenerator::opRM_RM(const Xbyak::Operand&, const Xbyak::Operand&, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2107:7, inlined from ‘void Xbyak::CodeGenerator::xor_(const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1400:60, inlined from ‘void dnnl::impl::cpu::x64::prelu::apply_zero_padding(dnnl::impl::cpu::x64::jit_generator*, size_t, dnnl::impl::data_type_t, size_t, const Xbyak::Reg64&, const Xbyak::Reg64*)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_prelu_utils.cpp:210:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Reg32 [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h: In function ‘void dnnl::impl::cpu::x64::prelu::apply_zero_padding(dnnl::impl::cpu::x64::jit_generator*, size_t, dnnl::impl::data_type_t, size_t, const Xbyak::Reg64&, const Xbyak::Reg64*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2919:36: note: object ‘Xbyak::util::eax’ of size 8 2919 | static const XBYAK_CONSTEXPR Reg32 eax(Operand::EAX), ecx(Operand::ECX), edx(Operand::EDX), ebx(Operand::EBX), esp(Operand::ESP), ebp(Operand::EBP), esi(Operand::ESI), edi(Operand::EDI); | ^~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::mov(const Xbyak::Operand&, uint64_t)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2675:10, inlined from ‘void dnnl::impl::cpu::x64::prelu::apply_zero_padding(dnnl::impl::cpu::x64::jit_generator*, size_t, dnnl::impl::data_type_t, size_t, const Xbyak::Reg64&, const Xbyak::Reg64*)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_prelu_utils.cpp:215:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Reg64 [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h: In function ‘void dnnl::impl::cpu::x64::prelu::apply_zero_padding(dnnl::impl::cpu::x64::jit_generator*, size_t, dnnl::impl::data_type_t, size_t, const Xbyak::Reg64&, const Xbyak::Reg64*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2930:55: note: object ‘Xbyak::util::rcx’ of size 8 2930 | static const XBYAK_CONSTEXPR Reg64 rax(Operand::RAX), rcx(Operand::RCX), rdx(Operand::RDX), rbx(Operand::RBX), rsp(Operand::RSP), rbp(Operand::RBP), rsi(Operand::RSI), rdi(Operand::RDI), r8(Operand::R8), r9(Operand::R9), r10(Operand::R10), r11(Operand::R11), r12(Operand::R12), r13(Operand::R13), r14(Operand::R14), r15(Operand::R15); | ^~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:27, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.hpp:23, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:30: In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:792:36: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:787:31: note: object ‘vsrc’ of size 8 787 | const Vmm vsrc = vtmp; | ^~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘bool Xbyak::RegExp::isVsib(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:930:68, inlined from ‘bool Xbyak::Address::isVsib() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1291:40, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2004:33, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:792:36: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:787:31: note: at offset 16 into object ‘vsrc’ of size 8 787 | const Vmm vsrc = vtmp; | ^~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:792:36: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:787:31: note: object ‘vsrc’ of size 8 787 | const Vmm vsrc = vtmp; | ^~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:792:36: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:787:31: note: at offset 8 into object ‘vsrc’ of size 8 787 | const Vmm vsrc = vtmp; | ^~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:792:36: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:787:31: note: at offset 8 into object ‘vsrc’ of size 8 787 | const Vmm vsrc = vtmp; | ^~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:792:36: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:787:31: note: at offset 8 into object ‘vsrc’ of size 8 787 | const Vmm vsrc = vtmp; | ^~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:792:36: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:787:31: note: at offset 8 into object ‘vsrc’ of size 8 787 | const Vmm vsrc = vtmp; | ^~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:792:36: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:787:31: note: at offset 8 into object ‘vsrc’ of size 8 787 | const Vmm vsrc = vtmp; | ^~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:792:36: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:787:31: note: at offset 16 into object ‘vsrc’ of size 8 787 | const Vmm vsrc = vtmp; | ^~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1002:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:792:36: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:787:31: note: object ‘vsrc’ of size 8 787 | const Vmm vsrc = vtmp; | ^~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘bool Xbyak::RegExp::isVsib(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:930:68, inlined from ‘bool Xbyak::Address::isVsib() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1291:40, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2004:33, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1002:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:792:36: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:787:31: note: at offset 16 into object ‘vsrc’ of size 8 787 | const Vmm vsrc = vtmp; | ^~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1002:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:792:36: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:787:31: note: object ‘vsrc’ of size 8 787 | const Vmm vsrc = vtmp; | ^~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1002:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:792:36: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:787:31: note: at offset 8 into object ‘vsrc’ of size 8 787 | const Vmm vsrc = vtmp; | ^~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1002:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:792:36: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:787:31: note: at offset 8 into object ‘vsrc’ of size 8 787 | const Vmm vsrc = vtmp; | ^~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1002:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:792:36: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:787:31: note: at offset 8 into object ‘vsrc’ of size 8 787 | const Vmm vsrc = vtmp; | ^~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1002:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:792:36: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:787:31: note: at offset 8 into object ‘vsrc’ of size 8 787 | const Vmm vsrc = vtmp; | ^~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1002:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:792:36: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:787:31: note: at offset 8 into object ‘vsrc’ of size 8 787 | const Vmm vsrc = vtmp; | ^~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1002:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:792:36: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:787:31: note: at offset 16 into object ‘vsrc’ of size 8 787 | const Vmm vsrc = vtmp; | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse2-rr2-p6-x8.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse2-rr2-p6-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:305:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 305 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__sse2_rr2_p6_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse2-rr2-p6-x20.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse2-rr2-p6-x20.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:308:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 308 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__sse2_rr2_p6_x20) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse2-rr2-p6-x24.c.o [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vlrelu/gen/f32-vlrelu-sse2-x4.c.o [ 39%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/__/__/caffe2/onnx/torch_ops/defs.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse2-rr2-p6-x24.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse2-rr2-p6-x24.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:309:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 309 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__sse2_rr2_p6_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vlrelu/gen/f32-vlrelu-sse2-x4.c:22:38: warning: argument 4 of type ‘const union xnn_f32_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vlrelu/gen/f32-vlrelu-sse2-x4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:548:41: note: previously declared as ‘const union xnn_f32_lrelu_params *’ 548 | const union xnn_f32_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:557:1: note: in expansion of macro ‘DECLARE_F32_VLRELU_UKERNEL_FUNCTION’ 557 | DECLARE_F32_VLRELU_UKERNEL_FUNCTION(xnn_f32_vlrelu_ukernel__sse2_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/__/__/caffe2/onnx/torch_ops/schema.cc.o [ 40%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/checker.cc.o [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vlrelu/gen/f32-vlrelu-sse2-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vlrelu/gen/f32-vlrelu-sse2-x8.c:22:38: warning: argument 4 of type ‘const union xnn_f32_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vlrelu/gen/f32-vlrelu-sse2-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:548:41: note: previously declared as ‘const union xnn_f32_lrelu_params *’ 548 | const union xnn_f32_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:558:1: note: in expansion of macro ‘DECLARE_F32_VLRELU_UKERNEL_FUNCTION’ 558 | DECLARE_F32_VLRELU_UKERNEL_FUNCTION(xnn_f32_vlrelu_ukernel__sse2_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndd-sse2-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndd-sse2-x4.c:23:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndd-sse2-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:721:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 721 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndd_ukernel__sse2_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndd-sse2-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndd-sse2-x8.c:23:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndd-sse2-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:722:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 722 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndd_ukernel__sse2_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vaddps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:654:18, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:777:31, inlined from ‘void dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:825:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:774:31: note: object ‘vsrc’ of size 8 774 | const Vmm vsrc = vtmp; | ^~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘bool Xbyak::RegExp::isVsib(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:930:68, inlined from ‘bool Xbyak::Address::isVsib() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1291:40, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2004:33, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vaddps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:654:18, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:777:31, inlined from ‘void dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:825:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:774:31: note: at offset 16 into object ‘vsrc’ of size 8 774 | const Vmm vsrc = vtmp; | ^~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vaddps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:654:18, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:777:31, inlined from ‘void dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:825:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:774:31: note: object ‘vsrc’ of size 8 774 | const Vmm vsrc = vtmp; | ^~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vaddps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:654:18, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:777:31, inlined from ‘void dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:825:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:774:31: note: at offset 8 into object ‘vsrc’ of size 8 774 | const Vmm vsrc = vtmp; | ^~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vaddps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:654:18, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:777:31, inlined from ‘void dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:825:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:774:31: note: at offset 8 into object ‘vsrc’ of size 8 774 | const Vmm vsrc = vtmp; | ^~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vaddps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:654:18, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:777:31, inlined from ‘void dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:825:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:774:31: note: at offset 8 into object ‘vsrc’ of size 8 774 | const Vmm vsrc = vtmp; | ^~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vaddps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:654:18, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:777:31, inlined from ‘void dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:825:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:774:31: note: at offset 8 into object ‘vsrc’ of size 8 774 | const Vmm vsrc = vtmp; | ^~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vaddps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:654:18, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:777:31, inlined from ‘void dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:825:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:774:31: note: at offset 8 into object ‘vsrc’ of size 8 774 | const Vmm vsrc = vtmp; | ^~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vaddps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:654:18, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:777:31, inlined from ‘void dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:825:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:774:31: note: at offset 16 into object ‘vsrc’ of size 8 774 | const Vmm vsrc = vtmp; | ^~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndne-sse2-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndne-sse2-x4.c:23:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndne-sse2-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:667:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 667 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndne_ukernel__sse2_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndne-sse2-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndne-sse2-x8.c:23:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndne-sse2-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:668:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 668 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndne_ukernel__sse2_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndu-sse2-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndu-sse2-x4.c:23:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndu-sse2-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:703:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 703 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndu_ukernel__sse2_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndu-sse2-x8.c.o [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndz-sse2-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndu-sse2-x8.c:23:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndu-sse2-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:704:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 704 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndu_ukernel__sse2_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndz-sse2-x4.c:23:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndz-sse2-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:685:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 685 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndz_ukernel__sse2_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndz-sse2-x8.c.o [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-lut64-p2-div-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-lut64-p2-div-x4.c:24:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-lut64-p2-div-x4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:919:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 919 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__sse2_rr2_lut64_p2_div_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndz-sse2-x8.c:23:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndz-sse2-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:686:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 686 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndz_ukernel__sse2_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::var_channels()::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:992:40, inlined from ‘void dnnl::impl::cpu::x64::jit_bnorm_t::spat_loop(size_t, size_t, size_t, init_t, body_t, fini_t) [with init_t = dnnl::impl::cpu::x64::jit_bnorm_t::var_channels()::; body_t = dnnl::impl::cpu::x64::jit_bnorm_t::var_channels()::; fini_t = dnnl::impl::cpu::x64::jit_bnorm_t::var_channels()::; dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:727:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_bnorm_t::spat_loop(size_t, size_t, size_t, init_t, body_t, fini_t) [with init_t = dnnl::impl::cpu::x64::jit_bnorm_t::var_channels()::; body_t = dnnl::impl::cpu::x64::jit_bnorm_t::var_channels()::; fini_t = dnnl::impl::cpu::x64::jit_bnorm_t::var_channels()::; dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:982:29: note: object ‘vtmp1’ of size 8 982 | Vmm vtmp1 = Vmm(3 * base_reg + 2); | ^~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1002:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::var_channels()::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:992:40, inlined from ‘void dnnl::impl::cpu::x64::jit_bnorm_t::spat_loop(size_t, size_t, size_t, init_t, body_t, fini_t) [with init_t = dnnl::impl::cpu::x64::jit_bnorm_t::var_channels()::; body_t = dnnl::impl::cpu::x64::jit_bnorm_t::var_channels()::; fini_t = dnnl::impl::cpu::x64::jit_bnorm_t::var_channels()::; dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:727:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_bnorm_t::spat_loop(size_t, size_t, size_t, init_t, body_t, fini_t) [with init_t = dnnl::impl::cpu::x64::jit_bnorm_t::var_channels()::; body_t = dnnl::impl::cpu::x64::jit_bnorm_t::var_channels()::; fini_t = dnnl::impl::cpu::x64::jit_bnorm_t::var_channels()::; dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:982:29: note: object ‘vtmp1’ of size 8 982 | Vmm vtmp1 = Vmm(3 * base_reg + 2); | ^~~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-lut64-p2-div-x8.c.o [ 40%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/common/assertions.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-lut64-p2-div-x8.c:24:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-lut64-p2-div-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:920:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 920 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__sse2_rr2_lut64_p2_div_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-lut64-p2-div-x12.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-lut64-p2-div-x12.c:24:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-lut64-p2-div-x12.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:921:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 921 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__sse2_rr2_lut64_p2_div_x12) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-lut64-p2-div-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-lut64-p2-div-x16.c:24:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-lut64-p2-div-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:922:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 922 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__sse2_rr2_lut64_p2_div_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_bnorm_t::backward_sh_channels_nspc_compute(int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:1469:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_bnorm_t::backward_sh_channels_nspc_compute(int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:1453:27: note: object ‘vdiff_dst’ of size 8 1453 | const Vmm vdiff_dst = vdiff_beta; | ^~~~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1002:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_bnorm_t::backward_sh_channels_nspc_compute(int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:1469:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_bnorm_t::backward_sh_channels_nspc_compute(int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:1452:27: note: object ‘vsrc’ of size 8 1452 | const Vmm vsrc = vdiff_gamma; | ^~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-lut64-p2-div-x20.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-lut64-p2-div-x20.c:24:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-lut64-p2-div-x20.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:923:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 923 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__sse2_rr2_lut64_p2_div_x20) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-lut64-p2-div-x24.c.o [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-p5-div-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-lut64-p2-div-x24.c:24:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-lut64-p2-div-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:924:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 924 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__sse2_rr2_lut64_p2_div_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-p5-div-x4.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-p5-div-x4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:905:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 905 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__sse2_rr2_p5_div_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-p5-div-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-p5-div-x8.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-p5-div-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:906:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 906 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__sse2_rr2_p5_div_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-p5-div-x12.c.o In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::sqrtps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:846:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vsqrtps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1190:19, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::backward_diff_channels_nspc_compute(int)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:1639:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:1636:27: note: object ‘vsqrtvar_ch’ of size 8 1636 | const Vmm vsqrtvar_ch = Vmm(idx); | ^~~~~~~~~~~ [ 40%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/common/interned_strings.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-p5-div-x12.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-p5-div-x12.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:907:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 907 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__sse2_rr2_p5_div_x12) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-p5-div-x16.c.o In member function ‘void dnnl::impl::cpu::x64::jit_uni_prelu_forward_kernel_t::uni_vfmadd132ps(const Vmm&, const Vmm&, const Xbyak::Operand&, bool) [with Vmm = Xbyak::Zmm]’, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_prelu_forward_kernel_t::uni_vfmadd132ps(const Vmm&, const Vmm&, const Xbyak::Operand&, bool) [with Vmm = Xbyak::Zmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_forward_kernel.cpp:194:6, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_prelu_forward_kernel_t::compute_dst(size_t, bool) [with Vmm = Xbyak::Zmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_forward_kernel.cpp:236:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_forward_kernel.cpp:201:30: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Zmm [1]’ [-Warray-bounds] 201 | const Xbyak::Address addr | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_forward_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_prelu_forward_kernel_t::compute_dst(size_t, bool) [with Vmm = Xbyak::Zmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_forward_kernel.cpp:234:23: note: object ‘weights_operand’ of size 8 234 | const Vmm weights_operand | ^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-p5-div-x16.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-p5-div-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:908:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 908 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__sse2_rr2_p5_div_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-p5-div-x20.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-p5-div-x20.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-p5-div-x20.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:909:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 909 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__sse2_rr2_p5_div_x20) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-p5-div-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-p5-div-x24.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-p5-div-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:910:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 910 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__sse2_rr2_p5_div_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_forward_kernel.hpp:23, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_forward_kernel.cpp:18: In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::maxps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:530:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vmaxps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1337:18, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_prelu_forward_kernel_t::compute_dst(size_t, bool) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_forward_kernel.cpp:226:19: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_forward_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_prelu_forward_kernel_t::compute_dst(size_t, bool) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_forward_kernel.cpp:221:19: note: object ‘src_vmm’ of size 8 221 | const Vmm src_vmm {get_compute_vmm(src_idx, unroll_group)}; | ^~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::minps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:535:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vminps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1361:18, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_prelu_forward_kernel_t::compute_dst(size_t, bool) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_forward_kernel.cpp:227:19: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_forward_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_prelu_forward_kernel_t::compute_dst(size_t, bool) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_forward_kernel.cpp:221:19: note: object ‘src_vmm’ of size 8 221 | const Vmm src_vmm {get_compute_vmm(src_idx, unroll_group)}; | ^~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd132ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:881:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd132ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:890:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_prelu_forward_kernel_t::uni_vfmadd132ps(const Vmm&, const Vmm&, const Xbyak::Operand&, bool) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_forward_kernel.cpp:190:20, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_prelu_forward_kernel_t::compute_dst(size_t, bool) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_forward_kernel.cpp:236:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_forward_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_prelu_forward_kernel_t::compute_dst(size_t, bool) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_forward_kernel.cpp:234:23: note: object ‘weights_operand’ of size 8 234 | const Vmm weights_operand | ^~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/cvt-f16-f32-sse2-int16.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_backward_kernel.hpp:24, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_backward_kernel.cpp:18: In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::movups(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:588:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vmovups(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:477:19, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vcmpps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1406:56, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_prelu_backward_kernel_t::compute_dst(size_t, bool) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_backward_kernel.cpp:179:19: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_backward_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_prelu_backward_kernel_t::compute_dst(size_t, bool) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_backward_kernel.cpp:165:19: note: object ‘src_vmm’ of size 8 165 | const Vmm src_vmm {get_compute_vmm(src_idx, unroll_group)}; | ^~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::movups(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:588:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vmovups(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:477:19, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vcmpps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1406:56, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_prelu_backward_kernel_t::compute_dst(size_t, bool) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_backward_kernel.cpp:182:19: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_backward_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_prelu_backward_kernel_t::compute_dst(size_t, bool) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_backward_kernel.cpp:165:19: note: object ‘src_vmm’ of size 8 165 | const Vmm src_vmm {get_compute_vmm(src_idx, unroll_group)}; | ^~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::movups(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:588:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vmulps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:816:23, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_prelu_backward_kernel_t::compute_dst(size_t, bool) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_backward_kernel.cpp:186:19: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_backward_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_prelu_backward_kernel_t::compute_dst(size_t, bool) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_backward_kernel.cpp:164:19: note: object ‘dst_diff_vmm’ of size 8 164 | const Vmm dst_diff_vmm {get_compute_vmm(dst_diff_idx, unroll_group)}; | ^~~~~~~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::movups(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:588:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vmulps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:816:23, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_prelu_backward_kernel_t::compute_dst(size_t, bool) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_backward_kernel.cpp:187:19: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_backward_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_prelu_backward_kernel_t::compute_dst(size_t, bool) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_backward_kernel.cpp:170:19: note: object ‘weights_diff_vmm’ of size 8 170 | const Vmm weights_diff_vmm { | ^~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::movups(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:588:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vmulps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:816:23, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_prelu_backward_kernel_t::compute_dst(size_t, bool) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_backward_kernel.cpp:194:19: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_backward_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_prelu_backward_kernel_t::compute_dst(size_t, bool) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_backward_kernel.cpp:168:19: note: object ‘src_gt_zero_vmm’ of size 8 168 | const Vmm src_gt_zero_vmm { | ^~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:27, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/injectors/injector_utils.hpp:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/injectors/jit_uni_postops_injector.hpp:27, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:24: In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:630:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:604:17: note: object ‘zp_src_comp_pad_vmm’ of size 8 604 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘bool Xbyak::RegExp::isVsib(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:930:68, inlined from ‘bool Xbyak::Address::isVsib() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1291:40, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2004:33, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:630:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:604:17: note: at offset 16 into object ‘zp_src_comp_pad_vmm’ of size 8 604 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:630:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:604:17: note: object ‘zp_src_comp_pad_vmm’ of size 8 604 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:630:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:604:17: note: at offset 8 into object ‘zp_src_comp_pad_vmm’ of size 8 604 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:630:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:604:17: note: at offset 8 into object ‘zp_src_comp_pad_vmm’ of size 8 604 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:630:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:604:17: note: at offset 8 into object ‘zp_src_comp_pad_vmm’ of size 8 604 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:630:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:604:17: note: at offset 8 into object ‘zp_src_comp_pad_vmm’ of size 8 604 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:630:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:604:17: note: at offset 8 into object ‘zp_src_comp_pad_vmm’ of size 8 604 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:630:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:604:17: note: at offset 16 into object ‘zp_src_comp_pad_vmm’ of size 8 604 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/cvt-f16-f32-sse2-int32.c.o [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/cvt-f32-f16-sse2.c.o [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/exp-f32-sse2-rr2-lut64-p2.c.o [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/exp-f32-sse2-rr2-p5.c.o [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/expm1minus-f32-sse2-rr2-lut16-p3.c.o [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/expm1minus-f32-sse2-rr2-p6.c.o [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/expminus-f32-sse2-rr2-p5.c.o In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:630:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:604:17: note: object ‘zp_src_comp_pad_vmm’ of size 8 604 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘bool Xbyak::RegExp::isVsib(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:930:68, inlined from ‘bool Xbyak::Address::isVsib() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1291:40, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2004:33, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:630:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:604:17: note: at offset 16 into object ‘zp_src_comp_pad_vmm’ of size 8 604 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:630:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:604:17: note: object ‘zp_src_comp_pad_vmm’ of size 8 604 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:630:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:604:17: note: at offset 8 into object ‘zp_src_comp_pad_vmm’ of size 8 604 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:630:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:604:17: note: at offset 8 into object ‘zp_src_comp_pad_vmm’ of size 8 604 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:630:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:604:17: note: at offset 8 into object ‘zp_src_comp_pad_vmm’ of size 8 604 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:630:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:604:17: note: at offset 8 into object ‘zp_src_comp_pad_vmm’ of size 8 604 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:630:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:604:17: note: at offset 8 into object ‘zp_src_comp_pad_vmm’ of size 8 604 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:630:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:604:17: note: at offset 16 into object ‘zp_src_comp_pad_vmm’ of size 8 604 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/roundd-sse2-cvt.c.o [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/roundne-sse2-cvt.c.o [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/roundu-sse2-cvt.c.o [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/roundz-sse2-cvt.c.o [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f32-sse2-rr2-lut64-p2-div.c.o [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f32-sse2-rr2-lut64-p2-nr1.c.o [ 41%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/common/ir_pb_converter.cc.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:27, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/injectors/injector_utils.hpp:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:25: In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘bool Xbyak::RegExp::isVsib(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:930:68, inlined from ‘bool Xbyak::Address::isVsib() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1291:40, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2004:33, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 16 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 16 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/common/model_helpers.cc.o [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f32-sse2-rr2-lut64-p2-nr2.c.o [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f32-sse2-rr2-p5-div.c.o [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f32-sse2-rr2-p5-nr1.c.o [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f32-sse2-rr2-p5-nr2.c.o [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-3p8c-minmax-fp32-sse2-mul16.c.o [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-sse2-mul16-add16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-3p8c-minmax-fp32-sse2-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-3p8c-minmax-fp32-sse2-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:945:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 945 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_3p8c__sse2_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; dnnl_data_type_t d_type = dnnl_f32]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:278:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript ‘const Xbyak::RegExp[0]’ is partly outside array bounds of ‘const std::array [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; dnnl_data_type_t d_type = dnnl_f32]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:263:37: note: at offset [8, 24] into object ‘vdst’ of size 24 263 | static const std::array vdst {{Vmm(4), Vmm(13), Vmm(22)}}; | ^~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; dnnl_data_type_t d_type = dnnl_f32]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:278:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript ‘const Xbyak::RegExp[0]’ is partly outside array bounds of ‘const std::array [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; dnnl_data_type_t d_type = dnnl_f32]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:263:37: note: at offset [8, 24] into object ‘vdst’ of size 24 263 | static const std::array vdst {{Vmm(4), Vmm(13), Vmm(22)}}; | ^~~~ In member function ‘bool Xbyak::Address::isBroadcast() const’, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2256:101, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; dnnl_data_type_t d_type = dnnl_f32]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:278:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1284:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const std::array [1]’ [-Warray-bounds] 1284 | bool isBroadcast() const { return broadcast_; } | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; dnnl_data_type_t d_type = dnnl_f32]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:263:37: note: object ‘vdst’ of size 24 263 | static const std::array vdst {{Vmm(4), Vmm(13), Vmm(22)}}; | ^~~~ In member function ‘bool Xbyak::Address::isBroadcast() const’, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2260:25, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; dnnl_data_type_t d_type = dnnl_f32]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:278:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1284:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const std::array [1]’ [-Warray-bounds] 1284 | bool isBroadcast() const { return broadcast_; } | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; dnnl_data_type_t d_type = dnnl_f32]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:263:37: note: object ‘vdst’ of size 24 263 | static const std::array vdst {{Vmm(4), Vmm(13), Vmm(22)}}; | ^~~~ In member function ‘Xbyak::Address::Mode Xbyak::Address::getMode() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2005:19, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; dnnl_data_type_t d_type = dnnl_f32]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:278:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1274:39: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const std::array [1]’ [-Warray-bounds] 1274 | Mode getMode() const { return mode_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; dnnl_data_type_t d_type = dnnl_f32]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:263:37: note: object ‘vdst’ of size 24 263 | static const std::array vdst {{Vmm(4), Vmm(13), Vmm(22)}}; | ^~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; dnnl_data_type_t d_type = dnnl_f32]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:278:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const std::array [1]’ [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; dnnl_data_type_t d_type = dnnl_f32]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:263:37: note: object ‘vdst’ of size 24 263 | static const std::array vdst {{Vmm(4), Vmm(13), Vmm(22)}}; | ^~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; dnnl_data_type_t d_type = dnnl_f32]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:278:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript ‘const Xbyak::RegExp[0]’ is partly outside array bounds of ‘const std::array [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; dnnl_data_type_t d_type = dnnl_f32]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:263:37: note: at offset [8, 24] into object ‘vdst’ of size 24 263 | static const std::array vdst {{Vmm(4), Vmm(13), Vmm(22)}}; | ^~~~ In member function ‘Xbyak::Address::Mode Xbyak::Address::getMode() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2013:21, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; dnnl_data_type_t d_type = dnnl_f32]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:278:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1274:39: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const std::array [1]’ [-Warray-bounds] 1274 | Mode getMode() const { return mode_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; dnnl_data_type_t d_type = dnnl_f32]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:263:37: note: object ‘vdst’ of size 24 263 | static const std::array vdst {{Vmm(4), Vmm(13), Vmm(22)}}; | ^~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; dnnl_data_type_t d_type = dnnl_f32]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:278:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript ‘const Xbyak::RegExp[0]’ is partly outside array bounds of ‘const std::array [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; dnnl_data_type_t d_type = dnnl_f32]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:263:37: note: at offset [8, 24] into object ‘vdst’ of size 24 263 | static const std::array vdst {{Vmm(4), Vmm(13), Vmm(22)}}; | ^~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; dnnl_data_type_t d_type = dnnl_f32]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:278:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript ‘const Xbyak::RegExp[0]’ is partly outside array bounds of ‘const std::array [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; dnnl_data_type_t d_type = dnnl_f32]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:263:37: note: at offset [8, 24] into object ‘vdst’ of size 24 263 | static const std::array vdst {{Vmm(4), Vmm(13), Vmm(22)}}; | ^~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; dnnl_data_type_t d_type = dnnl_f32]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:278:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript ‘const Xbyak::RegExp[0]’ is partly outside array bounds of ‘const std::array [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; dnnl_data_type_t d_type = dnnl_f32]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:263:37: note: at offset [8, 24] into object ‘vdst’ of size 24 263 | static const std::array vdst {{Vmm(4), Vmm(13), Vmm(22)}}; | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-sse2-mul16-add16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-sse2-mul16-add16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:963:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 963 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p8c__sse2_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-sse2-mul16.c.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_max_f16.o [ 41%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/common/path.cc.o [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-sse2-mul16-add16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-sse2-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-sse2-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:959:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 959 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p8c__sse2_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-sse2-mul16-add16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-sse2-mul16-add16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:964:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 964 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p16c__sse2_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-sse2-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-sse2-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-sse2-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:960:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 960 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p16c__sse2_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘bool Xbyak::RegExp::isVsib(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:930:68, inlined from ‘bool Xbyak::Address::isVsib() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1291:40, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2004:33, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 16 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 16 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p24c-minmax-fp32-sse2-mul16.c.o [ 41%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/common/status.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p24c-minmax-fp32-sse2-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p24c-minmax-fp32-sse2-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:961:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 961 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p24c__sse2_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/attr_proto_util.cc.o [ 41%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/controlflow/defs.cc.o [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-sse2-mul16-add16.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:27, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.hpp:20, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:17: In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vmulps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1194:95, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&, const Xbyak::Ymm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1018:19, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1026:24, inlined from ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:141:24: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:130:20: note: at offset 8 into object ‘c_states_zmm’ of size 8 130 | const auto c_states_zmm = get_compute_zmm(c_states_idx, unroll_group); | ^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:129:20: note: at offset 8 into object ‘scratch_zmm’ of size 8 129 | const auto scratch_zmm = get_compute_zmm(scratch_idx, unroll_group); | ^~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:19, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vmulps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1194:95, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&, const Xbyak::Ymm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1018:19, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1026:24, inlined from ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:141:24: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:130:20: note: at offset 16 into object ‘c_states_zmm’ of size 8 130 | const auto c_states_zmm = get_compute_zmm(c_states_idx, unroll_group); | ^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:129:20: note: at offset 16 into object ‘scratch_zmm’ of size 8 129 | const auto scratch_zmm = get_compute_zmm(scratch_idx, unroll_group); | ^~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vmulps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1194:95, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&, const Xbyak::Ymm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1018:19, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1026:24, inlined from ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:141:24: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:130:20: note: at offset 8 into object ‘c_states_zmm’ of size 8 130 | const auto c_states_zmm = get_compute_zmm(c_states_idx, unroll_group); | ^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:129:20: note: at offset 8 into object ‘scratch_zmm’ of size 8 129 | const auto scratch_zmm = get_compute_zmm(scratch_idx, unroll_group); | ^~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vmulps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1194:95, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&, const Xbyak::Ymm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1018:19, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1026:24, inlined from ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:141:24: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:130:20: note: at offset 8 into object ‘c_states_zmm’ of size 8 130 | const auto c_states_zmm = get_compute_zmm(c_states_idx, unroll_group); | ^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:129:20: note: at offset 8 into object ‘scratch_zmm’ of size 8 129 | const auto scratch_zmm = get_compute_zmm(scratch_idx, unroll_group); | ^~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vmulps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1194:95, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&, const Xbyak::Ymm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1018:19, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1026:24, inlined from ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:141:24: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:130:20: note: at offset 16 into object ‘c_states_zmm’ of size 8 130 | const auto c_states_zmm = get_compute_zmm(c_states_idx, unroll_group); | ^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:129:20: note: at offset 16 into object ‘scratch_zmm’ of size 8 129 | const auto scratch_zmm = get_compute_zmm(scratch_idx, unroll_group); | ^~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘bool Xbyak::Address::is32bit() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1275:51, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2253:33, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vmulps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1194:95, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&, const Xbyak::Ymm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1018:19, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1026:24, inlined from ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:141:24: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:130:20: note: at offset 8 into object ‘c_states_zmm’ of size 8 130 | const auto c_states_zmm = get_compute_zmm(c_states_idx, unroll_group); | ^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:129:20: note: at offset 8 into object ‘scratch_zmm’ of size 8 129 | const auto scratch_zmm = get_compute_zmm(scratch_idx, unroll_group); | ^~~~~~~~~~~ In member function ‘bool Xbyak::Address::isBroadcast() const’, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2256:101, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vmulps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1194:95, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&, const Xbyak::Ymm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1018:19, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1026:24, inlined from ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:141:24: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1284:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1284 | bool isBroadcast() const { return broadcast_; } | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:130:20: note: object ‘c_states_zmm’ of size 8 130 | const auto c_states_zmm = get_compute_zmm(c_states_idx, unroll_group); | ^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:129:20: note: object ‘scratch_zmm’ of size 8 129 | const auto scratch_zmm = get_compute_zmm(scratch_idx, unroll_group); | ^~~~~~~~~~~ In member function ‘bool Xbyak::Address::isBroadcast() const’, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2260:25, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vmulps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1194:95, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&, const Xbyak::Ymm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1018:19, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1026:24, inlined from ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:141:24: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1284:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1284 | bool isBroadcast() const { return broadcast_; } | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:130:20: note: object ‘c_states_zmm’ of size 8 130 | const auto c_states_zmm = get_compute_zmm(c_states_idx, unroll_group); | ^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:129:20: note: object ‘scratch_zmm’ of size 8 129 | const auto scratch_zmm = get_compute_zmm(scratch_idx, unroll_group); | ^~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vaddps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:877:95, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&, const Xbyak::Ymm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1019:19, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1026:24, inlined from ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:141:24: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:129:20: note: at offset 8 into object ‘scratch_zmm’ of size 8 129 | const auto scratch_zmm = get_compute_zmm(scratch_idx, unroll_group); | ^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:140:20: note: at offset 8 into object ‘dst_zmm_masked’ of size 8 140 | const auto dst_zmm_masked = tail ? dst_zmm | tail_opmask_ : dst_zmm; | ^~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:19, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vaddps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:877:95, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&, const Xbyak::Ymm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1019:19, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1026:24, inlined from ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:141:24: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:129:20: note: at offset 16 into object ‘scratch_zmm’ of size 8 129 | const auto scratch_zmm = get_compute_zmm(scratch_idx, unroll_group); | ^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:140:20: note: at offset 16 into object ‘dst_zmm_masked’ of size 8 140 | const auto dst_zmm_masked = tail ? dst_zmm | tail_opmask_ : dst_zmm; | ^~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vaddps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:877:95, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&, const Xbyak::Ymm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1019:19, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1026:24, inlined from ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:141:24: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:129:20: note: at offset 8 into object ‘scratch_zmm’ of size 8 129 | const auto scratch_zmm = get_compute_zmm(scratch_idx, unroll_group); | ^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:140:20: note: at offset 8 into object ‘dst_zmm_masked’ of size 8 140 | const auto dst_zmm_masked = tail ? dst_zmm | tail_opmask_ : dst_zmm; | ^~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vaddps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:877:95, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&, const Xbyak::Ymm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1019:19, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1026:24, inlined from ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:141:24: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:129:20: note: at offset 8 into object ‘scratch_zmm’ of size 8 129 | const auto scratch_zmm = get_compute_zmm(scratch_idx, unroll_group); | ^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:140:20: note: at offset 8 into object ‘dst_zmm_masked’ of size 8 140 | const auto dst_zmm_masked = tail ? dst_zmm | tail_opmask_ : dst_zmm; | ^~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vaddps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:877:95, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&, const Xbyak::Ymm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1019:19, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1026:24, inlined from ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:141:24: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:129:20: note: at offset 16 into object ‘scratch_zmm’ of size 8 129 | const auto scratch_zmm = get_compute_zmm(scratch_idx, unroll_group); | ^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:140:20: note: at offset 16 into object ‘dst_zmm_masked’ of size 8 140 | const auto dst_zmm_masked = tail ? dst_zmm | tail_opmask_ : dst_zmm; | ^~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘bool Xbyak::Address::is32bit() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1275:51, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2253:33, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vaddps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:877:95, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&, const Xbyak::Ymm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1019:19, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1026:24, inlined from ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:141:24: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:129:20: note: at offset 8 into object ‘scratch_zmm’ of size 8 129 | const auto scratch_zmm = get_compute_zmm(scratch_idx, unroll_group); | ^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:140:20: note: at offset 8 into object ‘dst_zmm_masked’ of size 8 140 | const auto dst_zmm_masked = tail ? dst_zmm | tail_opmask_ : dst_zmm; | ^~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::isBroadcast() const’, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2256:101, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vaddps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:877:95, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&, const Xbyak::Ymm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1019:19, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1026:24, inlined from ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:141:24: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1284:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1284 | bool isBroadcast() const { return broadcast_; } | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:129:20: note: object ‘scratch_zmm’ of size 8 129 | const auto scratch_zmm = get_compute_zmm(scratch_idx, unroll_group); | ^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:140:20: note: object ‘dst_zmm_masked’ of size 8 140 | const auto dst_zmm_masked = tail ? dst_zmm | tail_opmask_ : dst_zmm; | ^~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::isBroadcast() const’, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2260:25, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vaddps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:877:95, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&, const Xbyak::Ymm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1019:19, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1026:24, inlined from ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:141:24: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1284:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1284 | bool isBroadcast() const { return broadcast_; } | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:129:20: note: object ‘scratch_zmm’ of size 8 129 | const auto scratch_zmm = get_compute_zmm(scratch_idx, unroll_group); | ^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:140:20: note: object ‘dst_zmm_masked’ of size 8 140 | const auto dst_zmm_masked = tail ? dst_zmm | tail_opmask_ : dst_zmm; | ^~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-sse2-mul16.c.o In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘bool Xbyak::RegExp::isVsib(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:930:68, inlined from ‘bool Xbyak::Address::isVsib() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1291:40, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2004:33, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 16 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 16 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-sse2-mul16-add16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-sse2-mul16-add16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1040:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1040 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p8c__sse2_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-sse2-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-sse2-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1036:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1036 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p8c__sse2_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-sse2-mul16-add16.c.o [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-sse2-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-sse2-mul16-add16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-sse2-mul16-add16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1041:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1041 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p16c__sse2_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-sse2-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-sse2-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1037:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1037 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p16c__sse2_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p24c-minmax-fp32-sse2-mul16.c.o In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘bool Xbyak::RegExp::isVsib(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:930:68, inlined from ‘bool Xbyak::Address::isVsib() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1291:40, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2004:33, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 16 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 16 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘bool Xbyak::RegExp::isVsib(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:930:68, inlined from ‘bool Xbyak::Address::isVsib() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1291:40, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2004:33, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 16 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 16 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4c2-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p24c-minmax-fp32-sse2-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p24c-minmax-fp32-sse2-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1038:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1038 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p24c__sse2_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2-minmax-fp32-sse2-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1783:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1783 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c2__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/controlflow/old.cc.o [ 41%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/data_type_utils.cc.o [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4c2-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2-minmax-fp32-sse2-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1803:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1803 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c2__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4c2s4-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2s4-minmax-fp32-sse2-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2s4-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1823:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1823 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c2s4__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4c2s4-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2s4-minmax-fp32-sse2-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2s4-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1843:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1843 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c2s4__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4c8-minmax-fp32-sse2-ld64.c.o In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘bool Xbyak::RegExp::isVsib(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:930:68, inlined from ‘bool Xbyak::Address::isVsib() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1291:40, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2004:33, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 16 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 16 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4c8-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c8-minmax-fp32-sse2-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c8-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1863:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1863 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_bf16cvt.hpp:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_pool_kernel.cpp:21: In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vaddps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:654:18, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_pool_kernel::avg_step(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_pool_kernel.cpp:696:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_pool_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_pool_kernel::avg_step(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_pool_kernel.cpp:685:28: note: object ‘accvr’ of size 8 685 | const auto accvr = vreg(reg_ind(0, bci, jj, ur_bc, ur_w)); | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c8-minmax-fp32-sse2-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c8-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1879:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1879 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c8__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4c2-minmax-fp32-sse2-ld64.c.o [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4c2-minmax-fp32-sse2-ld128.c.o [ 41%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/function.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2-minmax-fp32-sse2-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1784:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1784 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4c2__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2-minmax-fp32-sse2-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1804:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1804 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4c2__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘bool Xbyak::RegExp::isVsib(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:930:68, inlined from ‘bool Xbyak::Address::isVsib() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1291:40, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2004:33, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 16 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 16 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘bool Xbyak::RegExp::isVsib(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:930:68, inlined from ‘bool Xbyak::Address::isVsib() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1291:40, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2004:33, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 16 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 16 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4c2s4-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2s4-minmax-fp32-sse2-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2s4-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1824:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1824 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4c2s4__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4c2s4-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2s4-minmax-fp32-sse2-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2s4-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1844:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1844 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4c2s4__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/generator/defs.cc.o [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4c8-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c8-minmax-fp32-sse2-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c8-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1864:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1864 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4c8-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c8-minmax-fp32-sse2-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c8-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1880:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1880 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4c8__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘bool Xbyak::RegExp::isVsib(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:930:68, inlined from ‘bool Xbyak::Address::isVsib() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1291:40, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2004:33, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 16 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 16 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4c2-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2-minmax-fp32-sse2-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1785:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1785 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4c2__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4c2-minmax-fp32-sse2-ld128.c.o In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘bool Xbyak::RegExp::isVsib(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:930:68, inlined from ‘bool Xbyak::Address::isVsib() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1291:40, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2004:33, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 16 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 16 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2-minmax-fp32-sse2-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1805:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1805 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4c2__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4c2s4-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2s4-minmax-fp32-sse2-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2s4-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1825:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1825 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4c2s4__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4c2s4-minmax-fp32-sse2-ld128.c.o In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘bool Xbyak::RegExp::isVsib(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:930:68, inlined from ‘bool Xbyak::Address::isVsib() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1291:40, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2004:33, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 16 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 16 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2s4-minmax-fp32-sse2-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2s4-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1845:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1845 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4c2s4__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4c8-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c8-minmax-fp32-sse2-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c8-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1865:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1865 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4c8-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c8-minmax-fp32-sse2-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c8-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1881:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1881 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4c8__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-4x4c2-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2-minmax-fp32-sse2-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1786:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1786 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_4x4c2__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-4x4c2-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2-minmax-fp32-sse2-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1806:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1806 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_4x4c2__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-4x4c2s4-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2s4-minmax-fp32-sse2-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2s4-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1826:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1826 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_4x4c2s4__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-4x4c2s4-minmax-fp32-sse2-ld128.c.o In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘bool Xbyak::RegExp::isVsib(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:930:68, inlined from ‘bool Xbyak::Address::isVsib() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1291:40, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2004:33, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 16 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 16 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘bool Xbyak::RegExp::isVsib(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:930:68, inlined from ‘bool Xbyak::Address::isVsib() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1291:40, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2004:33, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 16 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 16 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2s4-minmax-fp32-sse2-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2s4-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1846:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1846 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_4x4c2s4__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4c2-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1452:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1452 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c2__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4c2-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1472:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1472 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c2__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4c2s4-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2s4-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2s4-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1492:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1492 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c2s4__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4c2s4-minmax-fp32-sse2-ld128.c.o [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4c8-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2s4-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2s4-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1512:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1512 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c2s4__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4c8-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c8-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c8-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1548:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1548 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c8__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c8-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c8-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1532:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1532 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4c2-minmax-fp32-sse2-ld64.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:27, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/shuffle/jit_uni_shuffle_kernel.cpp:22: In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::movups(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:588:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vmovups(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:477:19, inlined from ‘dnnl::impl::cpu::x64::jit_uni_shuffle_kernel_t::shuffle_blocked_format()::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/shuffle/jit_uni_shuffle_kernel.cpp:314:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_shuffle_kernel_t::shuffle_blocked_format() [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/shuffle/jit_uni_shuffle_kernel.cpp:392:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const dnnl::impl::cpu::x64::jit_uni_shuffle_kernel_t::Vmm [4]’ {aka ‘const Xbyak::Xmm [4]’} [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/shuffle/jit_uni_shuffle_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_shuffle_kernel_t::shuffle_blocked_format() [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/shuffle/jit_uni_shuffle_kernel.cpp:297:15: note: object ‘vmm_tmp’ of size 32 297 | const Vmm vmm_tmp[4] = {Vmm(5), Vmm(6), Vmm(7), Vmm(8)}; | ^~~~~~~ Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_u32.o [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4c2-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1453:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1453 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x4c2__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1473:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1473 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x4c2__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4c2s4-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2s4-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2s4-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1493:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1493 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x4c2s4__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4c2s4-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2s4-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2s4-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1513:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1513 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x4c2s4__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘bool Xbyak::RegExp::isVsib(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:930:68, inlined from ‘bool Xbyak::Address::isVsib() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1291:40, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2004:33, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 16 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 16 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4c8-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c8-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c8-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1533:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1533 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4c8-minmax-fp32-sse2-ld128.c.o [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4c2-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c8-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c8-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1549:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1549 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x4c8__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1454:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1454 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x4c2__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4c2-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1474:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1474 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x4c2__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4c2s4-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2s4-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2s4-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1494:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1494 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x4c2s4__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/generator/old.cc.o [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4c2s4-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2s4-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2s4-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1514:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1514 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x4c2s4__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/logical/defs.cc.o [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4c8-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c8-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c8-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1534:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1534 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4c8-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c8-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c8-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1550:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1550 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x4c8__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘bool Xbyak::RegExp::isVsib(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:930:68, inlined from ‘bool Xbyak::Address::isVsib() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1291:40, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2004:33, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 16 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 16 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘bool Xbyak::RegExp::isVsib(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:930:68, inlined from ‘bool Xbyak::Address::isVsib() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1291:40, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2004:33, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 16 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 16 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-4x4c2-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1455:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1455 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_4x4c2__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/logical/old.cc.o [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-4x4c2-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1475:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1475 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_4x4c2__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core; dnnl_data_type_t d_type = dnnl_bf16]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:278:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript ‘const Xbyak::RegExp[0]’ is partly outside array bounds of ‘const std::array [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core; dnnl_data_type_t d_type = dnnl_bf16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:263:37: note: at offset [8, 24] into object ‘vdst’ of size 24 263 | static const std::array vdst {{Vmm(4), Vmm(13), Vmm(22)}}; | ^~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core; dnnl_data_type_t d_type = dnnl_bf16]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:278:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript ‘const Xbyak::RegExp[0]’ is partly outside array bounds of ‘const std::array [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core; dnnl_data_type_t d_type = dnnl_bf16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:263:37: note: at offset [8, 24] into object ‘vdst’ of size 24 263 | static const std::array vdst {{Vmm(4), Vmm(13), Vmm(22)}}; | ^~~~ In member function ‘bool Xbyak::Address::isBroadcast() const’, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2256:101, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core; dnnl_data_type_t d_type = dnnl_bf16]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:278:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1284:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const std::array [1]’ [-Warray-bounds] 1284 | bool isBroadcast() const { return broadcast_; } | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core; dnnl_data_type_t d_type = dnnl_bf16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:263:37: note: object ‘vdst’ of size 24 263 | static const std::array vdst {{Vmm(4), Vmm(13), Vmm(22)}}; | ^~~~ In member function ‘bool Xbyak::Address::isBroadcast() const’, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2260:25, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core; dnnl_data_type_t d_type = dnnl_bf16]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:278:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1284:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const std::array [1]’ [-Warray-bounds] 1284 | bool isBroadcast() const { return broadcast_; } | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core; dnnl_data_type_t d_type = dnnl_bf16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:263:37: note: object ‘vdst’ of size 24 263 | static const std::array vdst {{Vmm(4), Vmm(13), Vmm(22)}}; | ^~~~ In member function ‘Xbyak::Address::Mode Xbyak::Address::getMode() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2005:19, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core; dnnl_data_type_t d_type = dnnl_bf16]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:278:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1274:39: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const std::array [1]’ [-Warray-bounds] 1274 | Mode getMode() const { return mode_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core; dnnl_data_type_t d_type = dnnl_bf16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:263:37: note: object ‘vdst’ of size 24 263 | static const std::array vdst {{Vmm(4), Vmm(13), Vmm(22)}}; | ^~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core; dnnl_data_type_t d_type = dnnl_bf16]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:278:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const std::array [1]’ [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core; dnnl_data_type_t d_type = dnnl_bf16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:263:37: note: object ‘vdst’ of size 24 263 | static const std::array vdst {{Vmm(4), Vmm(13), Vmm(22)}}; | ^~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core; dnnl_data_type_t d_type = dnnl_bf16]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:278:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript ‘const Xbyak::RegExp[0]’ is partly outside array bounds of ‘const std::array [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core; dnnl_data_type_t d_type = dnnl_bf16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:263:37: note: at offset [8, 24] into object ‘vdst’ of size 24 263 | static const std::array vdst {{Vmm(4), Vmm(13), Vmm(22)}}; | ^~~~ In member function ‘Xbyak::Address::Mode Xbyak::Address::getMode() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2013:21, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core; dnnl_data_type_t d_type = dnnl_bf16]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:278:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1274:39: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const std::array [1]’ [-Warray-bounds] 1274 | Mode getMode() const { return mode_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core; dnnl_data_type_t d_type = dnnl_bf16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:263:37: note: object ‘vdst’ of size 24 263 | static const std::array vdst {{Vmm(4), Vmm(13), Vmm(22)}}; | ^~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core; dnnl_data_type_t d_type = dnnl_bf16]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:278:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript ‘const Xbyak::RegExp[0]’ is partly outside array bounds of ‘const std::array [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core; dnnl_data_type_t d_type = dnnl_bf16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:263:37: note: at offset [8, 24] into object ‘vdst’ of size 24 263 | static const std::array vdst {{Vmm(4), Vmm(13), Vmm(22)}}; | ^~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core; dnnl_data_type_t d_type = dnnl_bf16]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:278:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript ‘const Xbyak::RegExp[0]’ is partly outside array bounds of ‘const std::array [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core; dnnl_data_type_t d_type = dnnl_bf16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:263:37: note: at offset [8, 24] into object ‘vdst’ of size 24 263 | static const std::array vdst {{Vmm(4), Vmm(13), Vmm(22)}}; | ^~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core; dnnl_data_type_t d_type = dnnl_bf16]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:278:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript ‘const Xbyak::RegExp[0]’ is partly outside array bounds of ‘const std::array [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core; dnnl_data_type_t d_type = dnnl_bf16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:263:37: note: at offset [8, 24] into object ‘vdst’ of size 24 263 | static const std::array vdst {{Vmm(4), Vmm(13), Vmm(22)}}; | ^~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-4x4c2s4-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2s4-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2s4-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1495:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1495 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_4x4c2s4__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::cvtdq2ps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:190:57, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vcvtdq2ps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1491:21, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::deq_h(Vmm, Xbyak::Address, int) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:635:22, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::to_float(const Vmm&, const Xbyak::Address&, dnnl::impl::data_type_t, int) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:709:38: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::to_float(const Vmm&, const Xbyak::Address&, dnnl::impl::data_type_t, int) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:703:10: note: object ‘dst’ of size 8 703 | void to_float(const Vmm &dst, const Xbyak::Address &src, data_type_t src_dt, | ^~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-4x4c2s4-minmax-fp32-sse2-ld128.c.o In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::cvtdq2ps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:190:57, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vcvtdq2ps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1491:21, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::deq_w(dnnl::impl::data_type_t, Vmm, Vmm, Vmm, dnnl::impl::dim_t, int, int, Xbyak::Reg64*) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:600:22: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::deq_w(dnnl::impl::data_type_t, Vmm, Vmm, Vmm, dnnl::impl::dim_t, int, int, Xbyak::Reg64*) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:584:44: note: object ‘s’ of size 8 584 | void deq_w(data_type_t src_data_t, Vmm s, Vmm tmp1, Vmm tmp2, | ~~~~^ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::divps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:216:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vdivps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:614:18, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::deq_w(dnnl::impl::data_type_t, Vmm, Vmm, Vmm, dnnl::impl::dim_t, int, int, Xbyak::Reg64*) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:613:23: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::deq_w(dnnl::impl::data_type_t, Vmm, Vmm, Vmm, dnnl::impl::dim_t, int, int, Xbyak::Reg64*) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:584:51: note: object ‘tmp1’ of size 8 584 | void deq_w(data_type_t src_data_t, Vmm s, Vmm tmp1, Vmm tmp2, | ~~~~^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2s4-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2s4-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1515:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1515 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_4x4c2s4__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-sse2-mul16-add16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-sse2-mul16-add16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-sse2-mul16-add16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:699:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 699 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p8c__sse2_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-sse2-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-sse2-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-sse2-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:695:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 695 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p8c__sse2_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-sse2-mul16-add16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-sse2-mul16-add16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-sse2-mul16-add16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:700:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 700 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p16c__sse2_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-sse2-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-sse2-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-sse2-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:696:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 696 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p16c__sse2_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p24c-minmax-fp32-sse2-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p24c-minmax-fp32-sse2-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p24c-minmax-fp32-sse2-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:697:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 697 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p24c__sse2_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-sse2-mul16-add16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-sse2-mul16-add16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-sse2-mul16-add16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:795:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 795 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p8c__sse2_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/math/defs.cc.o [ 42%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/math/old.cc.o [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-sse2-mul16.c.o In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::cvtdq2ps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:190:57, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vcvtdq2ps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1491:21, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::deq_h(Vmm, Xbyak::Address, int) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:635:22, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::to_float(const Vmm&, const Xbyak::Address&, dnnl::impl::data_type_t, int) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:709:38: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::to_float(const Vmm&, const Xbyak::Address&, dnnl::impl::data_type_t, int) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:703:10: note: object ‘dst’ of size 8 703 | void to_float(const Vmm &dst, const Xbyak::Address &src, data_type_t src_dt, | ^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-sse2-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-sse2-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:791:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 791 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p8c__sse2_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/math/utils.cc.o [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-sse2-mul16-add16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-sse2-mul16-add16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-sse2-mul16-add16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:796:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 796 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p16c__sse2_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-sse2-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-sse2-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-sse2-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:792:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 792 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p16c__sse2_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p24c-minmax-fp32-sse2-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p24c-minmax-fp32-sse2-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p24c-minmax-fp32-sse2-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:793:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 793 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p24c__sse2_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse2-x8.c.o [ 42%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/nn/defs.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse2-x8.c:23:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse2-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:356:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 356 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__sse2_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/nn/old.cc.o [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse2-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse2-x16.c:23:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse2-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:357:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 357 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__sse2_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_f32.o [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse2-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse2-x24.c:23:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse2-x24.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:358:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 358 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__sse2_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/object_detection/defs.cc.o [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse2-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse2-x32.c:23:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse2-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:359:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 359 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__sse2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-sse2-c8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-sse2-c8.c:27:47: warning: argument 8 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-sse2-c8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:111:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 111 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:128:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 128 | DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7p7x__sse2_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-sse2-c16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-sse2-c16.c:27:47: warning: argument 8 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-sse2-c16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:111:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 111 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:129:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 129 | DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7p7x__sse2_c16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-sse2-c24.c.o [ 42%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/object_detection/old.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-sse2-c24.c:27:47: warning: argument 8 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-sse2-c24.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:111:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 111 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:130:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 130 | DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7p7x__sse2_c24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Built target dnnl_cpu_x64 [ 42%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/optional/defs.cc.o [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-sse2-c8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-sse2-c8.c:25:47: warning: argument 7 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-sse2-c8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:162:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 162 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:179:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 179 | DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7x__sse2_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-sse2-c16.c.o [ 42%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/optional/old.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-sse2-c16.c:25:47: warning: argument 7 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-sse2-c16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:162:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 162 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:180:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 180 | DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7x__sse2_c16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/parser.cc.o [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-sse2-c24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-sse2-c24.c:25:47: warning: argument 7 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-sse2-c24.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:162:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 162 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:181:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 181 | DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7x__sse2_c24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c2-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2-minmax-fp32-sse2-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1329:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1329 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c2__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c2-minmax-fp32-sse2-ld128.c.o [ 42%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/printer.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2-minmax-fp32-sse2-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1349:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1349 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c2__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c2-xw-minmax-fp32-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2-xw-minmax-fp32-sse2.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2-xw-minmax-fp32-sse2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1449:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1449 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_1x4c2__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-minmax-fp32-sse2-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1369:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1369 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c2s4__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-minmax-fp32-sse2-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1389:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1389 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c2s4__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-xw-minmax-fp32-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-xw-minmax-fp32-sse2.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-xw-minmax-fp32-sse2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1454:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1454 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_1x4c2s4__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-sse2-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1409:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1409 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-sse2-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1429:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1429 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c8__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c8-xw-minmax-fp32-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-xw-minmax-fp32-sse2.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-xw-minmax-fp32-sse2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1459:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1459 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_1x4c8__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c2-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2-minmax-fp32-sse2-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1330:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1330 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c2__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c2-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2-minmax-fp32-sse2-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1350:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1350 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c2__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c2-xw-minmax-fp32-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2-xw-minmax-fp32-sse2.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2-xw-minmax-fp32-sse2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1450:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1450 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_2x4c2__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-minmax-fp32-sse2-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1370:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1370 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c2s4__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::cvtdq2ps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:190:57, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vcvtdq2ps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1491:21, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::deq_h(Vmm, Xbyak::Address, int) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:635:22: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::deq_h(Vmm, Xbyak::Address, int) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:619:20: note: object ‘dst’ of size 8 619 | void deq_h(Vmm dst, Xbyak::Address src, int in_len) { | ~~~~^~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-minmax-fp32-sse2-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1390:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1390 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c2s4__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-xw-minmax-fp32-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-xw-minmax-fp32-sse2.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-xw-minmax-fp32-sse2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1455:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1455 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_2x4c2s4__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-sse2-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1410:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1410 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-sse2-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1430:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1430 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c8__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c8-xw-minmax-fp32-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-xw-minmax-fp32-sse2.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-xw-minmax-fp32-sse2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1460:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1460 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_2x4c8__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c2-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2-minmax-fp32-sse2-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1331:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1331 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c2__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c2-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2-minmax-fp32-sse2-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1351:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1351 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c2__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c2-xw-minmax-fp32-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2-xw-minmax-fp32-sse2.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2-xw-minmax-fp32-sse2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1451:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1451 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_3x4c2__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-minmax-fp32-sse2-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1371:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1371 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c2s4__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-minmax-fp32-sse2-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1391:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1391 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c2s4__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/quantization/defs.cc.o [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-xw-minmax-fp32-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-xw-minmax-fp32-sse2.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-xw-minmax-fp32-sse2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1456:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1456 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_3x4c2s4__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-sse2-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1411:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1411 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_bf16.o [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-sse2-ld128.c.o [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c8-xw-minmax-fp32-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-sse2-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1431:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1431 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c8__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-xw-minmax-fp32-sse2.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-xw-minmax-fp32-sse2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1461:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1461 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_3x4c8__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4c2-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2-minmax-fp32-sse2-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1332:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1332 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_4x4c2__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4c2-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2-minmax-fp32-sse2-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1352:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1352 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_4x4c2__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/quantization/old.cc.o [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4c2-xw-minmax-fp32-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2-xw-minmax-fp32-sse2.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2-xw-minmax-fp32-sse2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1452:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1452 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_4x4c2__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-minmax-fp32-sse2-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1372:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1372 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_4x4c2s4__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-minmax-fp32-sse2-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1392:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1392 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_4x4c2s4__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-xw-minmax-fp32-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-xw-minmax-fp32-sse2.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-xw-minmax-fp32-sse2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1457:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1457 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_4x4c2s4__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4c2-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1075:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1075 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c2__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4c2-minmax-fp32-sse2-ld128.c.o [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4c2s4-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1095:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1095 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c2__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2s4-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2s4-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1115:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1115 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c2s4__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4c2s4-minmax-fp32-sse2-ld128.c.o [ 42%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/reduction/defs.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2s4-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2s4-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1135:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1135 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c2s4__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1155:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1155 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1175:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1175 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c8__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4c2-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1076:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1076 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c2__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4c2-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1096:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1096 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c2__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/reduction/old.cc.o [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4c2s4-minmax-fp32-sse2-ld64.c.o [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4c2s4-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2s4-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2s4-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1116:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1116 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c2s4__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2s4-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2s4-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1136:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1136 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c2s4__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1156:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1156 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1176:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1176 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c8__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4c2-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1077:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1077 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c2__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4c2-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1097:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1097 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c2__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4c2s4-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2s4-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2s4-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1117:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1117 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c2s4__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4c2s4-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2s4-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2s4-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1137:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1137 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c2s4__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1157:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1157 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1177:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1177 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c8__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/reduction/utils.cc.o [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-4x4c2-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1078:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1078 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_4x4c2__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-4x4c2-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1098:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1098 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_4x4c2__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-4x4c2s4-minmax-fp32-sse2-ld64.c.o [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-4x4c2s4-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2s4-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2s4-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1118:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1118 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_4x4c2s4__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2s4-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2s4-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1138:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1138 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_4x4c2s4__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-requantization/qs8-requantization-fp32-sse2.c.o [ 43%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/rnn/defs.cc.o [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-requantization/qs8-requantization-gemmlowp-sse2.c.o [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-requantization/qs8-requantization-rndna-sse2.c.o [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-sse2-mul16-ld64-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-sse2-mul16-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-sse2-mul16-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:123:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 123 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__sse2_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-sse2-mul16-ld64-x16.c.o [ 43%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/rnn/old.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-sse2-mul16-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-sse2-mul16-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:124:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 124 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__sse2_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-sse2-mul16-ld64-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-sse2-mul16-ld64-x24.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-sse2-mul16-ld64-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:125:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 125 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__sse2_mul16_ld64_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-sse2-mul16-ld64-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-sse2-mul16-ld64-x32.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-sse2-mul16-ld64-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:126:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 126 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__sse2_mul16_ld64_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse2-mul16-ld64-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse2-mul16-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse2-mul16-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:178:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 178 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__sse2_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/schema.cc.o [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse2-mul16-ld64-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse2-mul16-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse2-mul16-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:179:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 179 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__sse2_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/sequence/defs.cc.o [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse2-mul16-ld64-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse2-mul16-ld64-x24.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse2-mul16-ld64-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:180:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 180 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__sse2_mul16_ld64_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse2-mul16-ld64-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse2-mul16-ld64-x32.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse2-mul16-ld64-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:181:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 181 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__sse2_mul16_ld64_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vcvt/gen/qs8-vcvt-sse2-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-sse2-x16.c:23:36: warning: argument 4 of type ‘const union xnn_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-sse2-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:304:39: note: previously declared as ‘const union xnn_qs8_cvt_params *’ 304 | const union xnn_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:310:1: note: in expansion of macro ‘DECLARE_QS8_VCVT_UKERNEL_FUNCTION’ 310 | DECLARE_QS8_VCVT_UKERNEL_FUNCTION(xnn_qs8_vcvt_ukernel__sse2_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vcvt/gen/qs8-vcvt-sse2-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-sse2-x32.c:23:36: warning: argument 4 of type ‘const union xnn_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-sse2-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:304:39: note: previously declared as ‘const union xnn_qs8_cvt_params *’ 304 | const union xnn_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:311:1: note: in expansion of macro ‘DECLARE_QS8_VCVT_UKERNEL_FUNCTION’ 311 | DECLARE_QS8_VCVT_UKERNEL_FUNCTION(xnn_qs8_vcvt_ukernel__sse2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sum_i32.o [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vlrelu/gen/qs8-vlrelu-sse2-x16.c.o [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vlrelu/gen/qs8-vlrelu-sse2-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-sse2-x16.c:23:38: warning: argument 4 of type ‘const union xnn_qs8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-sse2-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:24:41: note: previously declared as ‘const union xnn_qs8_lrelu_params *’ 24 | const union xnn_qs8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:30:1: note: in expansion of macro ‘DECLARE_QS8_VLRELU_UKERNEL_FUNCTION’ 30 | DECLARE_QS8_VLRELU_UKERNEL_FUNCTION(xnn_qs8_vlrelu_ukernel__sse2_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-sse2-x32.c:23:38: warning: argument 4 of type ‘const union xnn_qs8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-sse2-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:24:41: note: previously declared as ‘const union xnn_qs8_lrelu_params *’ 24 | const union xnn_qs8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:31:1: note: in expansion of macro ‘DECLARE_QS8_VLRELU_UKERNEL_FUNCTION’ 31 | DECLARE_QS8_VLRELU_UKERNEL_FUNCTION(xnn_qs8_vlrelu_ukernel__sse2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-sse2-mul16-ld64-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-sse2-mul16-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-sse2-mul16-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:91:46: note: previously declared as ‘const union xnn_qs8_mul_minmax_params *’ 91 | const union xnn_qs8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:105:1: note: in expansion of macro ‘DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION’ 105 | DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vmul_minmax_fp32_ukernel__sse2_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-sse2-mul16-ld64-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-sse2-mul16-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-sse2-mul16-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:91:46: note: previously declared as ‘const union xnn_qs8_mul_minmax_params *’ 91 | const union xnn_qs8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:106:1: note: in expansion of macro ‘DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION’ 106 | DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vmul_minmax_fp32_ukernel__sse2_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-sse2-mul16-ld64-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-sse2-mul16-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-sse2-mul16-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:91:46: note: previously declared as ‘const union xnn_qs8_mul_minmax_params *’ 91 | const union xnn_qs8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:134:1: note: in expansion of macro ‘DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION’ 134 | DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vmulc_minmax_fp32_ukernel__sse2_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-sse2-mul16-ld64-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-sse2-mul16-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-sse2-mul16-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:91:46: note: previously declared as ‘const union xnn_qs8_mul_minmax_params *’ 91 | const union xnn_qs8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:135:1: note: in expansion of macro ‘DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION’ 135 | DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vmulc_minmax_fp32_ukernel__sse2_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-avgpool/qu8-avgpool-9p8x-minmax-fp32-sse2-c8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-avgpool/qu8-avgpool-9p8x-minmax-fp32-sse2-c8.c:28:47: warning: argument 11 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-avgpool/qu8-avgpool-9p8x-minmax-fp32-sse2-c8.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:112:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 112 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:116:1: note: in expansion of macro ‘DECLARE_QU8_AVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 116 | DECLARE_QU8_AVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qu8_avgpool_minmax_fp32_ukernel_9p8x__sse2_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-avgpool/qu8-avgpool-9x-minmax-fp32-sse2-c8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-avgpool/qu8-avgpool-9x-minmax-fp32-sse2-c8.c:27:47: warning: argument 10 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-avgpool/qu8-avgpool-9x-minmax-fp32-sse2-c8.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:130:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 130 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:134:1: note: in expansion of macro ‘DECLARE_QU8_AVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 134 | DECLARE_QU8_AVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_avgpool_minmax_fp32_ukernel_9x__sse2_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p8c-minmax-fp32-sse2-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p8c-minmax-fp32-sse2-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p8c-minmax-fp32-sse2-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:536:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 536 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p8c__sse2_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/shape_inference.cc.o [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-sse2-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-sse2-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-sse2-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:537:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 537 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p16c__sse2_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p8c-minmax-fp32-sse2-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p8c-minmax-fp32-sse2-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p8c-minmax-fp32-sse2-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:545:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 545 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p8c__sse2_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-sse2-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-sse2-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-sse2-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:546:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 546 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p16c__sse2_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Built target fbgemm_generic [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse2-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse2-x8.c:23:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse2-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:449:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 449 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__sse2_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse2-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse2-x16.c:23:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse2-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:450:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 450 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__sse2_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse2-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse2-x24.c:23:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse2-x24.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:451:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 451 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__sse2_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse2-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse2-x32.c:23:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse2-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:452:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 452 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__sse2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-sse2-c8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-sse2-c8.c:27:47: warning: argument 8 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-sse2-c8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:214:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 214 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:231:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 231 | DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7p7x__sse2_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-sse2-c16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-sse2-c16.c:27:47: warning: argument 8 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-sse2-c16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:214:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 214 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:232:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 232 | DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7p7x__sse2_c16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-sse2-c24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-sse2-c24.c:27:47: warning: argument 8 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-sse2-c24.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:214:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 214 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:233:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 233 | DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7p7x__sse2_c24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-sse2-c8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-sse2-c8.c:25:47: warning: argument 7 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-sse2-c8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:265:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 265 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:282:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 282 | DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7x__sse2_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-sse2-c16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-sse2-c16.c:25:47: warning: argument 7 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-sse2-c16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:265:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 265 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:283:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 283 | DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7x__sse2_c16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/tensor/defs.cc.o [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-sse2-c24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-sse2-c24.c:25:47: warning: argument 7 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-sse2-c24.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:265:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 265 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:284:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 284 | DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7x__sse2_c24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c2-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2-minmax-fp32-sse2-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:752:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 752 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c2__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c2-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2-minmax-fp32-sse2-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:772:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 772 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c2__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c2s4-minmax-fp32-sse2-ld64.c.o [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c2s4-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2s4-minmax-fp32-sse2-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2s4-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:792:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 792 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c2s4__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2s4-minmax-fp32-sse2-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2s4-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:812:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 812 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c2s4__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/tensor/old.cc.o [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c8-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c8-minmax-fp32-sse2-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c8-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:832:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 832 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/tensor/utils.cc.o [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c8-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c8-minmax-fp32-sse2-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c8-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:848:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 848 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c8__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4c2-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2-minmax-fp32-sse2-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:753:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 753 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4c2__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4c2-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2-minmax-fp32-sse2-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:773:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 773 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4c2__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4c2s4-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2s4-minmax-fp32-sse2-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2s4-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:793:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 793 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4c2s4__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4c2s4-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2s4-minmax-fp32-sse2-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2s4-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:813:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 813 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4c2s4__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4c8-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c8-minmax-fp32-sse2-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c8-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:833:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 833 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4c8-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c8-minmax-fp32-sse2-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c8-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:849:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 849 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4c8__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4c2-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2-minmax-fp32-sse2-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:754:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 754 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4c2__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4c2-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2-minmax-fp32-sse2-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:774:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 774 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4c2__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4c2s4-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2s4-minmax-fp32-sse2-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2s4-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:794:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 794 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4c2s4__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4c2s4-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2s4-minmax-fp32-sse2-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2s4-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:814:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 814 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4c2s4__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4c8-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c8-minmax-fp32-sse2-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c8-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:834:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 834 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4c8-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c8-minmax-fp32-sse2-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c8-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:850:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 850 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4c8__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x4c2-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2-minmax-fp32-sse2-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:755:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 755 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_4x4c2__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x4c2-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2-minmax-fp32-sse2-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:775:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 775 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_4x4c2__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x4c2s4-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2s4-minmax-fp32-sse2-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2s4-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:795:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 795 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_4x4c2s4__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x4c2s4-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2s4-minmax-fp32-sse2-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2s4-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:815:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 815 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_4x4c2s4__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4c2-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:505:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 505 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c2__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4c2-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:525:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 525 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c2__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4c2s4-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2s4-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2s4-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:545:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 545 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c2s4__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4c2s4-minmax-fp32-sse2-ld128.c.o [ 44%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/tensor_proto_util.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2s4-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2s4-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:565:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 565 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c2s4__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4c8-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c8-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c8-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:585:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 585 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4c8-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c8-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c8-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:601:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 601 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c8__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4c2-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:506:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 506 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x4c2__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4c2-minmax-fp32-sse2-ld128.c.o [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4c2s4-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:526:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 526 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x4c2__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2s4-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2s4-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:546:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 546 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x4c2s4__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4c2s4-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2s4-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2s4-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:566:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 566 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x4c2s4__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4c8-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c8-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c8-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:586:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 586 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4c8-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c8-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c8-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:602:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 602 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x4c8__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4c2-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:507:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 507 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x4c2__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4c2-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:527:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 527 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x4c2__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4c2s4-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2s4-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2s4-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:547:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 547 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x4c2s4__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4c2s4-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2s4-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2s4-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:567:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 567 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x4c2s4__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4c8-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c8-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c8-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:587:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 587 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4c8-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c8-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c8-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:603:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 603 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x4c8__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x4c2-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:508:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 508 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_4x4c2__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x4c2-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:528:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 528 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_4x4c2__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x4c2s4-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2s4-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2s4-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:548:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 548 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_4x4c2s4__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x4c2s4-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2s4-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2s4-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:568:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 568 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_4x4c2s4__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-requantization/qu8-requantization-fp32-sse2.c.o [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-requantization/qu8-requantization-gemmlowp-sse2.c.o [ 44%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/tensor_util.cc.o [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-requantization/qu8-requantization-rndna-sse2.c.o [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vadd/gen/qu8-vadd-minmax-sse2-mul16-ld64-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-sse2-mul16-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-sse2-mul16-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:36:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 36 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vadd_minmax_ukernel__sse2_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vadd/gen/qu8-vadd-minmax-sse2-mul16-ld64-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-sse2-mul16-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-sse2-mul16-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:37:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 37 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vadd_minmax_ukernel__sse2_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-sse2-mul16-ld64-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-sse2-mul16-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-sse2-mul16-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:74:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 74 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vaddc_minmax_ukernel__sse2_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-sse2-mul16-ld64-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-sse2-mul16-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-sse2-mul16-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:75:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 75 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vaddc_minmax_ukernel__sse2_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vcvt/gen/qu8-vcvt-sse2-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-sse2-x16.c:23:36: warning: argument 4 of type ‘const union xnn_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-sse2-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:397:39: note: previously declared as ‘const union xnn_qu8_cvt_params *’ 397 | const union xnn_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:403:1: note: in expansion of macro ‘DECLARE_QU8_VCVT_UKERNEL_FUNCTION’ 403 | DECLARE_QU8_VCVT_UKERNEL_FUNCTION(xnn_qu8_vcvt_ukernel__sse2_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vcvt/gen/qu8-vcvt-sse2-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-sse2-x32.c:23:36: warning: argument 4 of type ‘const union xnn_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-sse2-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:397:39: note: previously declared as ‘const union xnn_qu8_cvt_params *’ 397 | const union xnn_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:404:1: note: in expansion of macro ‘DECLARE_QU8_VCVT_UKERNEL_FUNCTION’ 404 | DECLARE_QU8_VCVT_UKERNEL_FUNCTION(xnn_qu8_vcvt_ukernel__sse2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-sse2-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-sse2-x16.c:23:38: warning: argument 4 of type ‘const union xnn_qu8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-sse2-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:79:41: note: previously declared as ‘const union xnn_qu8_lrelu_params *’ 79 | const union xnn_qu8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:85:1: note: in expansion of macro ‘DECLARE_QU8_VLRELU_UKERNEL_FUNCTION’ 85 | DECLARE_QU8_VLRELU_UKERNEL_FUNCTION(xnn_qu8_vlrelu_ukernel__sse2_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-sse2-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-sse2-x32.c:23:38: warning: argument 4 of type ‘const union xnn_qu8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-sse2-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:79:41: note: previously declared as ‘const union xnn_qu8_lrelu_params *’ 79 | const union xnn_qu8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:86:1: note: in expansion of macro ‘DECLARE_QU8_VLRELU_UKERNEL_FUNCTION’ 86 | DECLARE_QU8_VLRELU_UKERNEL_FUNCTION(xnn_qu8_vlrelu_ukernel__sse2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-sse2-mul16-ld64-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-sse2-mul16-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-sse2-mul16-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:25:46: note: previously declared as ‘const union xnn_qu8_mul_minmax_params *’ 25 | const union xnn_qu8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:39:1: note: in expansion of macro ‘DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION’ 39 | DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vmul_minmax_fp32_ukernel__sse2_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-sse2-mul16-ld64-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-sse2-mul16-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-sse2-mul16-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:25:46: note: previously declared as ‘const union xnn_qu8_mul_minmax_params *’ 25 | const union xnn_qu8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:40:1: note: in expansion of macro ‘DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION’ 40 | DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vmul_minmax_fp32_ukernel__sse2_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-sse2-mul16-ld64-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-sse2-mul16-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-sse2-mul16-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:25:46: note: previously declared as ‘const union xnn_qu8_mul_minmax_params *’ 25 | const union xnn_qu8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:68:1: note: in expansion of macro ‘DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION’ 68 | DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vmulc_minmax_fp32_ukernel__sse2_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-sse2-mul16-ld64-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-sse2-mul16-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-sse2-mul16-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:25:46: note: previously declared as ‘const union xnn_qu8_mul_minmax_params *’ 25 | const union xnn_qu8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:69:1: note: in expansion of macro ‘DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION’ 69 | DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vmulc_minmax_fp32_ukernel__sse2_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/s8-ibilinear/gen/s8-ibilinear-sse2-c8.c.o [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/s8-ibilinear/gen/s8-ibilinear-sse2-c16.c.o [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/s8-maxpool/s8-maxpool-9p8x-minmax-sse2-c16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/s8-maxpool/s8-maxpool-9p8x-minmax-sse2-c16.c:23:38: warning: argument 9 of type ‘const union xnn_s8_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_s8_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/s8-maxpool/s8-maxpool-9p8x-minmax-sse2-c16.c:10: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/maxpool.h:86:41: note: previously declared as ‘const union xnn_s8_minmax_params *’ 86 | const union xnn_s8_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/maxpool.h:92:1: note: in expansion of macro ‘DECLARE_S8_MAXPOOL_MINMAX_UKERNEL_FUNCTION’ 92 | DECLARE_S8_MAXPOOL_MINMAX_UKERNEL_FUNCTION(xnn_s8_maxpool_minmax_ukernel_9p8x__sse2_c16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/s8-vclamp/s8-vclamp-sse2-x64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/s8-vclamp/s8-vclamp-sse2-x64.c:18:38: warning: argument 4 of type ‘const union xnn_s8_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 18 | const union xnn_s8_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/s8-vclamp/s8-vclamp-sse2-x64.c:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1129:41: note: previously declared as ‘const union xnn_s8_minmax_params *’ 1129 | const union xnn_s8_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1133:1: note: in expansion of macro ‘DECLARE_S8_VCLAMP_UKERNEL_FUNCTION’ 1133 | DECLARE_S8_VCLAMP_UKERNEL_FUNCTION(xnn_s8_vclamp_ukernel__sse2_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/u8-ibilinear/gen/u8-ibilinear-sse2-c8.c.o [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/u8-ibilinear/gen/u8-ibilinear-sse2-c16.c.o [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/u8-maxpool/u8-maxpool-9p8x-minmax-sse2-c16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/u8-maxpool/u8-maxpool-9p8x-minmax-sse2-c16.c:26:38: warning: argument 9 of type ‘const union xnn_u8_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_u8_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/u8-maxpool/u8-maxpool-9p8x-minmax-sse2-c16.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/maxpool.h:68:41: note: previously declared as ‘const union xnn_u8_minmax_params *’ 68 | const union xnn_u8_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/maxpool.h:72:1: note: in expansion of macro ‘DECLARE_U8_MAXPOOL_MINMAX_UKERNEL_FUNCTION’ 72 | DECLARE_U8_MAXPOOL_MINMAX_UKERNEL_FUNCTION(xnn_u8_maxpool_minmax_ukernel_9p8x__sse2_c16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/u8-rmax/u8-rmax-sse2.c.o [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/u8-vclamp/u8-vclamp-sse2-x64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/u8-vclamp/u8-vclamp-sse2-x64.c:18:38: warning: argument 4 of type ‘const union xnn_u8_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 18 | const union xnn_u8_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/u8-vclamp/u8-vclamp-sse2-x64.c:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1143:41: note: previously declared as ‘const union xnn_u8_minmax_params *’ 1143 | const union xnn_u8_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1147:1: note: in expansion of macro ‘DECLARE_U8_VCLAMP_UKERNEL_FUNCTION’ 1147 | DECLARE_U8_VCLAMP_UKERNEL_FUNCTION(xnn_u8_vclamp_ukernel__sse2_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-transposec/gen/x8-transposec-16x16-reuse-mov-sse2.c.o [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-transposec/gen/x8-transposec-16x16-reuse-switch-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-transposec/gen/x8-transposec-16x16-reuse-mov-sse2.c:27:41: warning: argument 7 of type ‘const union xnn_x8_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x8_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-transposec/gen/x8-transposec-16x16-reuse-mov-sse2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:212:44: note: previously declared as ‘const union xnn_x8_transpose_params *’ 212 | const union xnn_x8_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:230:1: note: in expansion of macro ‘DECLARE_X8_TRANSPOSEC_UKERNEL_FUNCTION’ 230 | DECLARE_X8_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x8_transposec_ukernel__16x16_reuse_mov_sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-transposec/gen/x8-transposec-16x16-reuse-switch-sse2.c:27:41: warning: argument 7 of type ‘const union xnn_x8_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x8_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-transposec/gen/x8-transposec-16x16-reuse-switch-sse2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:212:44: note: previously declared as ‘const union xnn_x8_transpose_params *’ 212 | const union xnn_x8_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:233:1: note: in expansion of macro ‘DECLARE_X8_TRANSPOSEC_UKERNEL_FUNCTION’ 233 | DECLARE_X8_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x8_transposec_ukernel__16x16_reuse_switch_sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-zip/x8-zip-x2-sse2.c.o [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-zip/x8-zip-x3-sse2.c.o [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-zip/x8-zip-x4-sse2.c.o [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-zip/x8-zip-xm-sse2.c.o [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x16-transposec/gen/x16-transposec-8x8-multi-mov-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x16-transposec/gen/x16-transposec-8x8-multi-mov-sse2.c:27:42: warning: argument 7 of type ‘const union xnn_x16_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x16_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x16-transposec/gen/x16-transposec-8x8-multi-mov-sse2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:165:45: note: previously declared as ‘const union xnn_x16_transpose_params *’ 165 | const union xnn_x16_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:185:1: note: in expansion of macro ‘DECLARE_X16_TRANSPOSEC_UKERNEL_FUNCTION’ 185 | DECLARE_X16_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x16_transposec_ukernel__8x8_multi_mov_sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x16-transposec/gen/x16-transposec-8x8-multi-switch-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x16-transposec/gen/x16-transposec-8x8-multi-switch-sse2.c:27:42: warning: argument 7 of type ‘const union xnn_x16_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x16_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x16-transposec/gen/x16-transposec-8x8-multi-switch-sse2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:165:45: note: previously declared as ‘const union xnn_x16_transpose_params *’ 165 | const union xnn_x16_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:188:1: note: in expansion of macro ‘DECLARE_X16_TRANSPOSEC_UKERNEL_FUNCTION’ 188 | DECLARE_X16_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x16_transposec_ukernel__8x8_multi_switch_sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x16-transposec/gen/x16-transposec-8x8-reuse-mov-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x16-transposec/gen/x16-transposec-8x8-reuse-mov-sse2.c:27:42: warning: argument 7 of type ‘const union xnn_x16_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x16_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x16-transposec/gen/x16-transposec-8x8-reuse-mov-sse2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:165:45: note: previously declared as ‘const union xnn_x16_transpose_params *’ 165 | const union xnn_x16_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:192:1: note: in expansion of macro ‘DECLARE_X16_TRANSPOSEC_UKERNEL_FUNCTION’ 192 | DECLARE_X16_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x16_transposec_ukernel__8x8_reuse_mov_sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x16-transposec/gen/x16-transposec-8x8-reuse-multi-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x16-transposec/gen/x16-transposec-8x8-reuse-multi-sse2.c:27:42: warning: argument 7 of type ‘const union xnn_x16_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x16_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x16-transposec/gen/x16-transposec-8x8-reuse-multi-sse2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:165:45: note: previously declared as ‘const union xnn_x16_transpose_params *’ 165 | const union xnn_x16_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:195:1: note: in expansion of macro ‘DECLARE_X16_TRANSPOSEC_UKERNEL_FUNCTION’ 195 | DECLARE_X16_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x16_transposec_ukernel__8x8_reuse_multi_sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x16-transposec/gen/x16-transposec-8x8-reuse-switch-sse2.c.o [ 44%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/traditionalml/defs.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x16-transposec/gen/x16-transposec-8x8-reuse-switch-sse2.c:27:42: warning: argument 7 of type ‘const union xnn_x16_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x16_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x16-transposec/gen/x16-transposec-8x8-reuse-switch-sse2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:165:45: note: previously declared as ‘const union xnn_x16_transpose_params *’ 165 | const union xnn_x16_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:198:1: note: in expansion of macro ‘DECLARE_X16_TRANSPOSEC_UKERNEL_FUNCTION’ 198 | DECLARE_X16_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x16_transposec_ukernel__8x8_reuse_switch_sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x16-transposec/x16-transposec-4x8-sse2.c.o [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-4x4-multi-mov-sse2.c.o [ 44%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/traditionalml/old.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x32-transposec/gen/x32-transposec-4x4-multi-mov-sse2.c:27:42: warning: argument 7 of type ‘const union xnn_x32_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x32_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x32-transposec/gen/x32-transposec-4x4-multi-mov-sse2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:81:45: note: previously declared as ‘const union xnn_x32_transpose_params *’ 81 | const union xnn_x32_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:106:1: note: in expansion of macro ‘DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION’ 106 | DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x32_transposec_ukernel__4x4_multi_mov_sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-4x4-multi-multi-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x32-transposec/gen/x32-transposec-4x4-multi-multi-sse2.c:27:42: warning: argument 7 of type ‘const union xnn_x32_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x32_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x32-transposec/gen/x32-transposec-4x4-multi-multi-sse2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:81:45: note: previously declared as ‘const union xnn_x32_transpose_params *’ 81 | const union xnn_x32_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:109:1: note: in expansion of macro ‘DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION’ 109 | DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x32_transposec_ukernel__4x4_multi_multi_sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-4x4-multi-switch-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x32-transposec/gen/x32-transposec-4x4-multi-switch-sse2.c:27:42: warning: argument 7 of type ‘const union xnn_x32_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x32_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x32-transposec/gen/x32-transposec-4x4-multi-switch-sse2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:81:45: note: previously declared as ‘const union xnn_x32_transpose_params *’ 81 | const union xnn_x32_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:112:1: note: in expansion of macro ‘DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION’ 112 | DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x32_transposec_ukernel__4x4_multi_switch_sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-4x4-reuse-mov-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x32-transposec/gen/x32-transposec-4x4-reuse-mov-sse2.c:27:42: warning: argument 7 of type ‘const union xnn_x32_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x32_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x32-transposec/gen/x32-transposec-4x4-reuse-mov-sse2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:81:45: note: previously declared as ‘const union xnn_x32_transpose_params *’ 81 | const union xnn_x32_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:117:1: note: in expansion of macro ‘DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION’ 117 | DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x32_transposec_ukernel__4x4_reuse_mov_sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-4x4-reuse-multi-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x32-transposec/gen/x32-transposec-4x4-reuse-multi-sse2.c:27:42: warning: argument 7 of type ‘const union xnn_x32_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x32_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x32-transposec/gen/x32-transposec-4x4-reuse-multi-sse2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:81:45: note: previously declared as ‘const union xnn_x32_transpose_params *’ 81 | const union xnn_x32_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:120:1: note: in expansion of macro ‘DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION’ 120 | DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x32_transposec_ukernel__4x4_reuse_multi_sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-4x4-reuse-switch-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x32-transposec/gen/x32-transposec-4x4-reuse-switch-sse2.c:27:42: warning: argument 7 of type ‘const union xnn_x32_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x32_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x32-transposec/gen/x32-transposec-4x4-reuse-switch-sse2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:81:45: note: previously declared as ‘const union xnn_x32_transpose_params *’ 81 | const union xnn_x32_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:123:1: note: in expansion of macro ‘DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION’ 123 | DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x32_transposec_ukernel__4x4_reuse_switch_sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-unpool/x32-unpool-sse2.c.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_prod_i8.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sum_bf16.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sum_f64.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sum_f32.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sum_f16.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sum_u64.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sum_i64.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sum_u32.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sum_u8.o [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-zip/x32-zip-x2-sse2.c.o [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-zip/x32-zip-x3-sse2.c.o [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-zip/x32-zip-x4-sse2.c.o [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-zip/x32-zip-xm-sse2.c.o [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-2x2-multi-mov-sse2.c.o [ 45%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/training/defs.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x64-transposec/gen/x64-transposec-2x2-multi-mov-sse2.c:27:42: warning: argument 7 of type ‘const union xnn_x64_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x64_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x64-transposec/gen/x64-transposec-2x2-multi-mov-sse2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:40:45: note: previously declared as ‘const union xnn_x64_transpose_params *’ 40 | const union xnn_x64_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:47:1: note: in expansion of macro ‘DECLARE_X64_TRANSPOSEC_UKERNEL_FUNCTION’ 47 | DECLARE_X64_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x64_transposec_ukernel__2x2_multi_mov_sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-2x2-multi-multi-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x64-transposec/gen/x64-transposec-2x2-multi-multi-sse2.c:27:42: warning: argument 7 of type ‘const union xnn_x64_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x64_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x64-transposec/gen/x64-transposec-2x2-multi-multi-sse2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:40:45: note: previously declared as ‘const union xnn_x64_transpose_params *’ 40 | const union xnn_x64_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:49:1: note: in expansion of macro ‘DECLARE_X64_TRANSPOSEC_UKERNEL_FUNCTION’ 49 | DECLARE_X64_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x64_transposec_ukernel__2x2_multi_multi_sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-2x2-multi-switch-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x64-transposec/gen/x64-transposec-2x2-multi-switch-sse2.c:27:42: warning: argument 7 of type ‘const union xnn_x64_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x64_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x64-transposec/gen/x64-transposec-2x2-multi-switch-sse2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:40:45: note: previously declared as ‘const union xnn_x64_transpose_params *’ 40 | const union xnn_x64_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:51:1: note: in expansion of macro ‘DECLARE_X64_TRANSPOSEC_UKERNEL_FUNCTION’ 51 | DECLARE_X64_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x64_transposec_ukernel__2x2_multi_switch_sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-2x2-reuse-mov-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x64-transposec/gen/x64-transposec-2x2-reuse-mov-sse2.c:27:42: warning: argument 7 of type ‘const union xnn_x64_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x64_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x64-transposec/gen/x64-transposec-2x2-reuse-mov-sse2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:40:45: note: previously declared as ‘const union xnn_x64_transpose_params *’ 40 | const union xnn_x64_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:54:1: note: in expansion of macro ‘DECLARE_X64_TRANSPOSEC_UKERNEL_FUNCTION’ 54 | DECLARE_X64_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x64_transposec_ukernel__2x2_reuse_mov_sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-2x2-reuse-multi-sse2.c.o [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-2x2-reuse-switch-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x64-transposec/gen/x64-transposec-2x2-reuse-multi-sse2.c:27:42: warning: argument 7 of type ‘const union xnn_x64_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x64_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x64-transposec/gen/x64-transposec-2x2-reuse-multi-sse2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:40:45: note: previously declared as ‘const union xnn_x64_transpose_params *’ 40 | const union xnn_x64_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:56:1: note: in expansion of macro ‘DECLARE_X64_TRANSPOSEC_UKERNEL_FUNCTION’ 56 | DECLARE_X64_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x64_transposec_ukernel__2x2_reuse_multi_sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/shape_inference/implementation.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x64-transposec/gen/x64-transposec-2x2-reuse-switch-sse2.c:27:42: warning: argument 7 of type ‘const union xnn_x64_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x64_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x64-transposec/gen/x64-transposec-2x2-reuse-switch-sse2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:40:45: note: previously declared as ‘const union xnn_x64_transpose_params *’ 40 | const union xnn_x64_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:58:1: note: in expansion of macro ‘DECLARE_X64_TRANSPOSEC_UKERNEL_FUNCTION’ 58 | DECLARE_X64_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x64_transposec_ukernel__2x2_reuse_switch_sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/xx-fill/xx-fill-sse2-x64.c.o [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/xx-pad/xx-pad-sse2.c.o [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-1x4-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-1x4-acc2.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-1x4-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1166:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1166 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__ssse3_1x4_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-1x4-acc3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-1x4-acc3.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-1x4-acc3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1167:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1167 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__ssse3_1x4_acc3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-1x4-acc4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-1x4-acc4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-1x4-acc4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1168:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1168 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__ssse3_1x4_acc4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-1x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-1x4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-1x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1165:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1165 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__ssse3_1x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-2x4-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-2x4-acc2.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-2x4-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1170:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1170 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__ssse3_2x4_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-2x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-2x4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-2x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1169:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1169 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__ssse3_2x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-3x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-3x4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-3x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1171:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1171 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__ssse3_3x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-4x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-4x4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-4x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1172:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1172 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__ssse3_4x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-5x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-5x4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-5x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1173:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1173 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__ssse3_5x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-6x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-6x4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-6x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1174:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1174 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__ssse3_6x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-ssse3-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-ssse3-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-ssse3-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1413:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1413 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c8__ssse3_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-ssse3-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-ssse3-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-ssse3-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1433:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1433 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c8__ssse3_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c8-xw-minmax-fp32-ssse3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-xw-minmax-fp32-ssse3.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-xw-minmax-fp32-ssse3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1463:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1463 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_1x4c8__ssse3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-ssse3-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-ssse3-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-ssse3-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1414:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1414 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c8__ssse3_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-ssse3-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-ssse3-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-ssse3-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1434:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1434 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c8__ssse3_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c8-xw-minmax-fp32-ssse3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-xw-minmax-fp32-ssse3.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-xw-minmax-fp32-ssse3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1464:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1464 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_2x4c8__ssse3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-ssse3-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-ssse3-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-ssse3-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1415:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1415 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c8__ssse3_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-ssse3-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-ssse3-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-ssse3-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1435:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1435 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c8__ssse3_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c8-xw-minmax-fp32-ssse3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-xw-minmax-fp32-ssse3.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-xw-minmax-fp32-ssse3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1465:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1465 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_3x4c8__ssse3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-ssse3-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-ssse3-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-ssse3-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1159:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1159 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c8__ssse3_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-ssse3-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-ssse3-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-ssse3-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1179:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1179 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c8__ssse3_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-ssse3-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-ssse3-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-ssse3-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1160:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1160 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c8__ssse3_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-ssse3-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-ssse3-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-ssse3-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1180:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1180 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c8__ssse3_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-ssse3-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-ssse3-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-ssse3-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1161:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1161 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c8__ssse3_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-ssse3-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-ssse3-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-ssse3-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1181:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1181 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c8__ssse3_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-requantization/qs8-requantization-gemmlowp-ssse3.c.o [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-requantization/qs8-requantization-rndna-ssse3.c.o [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vcvt/gen/qs8-vcvt-ssse3-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-ssse3-x16.c:23:36: warning: argument 4 of type ‘const union xnn_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-ssse3-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:304:39: note: previously declared as ‘const union xnn_qs8_cvt_params *’ 304 | const union xnn_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:313:1: note: in expansion of macro ‘DECLARE_QS8_VCVT_UKERNEL_FUNCTION’ 313 | DECLARE_QS8_VCVT_UKERNEL_FUNCTION(xnn_qs8_vcvt_ukernel__ssse3_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vcvt/gen/qs8-vcvt-ssse3-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-ssse3-x32.c:23:36: warning: argument 4 of type ‘const union xnn_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-ssse3-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:304:39: note: previously declared as ‘const union xnn_qs8_cvt_params *’ 304 | const union xnn_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:314:1: note: in expansion of macro ‘DECLARE_QS8_VCVT_UKERNEL_FUNCTION’ 314 | DECLARE_QS8_VCVT_UKERNEL_FUNCTION(xnn_qs8_vcvt_ukernel__ssse3_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vlrelu/gen/qs8-vlrelu-ssse3-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-ssse3-x16.c:23:38: warning: argument 4 of type ‘const union xnn_qs8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-ssse3-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:24:41: note: previously declared as ‘const union xnn_qs8_lrelu_params *’ 24 | const union xnn_qs8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:33:1: note: in expansion of macro ‘DECLARE_QS8_VLRELU_UKERNEL_FUNCTION’ 33 | DECLARE_QS8_VLRELU_UKERNEL_FUNCTION(xnn_qs8_vlrelu_ukernel__ssse3_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vlrelu/gen/qs8-vlrelu-ssse3-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-ssse3-x32.c:23:38: warning: argument 4 of type ‘const union xnn_qs8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-ssse3-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:24:41: note: previously declared as ‘const union xnn_qs8_lrelu_params *’ 24 | const union xnn_qs8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:34:1: note: in expansion of macro ‘DECLARE_QS8_VLRELU_UKERNEL_FUNCTION’ 34 | DECLARE_QS8_VLRELU_UKERNEL_FUNCTION(xnn_qs8_vlrelu_ukernel__ssse3_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-requantization/qu8-requantization-gemmlowp-ssse3.c.o [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-requantization/qu8-requantization-rndna-ssse3.c.o [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vcvt/gen/qu8-vcvt-ssse3-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-ssse3-x16.c:23:36: warning: argument 4 of type ‘const union xnn_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-ssse3-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:397:39: note: previously declared as ‘const union xnn_qu8_cvt_params *’ 397 | const union xnn_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:406:1: note: in expansion of macro ‘DECLARE_QU8_VCVT_UKERNEL_FUNCTION’ 406 | DECLARE_QU8_VCVT_UKERNEL_FUNCTION(xnn_qu8_vcvt_ukernel__ssse3_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vcvt/gen/qu8-vcvt-ssse3-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-ssse3-x32.c:23:36: warning: argument 4 of type ‘const union xnn_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-ssse3-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:397:39: note: previously declared as ‘const union xnn_qu8_cvt_params *’ 397 | const union xnn_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:407:1: note: in expansion of macro ‘DECLARE_QU8_VCVT_UKERNEL_FUNCTION’ 407 | DECLARE_QU8_VCVT_UKERNEL_FUNCTION(xnn_qu8_vcvt_ukernel__ssse3_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-ssse3-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-ssse3-x16.c:23:38: warning: argument 4 of type ‘const union xnn_qu8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-ssse3-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:79:41: note: previously declared as ‘const union xnn_qu8_lrelu_params *’ 79 | const union xnn_qu8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:88:1: note: in expansion of macro ‘DECLARE_QU8_VLRELU_UKERNEL_FUNCTION’ 88 | DECLARE_QU8_VLRELU_UKERNEL_FUNCTION(xnn_qu8_vlrelu_ukernel__ssse3_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-ssse3-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-ssse3-x32.c:23:38: warning: argument 4 of type ‘const union xnn_qu8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-ssse3-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:79:41: note: previously declared as ‘const union xnn_qu8_lrelu_params *’ 79 | const union xnn_qu8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:89:1: note: in expansion of macro ‘DECLARE_QU8_VLRELU_UKERNEL_FUNCTION’ 89 | DECLARE_QU8_VLRELU_UKERNEL_FUNCTION(xnn_qu8_vlrelu_ukernel__ssse3_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-ssse3-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-ssse3-x16.c:23:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 23 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-ssse3-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:39:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 39 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__ssse3_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-ssse3-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-ssse3-x32.c:23:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 23 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-ssse3-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:40:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 40 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__ssse3_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x24-transposec/x24-transposec-4x4-ssse3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x24-transposec/x24-transposec-4x4-ssse3.c:22:42: warning: argument 7 of type ‘const union xnn_x24_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_x24_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x24-transposec/x24-transposec-4x4-ssse3.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:143:45: note: previously declared as ‘const union xnn_x24_transpose_params *’ 143 | const union xnn_x24_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:155:1: note: in expansion of macro ‘DECLARE_X24_TRANSPOSEC_UKERNEL_FUNCTION’ 155 | DECLARE_X24_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x24_transposec_ukernel__4x4_ssse3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse41-int16-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse41-int16-x8.c:22:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse41-int16-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:49:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 49 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__sse41_int16_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse41-int16-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse41-int16-x16.c:22:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse41-int16-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:50:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 50 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__sse41_int16_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse41-int16-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse41-int16-x24.c:22:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse41-int16-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:51:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 51 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__sse41_int16_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse41-int16-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse41-int16-x32.c:22:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse41-int16-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:52:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 52 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__sse41_int16_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse41-int32-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse41-int32-x8.c:22:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse41-int32-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:54:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 54 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__sse41_int32_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse41-int32-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse41-int32-x16.c:22:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse41-int32-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:55:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 55 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__sse41_int32_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse41-int32-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse41-int32-x24.c:22:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse41-int32-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:56:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 56 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__sse41_int32_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse41-int32-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse41-int32-x32.c:22:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse41-int32-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:57:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 57 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__sse41_int32_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse41-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse41-x8.c:23:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse41-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:121:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 121 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__sse41_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse41-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse41-x16.c:23:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse41-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:122:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 122 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__sse41_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse41-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse41-x24.c:23:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse41-x24.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:123:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 123 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__sse41_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse41-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse41-x32.c:23:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse41-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:124:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 124 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__sse41_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-prelu/gen/f32-prelu-sse41-2x4.c.o [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-prelu/gen/f32-prelu-sse41-2x8.c.o [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse41-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse41-x8.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse41-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:180:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 180 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__sse41_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse41-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse41-x16.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse41-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:181:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 181 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__sse41_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse41-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse41-x24.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse41-x24.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:182:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 182 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__sse41_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse41-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse41-x32.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse41-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:183:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 183 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__sse41_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse41-rr2-lut16-p3-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse41-rr2-lut16-p3-x4.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse41-rr2-lut16-p3-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:311:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 311 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__sse41_rr2_lut16_p3_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse41-rr2-lut16-p3-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse41-rr2-lut16-p3-x8.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse41-rr2-lut16-p3-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:312:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 312 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__sse41_rr2_lut16_p3_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse41-rr2-lut16-p3-x12.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse41-rr2-lut16-p3-x12.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse41-rr2-lut16-p3-x12.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:313:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 313 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__sse41_rr2_lut16_p3_x12) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse41-rr2-lut16-p3-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse41-rr2-lut16-p3-x16.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse41-rr2-lut16-p3-x16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:314:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 314 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__sse41_rr2_lut16_p3_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse41-rr2-lut16-p3-x20.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse41-rr2-lut16-p3-x20.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse41-rr2-lut16-p3-x20.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:315:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 315 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__sse41_rr2_lut16_p3_x20) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse41-rr2-lut16-p3-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse41-rr2-lut16-p3-x24.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse41-rr2-lut16-p3-x24.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:316:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 316 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__sse41_rr2_lut16_p3_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse41-rr2-p6-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse41-rr2-p6-x4.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse41-rr2-p6-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:318:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 318 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__sse41_rr2_p6_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse41-rr2-p6-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse41-rr2-p6-x8.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse41-rr2-p6-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:319:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 319 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__sse41_rr2_p6_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse41-rr2-p6-x12.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse41-rr2-p6-x12.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse41-rr2-p6-x12.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:320:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 320 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__sse41_rr2_p6_x12) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse41-rr2-p6-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse41-rr2-p6-x16.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse41-rr2-p6-x16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:321:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 321 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__sse41_rr2_p6_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse41-rr2-p6-x20.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse41-rr2-p6-x20.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse41-rr2-p6-x20.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:322:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 322 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__sse41_rr2_p6_x20) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse41-rr2-p6-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse41-rr2-p6-x24.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse41-rr2-p6-x24.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:323:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 323 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__sse41_rr2_p6_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vlrelu/gen/f32-vlrelu-sse41-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vlrelu/gen/f32-vlrelu-sse41-x4.c:22:38: warning: argument 4 of type ‘const union xnn_f32_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vlrelu/gen/f32-vlrelu-sse41-x4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:548:41: note: previously declared as ‘const union xnn_f32_lrelu_params *’ 548 | const union xnn_f32_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:560:1: note: in expansion of macro ‘DECLARE_F32_VLRELU_UKERNEL_FUNCTION’ 560 | DECLARE_F32_VLRELU_UKERNEL_FUNCTION(xnn_f32_vlrelu_ukernel__sse41_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vlrelu/gen/f32-vlrelu-sse41-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vlrelu/gen/f32-vlrelu-sse41-x8.c:22:38: warning: argument 4 of type ‘const union xnn_f32_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vlrelu/gen/f32-vlrelu-sse41-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:548:41: note: previously declared as ‘const union xnn_f32_lrelu_params *’ 548 | const union xnn_f32_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:561:1: note: in expansion of macro ‘DECLARE_F32_VLRELU_UKERNEL_FUNCTION’ 561 | DECLARE_F32_VLRELU_UKERNEL_FUNCTION(xnn_f32_vlrelu_ukernel__sse41_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndd-sse41-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndd-sse41-x4.c:23:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndd-sse41-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:723:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 723 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndd_ukernel__sse41_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndd-sse41-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndd-sse41-x8.c:23:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndd-sse41-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:724:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 724 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndd_ukernel__sse41_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndne-sse41-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndne-sse41-x4.c:23:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndne-sse41-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:669:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 669 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndne_ukernel__sse41_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndne-sse41-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndne-sse41-x8.c:23:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndne-sse41-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:670:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 670 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndne_ukernel__sse41_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndu-sse41-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndu-sse41-x4.c:23:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndu-sse41-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:705:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 705 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndu_ukernel__sse41_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndu-sse41-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndu-sse41-x8.c:23:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndu-sse41-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:706:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 706 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndu_ukernel__sse41_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndz-sse41-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndz-sse41-x4.c:23:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndz-sse41-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:687:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 687 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndz_ukernel__sse41_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndz-sse41-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndz-sse41-x8.c:23:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndz-sse41-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:688:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 688 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndz_ukernel__sse41_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-lut64-p2-div-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-lut64-p2-div-x4.c:24:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-lut64-p2-div-x4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:926:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 926 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__sse41_rr2_lut64_p2_div_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-lut64-p2-div-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-lut64-p2-div-x8.c:24:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-lut64-p2-div-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:927:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 927 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__sse41_rr2_lut64_p2_div_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-lut64-p2-div-x12.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-lut64-p2-div-x12.c:24:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-lut64-p2-div-x12.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:928:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 928 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__sse41_rr2_lut64_p2_div_x12) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-lut64-p2-div-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-lut64-p2-div-x16.c:24:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-lut64-p2-div-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:929:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 929 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__sse41_rr2_lut64_p2_div_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-lut64-p2-div-x20.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-lut64-p2-div-x20.c:24:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-lut64-p2-div-x20.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:930:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 930 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__sse41_rr2_lut64_p2_div_x20) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-lut64-p2-div-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-lut64-p2-div-x24.c:24:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/version_converter/convert.cc.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-lut64-p2-div-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:931:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 931 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__sse41_rr2_lut64_p2_div_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-p5-div-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-p5-div-x4.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-p5-div-x4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:912:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 912 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__sse41_rr2_p5_div_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-p5-div-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-p5-div-x8.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-p5-div-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:913:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 913 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__sse41_rr2_p5_div_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-p5-div-x12.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-p5-div-x12.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-p5-div-x12.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:914:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 914 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__sse41_rr2_p5_div_x12) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-p5-div-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-p5-div-x16.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-p5-div-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:915:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 915 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__sse41_rr2_p5_div_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-p5-div-x20.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-p5-div-x20.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-p5-div-x20.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:916:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 916 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__sse41_rr2_p5_div_x20) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-p5-div-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-p5-div-x24.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-p5-div-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:917:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 917 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__sse41_rr2_p5_div_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/cvt-f16-f32-sse41-int16.c.o [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/cvt-f16-f32-sse41-int32.c.o [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/cvt-f32-f16-sse41.c.o [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/roundd-sse41.c.o [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/roundne-sse41.c.o [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/roundu-sse41.c.o [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/roundz-sse41.c.o [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-3p8c-minmax-fp32-sse41-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-3p8c-minmax-fp32-sse41-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-3p8c-minmax-fp32-sse41-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:946:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 946 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_3p8c__sse41_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-sse41-mul16-add16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-sse41-mul16-add16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-sse41-mul16-add16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:970:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 970 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p8c__sse41_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-sse41-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-sse41-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-sse41-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:966:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 966 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p8c__sse41_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-sse41-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-sse41-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-sse41-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:992:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 992 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p8c__sse41_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-sse41-mul16-add16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-sse41-mul16-add16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-sse41-mul16-add16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:971:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 971 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p16c__sse41_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-sse41-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-sse41-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-sse41-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:967:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 967 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p16c__sse41_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-sse41-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-sse41-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-sse41-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:993:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 993 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p16c__sse41_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p24c-minmax-fp32-sse41-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p24c-minmax-fp32-sse41-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p24c-minmax-fp32-sse41-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:968:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 968 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p24c__sse41_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p24c-minmax-fp32-sse41-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p24c-minmax-fp32-sse41-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p24c-minmax-fp32-sse41-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:994:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 994 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p24c__sse41_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-sse41-mul16-add16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-sse41-mul16-add16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-sse41-mul16-add16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1047:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1047 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p8c__sse41_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-sse41-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-sse41-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-sse41-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1043:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1043 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p8c__sse41_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-sse41-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-sse41-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-sse41-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1069:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1069 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p8c__sse41_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-sse41-mul16-add16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-sse41-mul16-add16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-sse41-mul16-add16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1048:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1048 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p16c__sse41_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-sse41-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-sse41-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-sse41-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1044:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1044 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p16c__sse41_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Built target dnnl_cpu [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-sse41-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-sse41-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-sse41-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1070:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1070 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p16c__sse41_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p24c-minmax-fp32-sse41-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p24c-minmax-fp32-sse41-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p24c-minmax-fp32-sse41-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1045:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1045 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p24c__sse41_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p24c-minmax-fp32-sse41-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p24c-minmax-fp32-sse41-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p24c-minmax-fp32-sse41-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1071:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1071 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p24c__sse41_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4c2-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2-minmax-fp32-sse41-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1788:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1788 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c2__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4c2-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2-minmax-fp32-sse41-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1808:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1808 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c2__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4c2s4-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2s4-minmax-fp32-sse41-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2s4-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1828:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1828 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c2s4__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4c2s4-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2s4-minmax-fp32-sse41-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2s4-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1848:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1848 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c2s4__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4c8-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c8-minmax-fp32-sse41-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c8-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1867:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1867 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4c8-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c8-minmax-fp32-sse41-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c8-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1883:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1883 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c8__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4c2-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2-minmax-fp32-sse41-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1789:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1789 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4c2__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4c2-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2-minmax-fp32-sse41-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1809:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1809 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4c2__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4c2s4-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2s4-minmax-fp32-sse41-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2s4-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1829:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1829 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4c2s4__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4c2s4-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2s4-minmax-fp32-sse41-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2s4-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1849:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1849 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4c2s4__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4c8-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c8-minmax-fp32-sse41-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c8-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1868:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1868 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4c8-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c8-minmax-fp32-sse41-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c8-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1884:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1884 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4c8__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4c2-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2-minmax-fp32-sse41-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1790:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1790 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4c2__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4c2-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2-minmax-fp32-sse41-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1810:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1810 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4c2__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4c2s4-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2s4-minmax-fp32-sse41-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2s4-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1830:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1830 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4c2s4__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4c2s4-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2s4-minmax-fp32-sse41-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2s4-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1850:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1850 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4c2s4__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4c8-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c8-minmax-fp32-sse41-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c8-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1869:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1869 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4c8-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c8-minmax-fp32-sse41-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c8-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1885:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1885 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4c8__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-4x4c2-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2-minmax-fp32-sse41-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1791:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1791 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_4x4c2__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-4x4c2-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2-minmax-fp32-sse41-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1811:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1811 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_4x4c2__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-4x4c2s4-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2s4-minmax-fp32-sse41-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2s4-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1831:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1831 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_4x4c2s4__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-4x4c2s4-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2s4-minmax-fp32-sse41-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2s4-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1851:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1851 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_4x4c2s4__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4c2-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1457:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1457 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c2__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4c2-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1477:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1477 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c2__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4c2s4-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2s4-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2s4-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1497:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1497 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c2s4__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4c2s4-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2s4-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2s4-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1517:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1517 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c2s4__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4c8-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c8-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c8-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1536:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1536 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4c8-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c8-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c8-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1552:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1552 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c8__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4c2-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1458:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1458 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x4c2__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4c2-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1478:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1478 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x4c2__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4c2s4-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2s4-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2s4-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1498:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1498 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x4c2s4__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4c2s4-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2s4-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2s4-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1518:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1518 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x4c2s4__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4c8-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c8-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c8-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1537:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1537 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4c8-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c8-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c8-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1553:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1553 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x4c8__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4c2-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1459:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1459 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x4c2__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4c2-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1479:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1479 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x4c2__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4c2s4-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2s4-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2s4-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1499:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1499 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x4c2s4__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4c2s4-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2s4-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2s4-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1519:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1519 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x4c2s4__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4c8-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c8-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c8-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1538:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1538 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4c8-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c8-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c8-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1554:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1554 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x4c8__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-4x4c2-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1460:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1460 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_4x4c2__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-4x4c2-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1480:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1480 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_4x4c2__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-4x4c2s4-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2s4-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2s4-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1500:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1500 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_4x4c2s4__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-4x4c2s4-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2s4-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2s4-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1520:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1520 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_4x4c2s4__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-sse41-mul16-add16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-sse41-mul16-add16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-sse41-mul16-add16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:706:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 706 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p8c__sse41_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-sse41-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-sse41-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-sse41-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:702:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 702 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p8c__sse41_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-sse41-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-sse41-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-sse41-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:728:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 728 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p8c__sse41_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-sse41-mul16-add16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-sse41-mul16-add16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-sse41-mul16-add16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:707:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 707 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p16c__sse41_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-sse41-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-sse41-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-sse41-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:703:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 703 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p16c__sse41_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-sse41-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-sse41-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-sse41-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:729:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 729 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p16c__sse41_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p24c-minmax-fp32-sse41-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p24c-minmax-fp32-sse41-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p24c-minmax-fp32-sse41-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:704:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 704 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p24c__sse41_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p24c-minmax-fp32-sse41-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p24c-minmax-fp32-sse41-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p24c-minmax-fp32-sse41-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:730:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 730 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p24c__sse41_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-sse41-mul16-add16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-sse41-mul16-add16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-sse41-mul16-add16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:802:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 802 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p8c__sse41_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-sse41-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-sse41-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-sse41-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:798:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 798 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p8c__sse41_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-sse41-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-sse41-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-sse41-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:824:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 824 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p8c__sse41_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-sse41-mul16-add16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-sse41-mul16-add16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-sse41-mul16-add16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:803:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 803 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p16c__sse41_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-sse41-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-sse41-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-sse41-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:799:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 799 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p16c__sse41_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-sse41-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-sse41-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-sse41-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:825:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 825 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p16c__sse41_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p24c-minmax-fp32-sse41-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p24c-minmax-fp32-sse41-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p24c-minmax-fp32-sse41-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:800:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 800 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p24c__sse41_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p24c-minmax-fp32-sse41-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p24c-minmax-fp32-sse41-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p24c-minmax-fp32-sse41-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:826:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 826 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p24c__sse41_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse41-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse41-x8.c:23:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse41-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:361:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 361 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__sse41_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse41-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse41-x16.c:23:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse41-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:362:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 362 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__sse41_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse41-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse41-x24.c:23:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse41-x24.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:363:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 363 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__sse41_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse41-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse41-x32.c:23:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse41-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:364:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 364 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__sse41_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-sse41-c8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-sse41-c8.c:27:47: warning: argument 8 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-sse41-c8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:111:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 111 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:132:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 132 | DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7p7x__sse41_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-sse41-c16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-sse41-c16.c:27:47: warning: argument 8 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-sse41-c16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:111:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 111 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:133:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 133 | DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7p7x__sse41_c16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-sse41-c24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-sse41-c24.c:27:47: warning: argument 8 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-sse41-c24.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:111:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 111 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:134:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 134 | DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7p7x__sse41_c24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-sse41-c8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-sse41-c8.c:25:47: warning: argument 7 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-sse41-c8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:162:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 162 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:183:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 183 | DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7x__sse41_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-sse41-c16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-sse41-c16.c:25:47: warning: argument 7 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-sse41-c16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:162:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 162 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:184:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 184 | DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7x__sse41_c16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-sse41-c24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-sse41-c24.c:25:47: warning: argument 7 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-sse41-c24.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:162:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 162 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:185:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 185 | DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7x__sse41_c24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c2-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2-minmax-fp32-sse41-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1334:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1334 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c2__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c2-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2-minmax-fp32-sse41-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1354:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1354 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c2__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c2-xw-minmax-fp32-sse41.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2-xw-minmax-fp32-sse41.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2-xw-minmax-fp32-sse41.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1467:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1467 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_1x4c2__sse41) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-minmax-fp32-sse41-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1374:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1374 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c2s4__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-minmax-fp32-sse41-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1394:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1394 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c2s4__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-xw-minmax-fp32-sse41.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-xw-minmax-fp32-sse41.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-xw-minmax-fp32-sse41.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1472:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1472 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_1x4c2s4__sse41) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-sse41-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1417:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1417 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-sse41-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1437:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1437 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c8__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c8-xw-minmax-fp32-sse41.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-xw-minmax-fp32-sse41.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-xw-minmax-fp32-sse41.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1477:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1477 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_1x4c8__sse41) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c2-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2-minmax-fp32-sse41-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1335:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1335 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c2__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c2-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2-minmax-fp32-sse41-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1355:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1355 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c2__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c2-xw-minmax-fp32-sse41.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2-xw-minmax-fp32-sse41.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2-xw-minmax-fp32-sse41.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1468:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1468 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_2x4c2__sse41) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-minmax-fp32-sse41-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1375:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1375 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c2s4__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-minmax-fp32-sse41-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1395:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1395 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c2s4__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-xw-minmax-fp32-sse41.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-xw-minmax-fp32-sse41.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-xw-minmax-fp32-sse41.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1473:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1473 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_2x4c2s4__sse41) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-sse41-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1418:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1418 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-sse41-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1438:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1438 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c8__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c8-xw-minmax-fp32-sse41.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-xw-minmax-fp32-sse41.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-xw-minmax-fp32-sse41.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1478:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1478 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_2x4c8__sse41) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c2-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2-minmax-fp32-sse41-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1336:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1336 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c2__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c2-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2-minmax-fp32-sse41-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1356:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1356 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c2__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c2-xw-minmax-fp32-sse41.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2-xw-minmax-fp32-sse41.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2-xw-minmax-fp32-sse41.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1469:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1469 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_3x4c2__sse41) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-minmax-fp32-sse41-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1376:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1376 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c2s4__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-minmax-fp32-sse41-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1396:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1396 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c2s4__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-xw-minmax-fp32-sse41.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-xw-minmax-fp32-sse41.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-xw-minmax-fp32-sse41.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1474:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1474 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_3x4c2s4__sse41) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-sse41-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1419:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1419 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-sse41-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1439:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1439 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c8__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c8-xw-minmax-fp32-sse41.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-xw-minmax-fp32-sse41.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-xw-minmax-fp32-sse41.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1479:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1479 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_3x4c8__sse41) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4c2-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2-minmax-fp32-sse41-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1337:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1337 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_4x4c2__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4c2-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2-minmax-fp32-sse41-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1357:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1357 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_4x4c2__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4c2-xw-minmax-fp32-sse41.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2-xw-minmax-fp32-sse41.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2-xw-minmax-fp32-sse41.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1470:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1470 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_4x4c2__sse41) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-minmax-fp32-sse41-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1377:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1377 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_4x4c2s4__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-minmax-fp32-sse41-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1397:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1397 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_4x4c2s4__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-xw-minmax-fp32-sse41.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-xw-minmax-fp32-sse41.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-xw-minmax-fp32-sse41.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1475:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1475 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_4x4c2s4__sse41) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4c2-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1080:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1080 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c2__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4c2-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1100:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1100 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c2__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4c2s4-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2s4-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2s4-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1120:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1120 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c2s4__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4c2s4-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2s4-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2s4-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1140:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1140 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c2s4__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1163:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1163 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1183:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1183 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c8__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4c2-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1081:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1081 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c2__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4c2-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1101:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1101 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c2__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4c2s4-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2s4-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2s4-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1121:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1121 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c2s4__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4c2s4-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2s4-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2s4-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1141:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1141 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c2s4__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1164:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1164 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1184:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1184 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c8__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4c2-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1082:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1082 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c2__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4c2-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1102:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1102 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c2__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4c2s4-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2s4-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2s4-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1122:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1122 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c2s4__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4c2s4-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2s4-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2s4-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1142:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1142 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c2s4__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1165:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1165 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1185:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1185 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c8__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-4x4c2-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1083:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1083 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_4x4c2__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-4x4c2-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1103:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1103 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_4x4c2__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-4x4c2s4-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2s4-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2s4-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1123:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1123 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_4x4c2s4__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-4x4c2s4-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2s4-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2s4-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1143:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1143 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_4x4c2s4__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-requantization/qs8-requantization-fp32-sse41.c.o [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-requantization/qs8-requantization-gemmlowp-sse41.c.o [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-requantization/qs8-requantization-rndna-sse41.c.o [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-requantization/qs8-requantization-rndnu-sse41-sra.c.o [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-requantization/qs8-requantization-rndnu-sse41-srl.c.o [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul16-ld64-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul16-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul16-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:128:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 128 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__sse41_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul16-ld64-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul16-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul16-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:129:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 129 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__sse41_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul16-ld64-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul16-ld64-x24.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul16-ld64-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:130:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 130 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__sse41_mul16_ld64_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul16-ld64-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul16-ld64-x32.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul16-ld64-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:131:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 131 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__sse41_mul16_ld64_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul32-ld32-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul32-ld32-x8.c:24:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul32-ld32-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:138:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 138 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__sse41_mul32_ld32_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul32-ld32-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul32-ld32-x16.c:24:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul32-ld32-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:139:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 139 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__sse41_mul32_ld32_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul32-ld32-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul32-ld32-x24.c:24:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul32-ld32-x24.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:140:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 140 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__sse41_mul32_ld32_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul32-ld32-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul32-ld32-x32.c:24:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul32-ld32-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:141:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 141 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__sse41_mul32_ld32_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul16-ld64-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul16-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul16-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:183:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 183 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__sse41_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul16-ld64-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul16-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul16-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:184:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 184 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__sse41_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul16-ld64-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul16-ld64-x24.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul16-ld64-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:185:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 185 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__sse41_mul16_ld64_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul16-ld64-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul16-ld64-x32.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul16-ld64-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:186:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 186 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__sse41_mul16_ld64_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul32-ld32-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul32-ld32-x8.c:24:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul32-ld32-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:193:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 193 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__sse41_mul32_ld32_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul32-ld32-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul32-ld32-x16.c:24:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul32-ld32-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:194:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 194 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__sse41_mul32_ld32_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul32-ld32-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul32-ld32-x24.c:24:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul32-ld32-x24.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:195:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 195 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__sse41_mul32_ld32_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_prod_i32.o [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul32-ld32-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul32-ld32-x32.c:24:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul32-ld32-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:196:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 196 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__sse41_mul32_ld32_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vcvt/gen/qs8-vcvt-sse41-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-sse41-x8.c:23:36: warning: argument 4 of type ‘const union xnn_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-sse41-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:304:39: note: previously declared as ‘const union xnn_qs8_cvt_params *’ 304 | const union xnn_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:316:1: note: in expansion of macro ‘DECLARE_QS8_VCVT_UKERNEL_FUNCTION’ 316 | DECLARE_QS8_VCVT_UKERNEL_FUNCTION(xnn_qs8_vcvt_ukernel__sse41_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vcvt/gen/qs8-vcvt-sse41-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-sse41-x16.c:23:36: warning: argument 4 of type ‘const union xnn_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-sse41-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:304:39: note: previously declared as ‘const union xnn_qs8_cvt_params *’ 304 | const union xnn_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:317:1: note: in expansion of macro ‘DECLARE_QS8_VCVT_UKERNEL_FUNCTION’ 317 | DECLARE_QS8_VCVT_UKERNEL_FUNCTION(xnn_qs8_vcvt_ukernel__sse41_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vcvt/gen/qs8-vcvt-sse41-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-sse41-x32.c:23:36: warning: argument 4 of type ‘const union xnn_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-sse41-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:304:39: note: previously declared as ‘const union xnn_qs8_cvt_params *’ 304 | const union xnn_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:318:1: note: in expansion of macro ‘DECLARE_QS8_VCVT_UKERNEL_FUNCTION’ 318 | DECLARE_QS8_VCVT_UKERNEL_FUNCTION(xnn_qs8_vcvt_ukernel__sse41_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vlrelu/gen/qs8-vlrelu-sse41-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-sse41-x8.c:23:38: warning: argument 4 of type ‘const union xnn_qs8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-sse41-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:24:41: note: previously declared as ‘const union xnn_qs8_lrelu_params *’ 24 | const union xnn_qs8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:36:1: note: in expansion of macro ‘DECLARE_QS8_VLRELU_UKERNEL_FUNCTION’ 36 | DECLARE_QS8_VLRELU_UKERNEL_FUNCTION(xnn_qs8_vlrelu_ukernel__sse41_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vlrelu/gen/qs8-vlrelu-sse41-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-sse41-x16.c:23:38: warning: argument 4 of type ‘const union xnn_qs8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-sse41-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:24:41: note: previously declared as ‘const union xnn_qs8_lrelu_params *’ 24 | const union xnn_qs8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:37:1: note: in expansion of macro ‘DECLARE_QS8_VLRELU_UKERNEL_FUNCTION’ 37 | DECLARE_QS8_VLRELU_UKERNEL_FUNCTION(xnn_qs8_vlrelu_ukernel__sse41_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vlrelu/gen/qs8-vlrelu-sse41-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-sse41-x32.c:23:38: warning: argument 4 of type ‘const union xnn_qs8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-sse41-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:24:41: note: previously declared as ‘const union xnn_qs8_lrelu_params *’ 24 | const union xnn_qs8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:38:1: note: in expansion of macro ‘DECLARE_QS8_VLRELU_UKERNEL_FUNCTION’ 38 | DECLARE_QS8_VLRELU_UKERNEL_FUNCTION(xnn_qs8_vlrelu_ukernel__sse41_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-sse41-mul16-ld64-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-sse41-mul16-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-sse41-mul16-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:91:46: note: previously declared as ‘const union xnn_qs8_mul_minmax_params *’ 91 | const union xnn_qs8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:108:1: note: in expansion of macro ‘DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION’ 108 | DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vmul_minmax_fp32_ukernel__sse41_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-sse41-mul16-ld64-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-sse41-mul16-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-sse41-mul16-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:91:46: note: previously declared as ‘const union xnn_qs8_mul_minmax_params *’ 91 | const union xnn_qs8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:109:1: note: in expansion of macro ‘DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION’ 109 | DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vmul_minmax_fp32_ukernel__sse41_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-sse41-mul16-ld64-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-sse41-mul16-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-sse41-mul16-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:91:46: note: previously declared as ‘const union xnn_qs8_mul_minmax_params *’ 91 | const union xnn_qs8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:137:1: note: in expansion of macro ‘DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION’ 137 | DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vmulc_minmax_fp32_ukernel__sse41_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-sse41-mul16-ld64-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-sse41-mul16-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-sse41-mul16-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:91:46: note: previously declared as ‘const union xnn_qs8_mul_minmax_params *’ 91 | const union xnn_qs8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:138:1: note: in expansion of macro ‘DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION’ 138 | DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vmulc_minmax_fp32_ukernel__sse41_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p8c-minmax-fp32-sse41-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p8c-minmax-fp32-sse41-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p8c-minmax-fp32-sse41-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:539:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 539 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p8c__sse41_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p8c-minmax-fp32-sse41-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p8c-minmax-fp32-sse41-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p8c-minmax-fp32-sse41-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:554:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 554 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p8c__sse41_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-sse41-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-sse41-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-sse41-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:540:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 540 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p16c__sse41_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-sse41-mul32.c.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_prod_u8.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sum_i8.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-sse41-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-sse41-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:555:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 555 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p16c__sse41_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p8c-minmax-fp32-sse41-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p8c-minmax-fp32-sse41-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p8c-minmax-fp32-sse41-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:548:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 548 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p8c__sse41_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/version_converter/helper.cc.o [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p8c-minmax-fp32-sse41-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p8c-minmax-fp32-sse41-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p8c-minmax-fp32-sse41-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:614:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 614 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p8c__sse41_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-sse41-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-sse41-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-sse41-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:549:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 549 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p16c__sse41_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Linking CXX static library ../../lib/libonnx.a [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-sse41-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-sse41-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-sse41-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:615:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 615 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p16c__sse41_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Built target onnx [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse41-x8.c.o [ 50%] Linking CXX static library ../../../../../../lib/libdnnl.a /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse41-x8.c:23:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse41-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:454:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 454 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__sse41_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse41-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse41-x16.c:23:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse41-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:455:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 455 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__sse41_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse41-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse41-x24.c:23:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse41-x24.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:456:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 456 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__sse41_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse41-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse41-x32.c:23:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse41-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:457:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 457 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__sse41_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-sse41-c8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-sse41-c8.c:27:47: warning: argument 8 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-sse41-c8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:214:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 214 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:235:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 235 | DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7p7x__sse41_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-sse41-c16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-sse41-c16.c:27:47: warning: argument 8 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-sse41-c16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:214:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 214 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:236:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 236 | DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7p7x__sse41_c16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-sse41-c24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-sse41-c24.c:27:47: warning: argument 8 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-sse41-c24.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:214:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 214 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:237:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 237 | DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7p7x__sse41_c24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-sse41-c8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-sse41-c8.c:25:47: warning: argument 7 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-sse41-c8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:265:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 265 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:286:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 286 | DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7x__sse41_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-sse41-c16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-sse41-c16.c:25:47: warning: argument 7 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-sse41-c16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:265:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 265 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:287:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 287 | DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7x__sse41_c16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-sse41-c24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-sse41-c24.c:25:47: warning: argument 7 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-sse41-c24.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:265:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 265 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:288:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 288 | DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7x__sse41_c24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c2-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2-minmax-fp32-sse41-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:757:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 757 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c2__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c2-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2-minmax-fp32-sse41-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:777:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 777 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c2__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c2s4-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2s4-minmax-fp32-sse41-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2s4-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:797:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 797 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c2s4__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c2s4-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2s4-minmax-fp32-sse41-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2s4-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:817:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 817 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c2s4__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c8-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c8-minmax-fp32-sse41-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c8-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:836:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 836 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c8-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c8-minmax-fp32-sse41-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c8-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:852:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 852 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c8__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4c2-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2-minmax-fp32-sse41-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:758:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 758 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4c2__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4c2-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2-minmax-fp32-sse41-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:778:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 778 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4c2__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4c2s4-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2s4-minmax-fp32-sse41-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2s4-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:798:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 798 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4c2s4__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4c2s4-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2s4-minmax-fp32-sse41-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2s4-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:818:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 818 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4c2s4__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4c8-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c8-minmax-fp32-sse41-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c8-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:837:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 837 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4c8-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c8-minmax-fp32-sse41-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c8-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:853:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 853 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4c8__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4c2-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2-minmax-fp32-sse41-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:759:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 759 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4c2__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4c2-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2-minmax-fp32-sse41-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:779:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 779 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4c2__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4c2s4-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2s4-minmax-fp32-sse41-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2s4-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:799:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 799 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4c2s4__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4c2s4-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2s4-minmax-fp32-sse41-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2s4-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:819:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 819 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4c2s4__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4c8-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c8-minmax-fp32-sse41-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c8-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:838:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 838 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4c8-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c8-minmax-fp32-sse41-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c8-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:854:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 854 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4c8__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x4c2-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2-minmax-fp32-sse41-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:760:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 760 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_4x4c2__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x4c2-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2-minmax-fp32-sse41-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:780:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 780 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_4x4c2__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x4c2s4-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2s4-minmax-fp32-sse41-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2s4-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:800:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 800 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_4x4c2s4__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x4c2s4-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2s4-minmax-fp32-sse41-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2s4-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:820:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 820 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_4x4c2s4__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4c2-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:510:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 510 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c2__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4c2-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:530:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 530 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c2__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4c2s4-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2s4-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2s4-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:550:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 550 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c2s4__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4c2s4-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2s4-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2s4-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:570:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 570 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c2s4__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4c8-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c8-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c8-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:589:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 589 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4c8-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c8-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c8-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:605:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 605 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c8__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4c2-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:511:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 511 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x4c2__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4c2-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:531:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 531 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x4c2__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4c2s4-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2s4-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2s4-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:551:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 551 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x4c2s4__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4c2s4-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2s4-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2s4-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:571:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 571 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x4c2s4__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4c8-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c8-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c8-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:590:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 590 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4c8-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c8-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c8-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:606:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 606 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x4c8__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4c2-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:512:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 512 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x4c2__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4c2-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:532:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 532 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x4c2__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4c2s4-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2s4-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2s4-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:552:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 552 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x4c2s4__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4c2s4-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2s4-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2s4-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:572:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 572 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x4c2s4__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4c8-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c8-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c8-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:591:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 591 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4c8-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c8-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c8-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:607:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 607 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x4c8__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x4c2-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:513:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 513 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_4x4c2__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x4c2-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:533:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 533 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_4x4c2__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x4c2s4-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2s4-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2s4-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:553:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 553 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_4x4c2s4__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x4c2s4-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2s4-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2s4-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:573:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 573 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_4x4c2s4__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-requantization/qu8-requantization-gemmlowp-sse41.c.o [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-requantization/qu8-requantization-rndna-sse41.c.o [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vadd/gen/qu8-vadd-minmax-sse41-mul16-ld64-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-sse41-mul16-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-sse41-mul16-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:39:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 39 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vadd_minmax_ukernel__sse41_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vadd/gen/qu8-vadd-minmax-sse41-mul16-ld64-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-sse41-mul16-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-sse41-mul16-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:40:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 40 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vadd_minmax_ukernel__sse41_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vadd/gen/qu8-vadd-minmax-sse41-mul32-ld32-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-sse41-mul32-ld32-x8.c:24:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-sse41-mul32-ld32-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:45:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 45 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vadd_minmax_ukernel__sse41_mul32_ld32_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vadd/gen/qu8-vadd-minmax-sse41-mul32-ld32-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-sse41-mul32-ld32-x16.c:24:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-sse41-mul32-ld32-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:46:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 46 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vadd_minmax_ukernel__sse41_mul32_ld32_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-sse41-mul16-ld64-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-sse41-mul16-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-sse41-mul16-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:77:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 77 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vaddc_minmax_ukernel__sse41_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-sse41-mul16-ld64-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-sse41-mul16-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-sse41-mul16-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:78:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 78 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vaddc_minmax_ukernel__sse41_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-sse41-mul32-ld32-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-sse41-mul32-ld32-x8.c:24:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-sse41-mul32-ld32-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:83:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 83 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vaddc_minmax_ukernel__sse41_mul32_ld32_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-sse41-mul32-ld32-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-sse41-mul32-ld32-x16.c:24:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-sse41-mul32-ld32-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:84:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 84 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vaddc_minmax_ukernel__sse41_mul32_ld32_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vcvt/gen/qu8-vcvt-sse41-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-sse41-x8.c:23:36: warning: argument 4 of type ‘const union xnn_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-sse41-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:397:39: note: previously declared as ‘const union xnn_qu8_cvt_params *’ 397 | const union xnn_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:409:1: note: in expansion of macro ‘DECLARE_QU8_VCVT_UKERNEL_FUNCTION’ 409 | DECLARE_QU8_VCVT_UKERNEL_FUNCTION(xnn_qu8_vcvt_ukernel__sse41_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vcvt/gen/qu8-vcvt-sse41-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-sse41-x16.c:23:36: warning: argument 4 of type ‘const union xnn_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-sse41-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:397:39: note: previously declared as ‘const union xnn_qu8_cvt_params *’ 397 | const union xnn_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:410:1: note: in expansion of macro ‘DECLARE_QU8_VCVT_UKERNEL_FUNCTION’ 410 | DECLARE_QU8_VCVT_UKERNEL_FUNCTION(xnn_qu8_vcvt_ukernel__sse41_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vcvt/gen/qu8-vcvt-sse41-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-sse41-x32.c:23:36: warning: argument 4 of type ‘const union xnn_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-sse41-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:397:39: note: previously declared as ‘const union xnn_qu8_cvt_params *’ 397 | const union xnn_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:411:1: note: in expansion of macro ‘DECLARE_QU8_VCVT_UKERNEL_FUNCTION’ 411 | DECLARE_QU8_VCVT_UKERNEL_FUNCTION(xnn_qu8_vcvt_ukernel__sse41_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-sse41-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-sse41-x8.c:23:38: warning: argument 4 of type ‘const union xnn_qu8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-sse41-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:79:41: note: previously declared as ‘const union xnn_qu8_lrelu_params *’ 79 | const union xnn_qu8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:91:1: note: in expansion of macro ‘DECLARE_QU8_VLRELU_UKERNEL_FUNCTION’ 91 | DECLARE_QU8_VLRELU_UKERNEL_FUNCTION(xnn_qu8_vlrelu_ukernel__sse41_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-sse41-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-sse41-x16.c:23:38: warning: argument 4 of type ‘const union xnn_qu8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-sse41-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:79:41: note: previously declared as ‘const union xnn_qu8_lrelu_params *’ 79 | const union xnn_qu8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:92:1: note: in expansion of macro ‘DECLARE_QU8_VLRELU_UKERNEL_FUNCTION’ 92 | DECLARE_QU8_VLRELU_UKERNEL_FUNCTION(xnn_qu8_vlrelu_ukernel__sse41_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-sse41-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-sse41-x32.c:23:38: warning: argument 4 of type ‘const union xnn_qu8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-sse41-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:79:41: note: previously declared as ‘const union xnn_qu8_lrelu_params *’ 79 | const union xnn_qu8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:93:1: note: in expansion of macro ‘DECLARE_QU8_VLRELU_UKERNEL_FUNCTION’ 93 | DECLARE_QU8_VLRELU_UKERNEL_FUNCTION(xnn_qu8_vlrelu_ukernel__sse41_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-sse41-mul16-ld64-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-sse41-mul16-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-sse41-mul16-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:25:46: note: previously declared as ‘const union xnn_qu8_mul_minmax_params *’ 25 | const union xnn_qu8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:42:1: note: in expansion of macro ‘DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION’ 42 | DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vmul_minmax_fp32_ukernel__sse41_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-sse41-mul16-ld64-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-sse41-mul16-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-sse41-mul16-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:25:46: note: previously declared as ‘const union xnn_qu8_mul_minmax_params *’ 25 | const union xnn_qu8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:43:1: note: in expansion of macro ‘DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION’ 43 | DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vmul_minmax_fp32_ukernel__sse41_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-sse41-mul16-ld64-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-sse41-mul16-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-sse41-mul16-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:25:46: note: previously declared as ‘const union xnn_qu8_mul_minmax_params *’ 25 | const union xnn_qu8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:71:1: note: in expansion of macro ‘DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION’ 71 | DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vmulc_minmax_fp32_ukernel__sse41_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-sse41-mul16-ld64-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-sse41-mul16-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-sse41-mul16-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:25:46: note: previously declared as ‘const union xnn_qu8_mul_minmax_params *’ 25 | const union xnn_qu8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:72:1: note: in expansion of macro ‘DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION’ 72 | DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vmulc_minmax_fp32_ukernel__sse41_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/s8-ibilinear/gen/s8-ibilinear-sse41-c8.c.o [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/s8-ibilinear/gen/s8-ibilinear-sse41-c16.c.o [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/s8-maxpool/s8-maxpool-9p8x-minmax-sse41-c16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/s8-maxpool/s8-maxpool-9p8x-minmax-sse41-c16.c:23:38: warning: argument 9 of type ‘const union xnn_s8_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_s8_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/s8-maxpool/s8-maxpool-9p8x-minmax-sse41-c16.c:10: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/maxpool.h:86:41: note: previously declared as ‘const union xnn_s8_minmax_params *’ 86 | const union xnn_s8_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/maxpool.h:93:1: note: in expansion of macro ‘DECLARE_S8_MAXPOOL_MINMAX_UKERNEL_FUNCTION’ 93 | DECLARE_S8_MAXPOOL_MINMAX_UKERNEL_FUNCTION(xnn_s8_maxpool_minmax_ukernel_9p8x__sse41_c16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/s8-vclamp/s8-vclamp-sse41-x64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/s8-vclamp/s8-vclamp-sse41-x64.c:18:38: warning: argument 4 of type ‘const union xnn_s8_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 18 | const union xnn_s8_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/s8-vclamp/s8-vclamp-sse41-x64.c:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1129:41: note: previously declared as ‘const union xnn_s8_minmax_params *’ 1129 | const union xnn_s8_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1134:1: note: in expansion of macro ‘DECLARE_S8_VCLAMP_UKERNEL_FUNCTION’ 1134 | DECLARE_S8_VCLAMP_UKERNEL_FUNCTION(xnn_s8_vclamp_ukernel__sse41_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/u8-ibilinear/gen/u8-ibilinear-sse41-c8.c.o [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/u8-ibilinear/gen/u8-ibilinear-sse41-c16.c.o [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx-int16-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx-int16-x8.c:22:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx-int16-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:59:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 59 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__avx_int16_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx-int16-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx-int16-x16.c:22:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx-int16-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:60:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 60 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__avx_int16_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx-int16-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx-int16-x24.c:22:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx-int16-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:61:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 61 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__avx_int16_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx-int16-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx-int16-x32.c:22:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx-int16-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:62:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 62 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__avx_int16_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx-int32-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx-int32-x8.c:22:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx-int32-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:64:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 64 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__avx_int32_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx-int32-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx-int32-x16.c:22:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx-int32-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:65:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 65 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__avx_int32_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx-int32-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx-int32-x24.c:22:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx-int32-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:66:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 66 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__avx_int32_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx-int32-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx-int32-x32.c:22:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx-int32-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:67:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 67 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__avx_int32_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-2f2m2l8c8s4r-minmax-avx-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l8c8s4r-minmax-avx-acc2.c:32:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l8c8s4r-minmax-avx-acc2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:76:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 76 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:84:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION’ 84 | DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_2f2m2l8c8s4r__avx_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-2f2m2l8c8s4r-minmax-avx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l8c8s4r-minmax-avx.c:32:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l8c8s4r-minmax-avx.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:76:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 76 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:83:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION’ 83 | DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_2f2m2l8c8s4r__avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-2f2m2l16c8s4r-minmax-avx-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l16c8s4r-minmax-avx-acc2.c:32:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l16c8s4r-minmax-avx-acc2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:76:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 76 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:86:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION’ 86 | DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_2f2m2l16c8s4r__avx_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-2f2m2l16c8s4r-minmax-avx.c.o [ 51%] Built target dnnl [ 51%] Linking CXX static library ../../../../lib/libdnnl_graph.a /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l16c8s4r-minmax-avx.c:32:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l16c8s4r-minmax-avx.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:76:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 76 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:85:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION’ 85 | DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_2f2m2l16c8s4r__avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-2f2m2l32c8s4r-minmax-avx-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l32c8s4r-minmax-avx-acc2.c:32:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l32c8s4r-minmax-avx-acc2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:76:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 76 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:88:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION’ 88 | DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_2f2m2l32c8s4r__avx_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-2f2m2l32c8s4r-minmax-avx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l32c8s4r-minmax-avx.c:32:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l32c8s4r-minmax-avx.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:76:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 76 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:87:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION’ 87 | DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_2f2m2l32c8s4r__avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p8c-minmax-avx-acc2.c.o [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p8c-minmax-avx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p8c-minmax-avx-acc2.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p8c-minmax-avx-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:164:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 164 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_3p8c__avx_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Built target dnnl_graph /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p8c-minmax-avx.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p8c-minmax-avx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:163:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 163 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_3p8c__avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p16c-minmax-avx-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p16c-minmax-avx-acc2.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p16c-minmax-avx-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:174:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 174 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_3p16c__avx_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p16c-minmax-avx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p16c-minmax-avx.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p16c-minmax-avx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:173:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 173 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_3p16c__avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p8c-minmax-avx-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p8c-minmax-avx-acc2.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p8c-minmax-avx-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:193:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 193 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_4p8c__avx_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p8c-minmax-avx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p8c-minmax-avx.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p8c-minmax-avx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:192:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 192 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_4p8c__avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p16c-minmax-avx-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p16c-minmax-avx-acc2.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p16c-minmax-avx-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:203:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 203 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_4p16c__avx_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p16c-minmax-avx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p16c-minmax-avx.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p16c-minmax-avx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:202:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 202 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_4p16c__avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p8c-minmax-avx-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p8c-minmax-avx-acc2.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p8c-minmax-avx-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:224:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 224 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_9p8c__avx_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p8c-minmax-avx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p8c-minmax-avx.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p8c-minmax-avx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:223:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 223 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_9p8c__avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p16c-minmax-avx-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p16c-minmax-avx-acc2.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p16c-minmax-avx-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:234:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 234 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_9p16c__avx_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p16c-minmax-avx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p16c-minmax-avx.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p16c-minmax-avx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:233:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 233 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_9p16c__avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p8c-minmax-avx-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p8c-minmax-avx-acc2.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p8c-minmax-avx-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:253:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 253 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_25p8c__avx_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p8c-minmax-avx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p8c-minmax-avx.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p8c-minmax-avx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:252:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 252 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_25p8c__avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p16c-minmax-avx-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p16c-minmax-avx-acc2.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p16c-minmax-avx-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:263:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 263 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_25p16c__avx_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p16c-minmax-avx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p16c-minmax-avx.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p16c-minmax-avx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:262:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 262 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_25p16c__avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-avx-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-avx-x8.c:23:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-avx-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:126:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 126 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-avx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-avx-x16.c:23:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-avx-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:127:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 127 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-avx-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-avx-x24.c:23:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-avx-x24.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:128:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 128 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__avx_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-avx-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-avx-x32.c:23:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-avx-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:129:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 129 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__avx_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-1x8-minmax-avx-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-1x8-minmax-avx-broadcast.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-1x8-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:251:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 251 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_1x8__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-1x16-minmax-avx-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-1x16-minmax-avx-broadcast.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-1x16-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:252:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 252 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_1x16__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-3x16-minmax-avx-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-3x16-minmax-avx-broadcast.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-3x16-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:253:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 253 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_3x16__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-4x8-minmax-avx-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x8-minmax-avx-broadcast.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x8-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:254:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 254 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_4x8__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-4x16-minmax-avx-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x16-minmax-avx-broadcast.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x16-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:255:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 255 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_4x16__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-5x8-minmax-avx-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-5x8-minmax-avx-broadcast.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-5x8-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:256:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 256 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_5x8__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-5x16-minmax-avx-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-5x16-minmax-avx-broadcast.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-5x16-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:257:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 257 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_5x16__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-6x8-minmax-avx-broadcast.c.o [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-7x8-minmax-avx-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-6x8-minmax-avx-broadcast.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-6x8-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:258:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 258 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_6x8__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-1x8-minmax-avx-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-7x8-minmax-avx-broadcast.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-7x8-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:259:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 259 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_7x8__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-1x16-minmax-avx-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-1x8-minmax-avx-broadcast.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-1x8-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:557:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 557 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_1x8__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-3x16-minmax-avx-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-1x16-minmax-avx-broadcast.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-1x16-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:558:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 558 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_1x16__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-4x8-minmax-avx-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-3x16-minmax-avx-broadcast.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-3x16-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:559:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 559 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_3x16__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-4x8-minmax-avx-broadcast.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-4x8-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:560:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 560 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_4x8__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-4x16-minmax-avx-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-4x16-minmax-avx-broadcast.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-4x16-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:561:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 561 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_4x16__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-5x8-minmax-avx-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-5x8-minmax-avx-broadcast.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-5x8-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:562:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 562 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_5x8__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-5x16-minmax-avx-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-5x16-minmax-avx-broadcast.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-5x16-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:563:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 563 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_5x16__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-6x8-minmax-avx-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-6x8-minmax-avx-broadcast.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-6x8-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:564:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 564 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_6x8__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-7x8-minmax-avx-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-7x8-minmax-avx-broadcast.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-7x8-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:565:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 565 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_7x8__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-1x8-minmax-avx-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-1x8-minmax-avx-broadcast.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-1x8-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:165:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 165 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_1x8__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-1x16-minmax-avx-broadcast.c.o [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-3x16-minmax-avx-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-3x16-minmax-avx-broadcast.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-3x16-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:167:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 167 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_3x16__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-1x16-minmax-avx-broadcast.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-1x16-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:166:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 166 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_1x16__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-4x8-minmax-avx-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x8-minmax-avx-broadcast.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x8-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:168:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 168 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_4x8__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-4x16-minmax-avx-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x16-minmax-avx-broadcast.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x16-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:169:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 169 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_4x16__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-5x8-minmax-avx-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-5x8-minmax-avx-broadcast.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-5x8-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:170:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 170 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_5x8__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-5x16-minmax-avx-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-5x16-minmax-avx-broadcast.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-5x16-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:171:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 171 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_5x16__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-6x8-minmax-avx-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-6x8-minmax-avx-broadcast.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-6x8-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:172:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 172 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_6x8__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-7x8-minmax-avx-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-7x8-minmax-avx-broadcast.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-7x8-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:173:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 173 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_7x8__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-prelu/gen/f32-prelu-avx-2x8.c.o [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-prelu/gen/f32-prelu-avx-2x16.c.o [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx-x8.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:185:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 185 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx-x16.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:186:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 186 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx-x24.c.o [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx-x24.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx-x24.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:187:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 187 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__avx_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx-x32.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:188:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 188 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__avx_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx-x8.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:253:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 253 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx-x16.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:254:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 254 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx-x24.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx-x24.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:255:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 255 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__avx_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx-x32.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:256:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 256 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__avx_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-rmax/f32-rmax-avx.c.o [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-minmax-avx-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-minmax-avx-x8.c:23:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-minmax-avx-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:328:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 328 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vadd_minmax_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-minmax-avx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-minmax-avx-x16.c:23:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-minmax-avx-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:329:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 329 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vadd_minmax_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-minmax-avx-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-minmax-avx-x8.c:23:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-minmax-avx-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:530:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 530 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vaddc_minmax_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-minmax-avx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-minmax-avx-x16.c:23:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-minmax-avx-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:531:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 531 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vaddc_minmax_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-minmax-avx-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-minmax-avx-x8.c:23:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-minmax-avx-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:351:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 351 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vdiv_minmax_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-minmax-avx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-minmax-avx-x16.c:23:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-minmax-avx-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:352:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 352 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vdiv_minmax_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdivc-minmax-avx-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-minmax-avx-x8.c:23:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-minmax-avx-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:553:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 553 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vdivc_minmax_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdivc-minmax-avx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-minmax-avx-x16.c:23:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-minmax-avx-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:554:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 554 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vdivc_minmax_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmax-avx-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmax-avx-x8.c:23:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmax-avx-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:186:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 186 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmax_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmax-avx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmax-avx-x16.c:23:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmax-avx-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:187:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 187 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmax_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmaxc-avx-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmaxc-avx-x8.c:23:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmaxc-avx-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:468:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 468 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmaxc_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmaxc-avx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmaxc-avx-x16.c:23:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmaxc-avx-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:469:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 469 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmaxc_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmin-avx-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmin-avx-x8.c:23:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmin-avx-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:209:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 209 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmin_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmin-avx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmin-avx-x16.c:23:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmin-avx-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:210:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 210 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmin_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vminc-avx-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vminc-avx-x8.c:23:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vminc-avx-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:491:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 491 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vminc_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vminc-avx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vminc-avx-x16.c:23:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vminc-avx-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:492:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 492 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vminc_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-minmax-avx-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-minmax-avx-x8.c:23:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-minmax-avx-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:374:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 374 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmul_minmax_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-minmax-avx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-minmax-avx-x16.c:23:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-minmax-avx-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:375:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 375 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmul_minmax_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmulc-minmax-avx-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-minmax-avx-x8.c:23:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-minmax-avx-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:599:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 599 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmulc_minmax_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmulc-minmax-avx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-minmax-avx-x16.c:23:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-minmax-avx-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:600:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 600 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmulc_minmax_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-minmax-avx-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-minmax-avx-x8.c:23:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-minmax-avx-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:576:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 576 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vrdivc_minmax_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-minmax-avx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-minmax-avx-x16.c:23:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-minmax-avx-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:577:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 577 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vrdivc_minmax_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-minmax-avx-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-minmax-avx-x8.c:23:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-minmax-avx-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:645:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 645 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vrsubc_minmax_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-minmax-avx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-minmax-avx-x16.c:23:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-minmax-avx-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:646:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 646 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vrsubc_minmax_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiff-avx-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiff-avx-x8.c:23:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiff-avx-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:232:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 232 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsqrdiff_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiff-avx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiff-avx-x16.c:23:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiff-avx-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:233:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 233 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsqrdiff_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiffc-avx-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiffc-avx-x8.c:23:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiffc-avx-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:514:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 514 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsqrdiffc_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiffc-avx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiffc-avx-x16.c:23:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiffc-avx-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:515:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 515 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsqrdiffc_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsub-minmax-avx-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-minmax-avx-x8.c:23:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-minmax-avx-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:397:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 397 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vsub_minmax_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsub-minmax-avx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-minmax-avx-x16.c:23:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-minmax-avx-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:398:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 398 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vsub_minmax_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsubc-minmax-avx-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-minmax-avx-x8.c:23:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-minmax-avx-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:622:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 622 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vsubc_minmax_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsubc-minmax-avx-x16.c.o [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vclamp/gen/f32-vclamp-avx-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-minmax-avx-x16.c:23:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-minmax-avx-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:623:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 623 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vsubc_minmax_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vclamp/gen/f32-vclamp-avx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vclamp/gen/f32-vclamp-avx-x8.c:22:39: warning: argument 4 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vclamp/gen/f32-vclamp-avx-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:240:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 240 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:242:1: note: in expansion of macro ‘DECLARE_F32_VCLAMP_UKERNEL_FUNCTION’ 242 | DECLARE_F32_VCLAMP_UKERNEL_FUNCTION(xnn_f32_vclamp_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vclamp/gen/f32-vclamp-avx-x16.c:22:39: warning: argument 4 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vclamp/gen/f32-vclamp-avx-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:240:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 240 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:243:1: note: in expansion of macro ‘DECLARE_F32_VCLAMP_UKERNEL_FUNCTION’ 243 | DECLARE_F32_VCLAMP_UKERNEL_FUNCTION(xnn_f32_vclamp_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx-rr2-lut4-p4-perm-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-lut4-p4-perm-x8.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-lut4-p4-perm-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:325:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 325 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx_rr2_lut4_p4_perm_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx-rr2-lut4-p4-perm-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-lut4-p4-perm-x16.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-lut4-p4-perm-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:326:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 326 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx_rr2_lut4_p4_perm_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx-rr2-lut4-p4-perm-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-lut4-p4-perm-x24.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-lut4-p4-perm-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:327:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 327 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx_rr2_lut4_p4_perm_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx-rr2-lut4-p4-perm-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-lut4-p4-perm-x32.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-lut4-p4-perm-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:328:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 328 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx_rr2_lut4_p4_perm_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx-rr2-lut4-p4-perm-x40.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-lut4-p4-perm-x40.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-lut4-p4-perm-x40.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:329:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 329 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx_rr2_lut4_p4_perm_x40) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx-rr2-lut4-p4-perm-x48.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-lut4-p4-perm-x48.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-lut4-p4-perm-x48.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:330:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 330 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx_rr2_lut4_p4_perm_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx-rr2-lut16-p3-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-lut16-p3-x8.c:25:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-lut16-p3-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:332:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 332 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx_rr2_lut16_p3_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx-rr2-lut16-p3-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-lut16-p3-x16.c:25:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-lut16-p3-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:333:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 333 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx_rr2_lut16_p3_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx-rr2-lut16-p3-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-lut16-p3-x24.c:25:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-lut16-p3-x24.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:334:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 334 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx_rr2_lut16_p3_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx-rr2-lut16-p3-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-lut16-p3-x32.c:25:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-lut16-p3-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:335:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 335 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx_rr2_lut16_p3_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx-rr2-lut16-p3-x40.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-lut16-p3-x40.c:25:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-lut16-p3-x40.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:336:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 336 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx_rr2_lut16_p3_x40) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx-rr2-lut16-p3-x48.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-lut16-p3-x48.c:25:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-lut16-p3-x48.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:337:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 337 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx_rr2_lut16_p3_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx-rr2-p6-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-p6-x8.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-p6-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:339:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 339 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx_rr2_p6_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx-rr2-p6-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-p6-x16.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-p6-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:340:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 340 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx_rr2_p6_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx-rr2-p6-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-p6-x24.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-p6-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:341:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 341 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx_rr2_p6_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx-rr2-p6-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-p6-x32.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-p6-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:342:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 342 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx_rr2_p6_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx-rr2-p6-x40.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-p6-x40.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-p6-x40.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:343:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 343 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx_rr2_p6_x40) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx-rr2-p6-x48.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-p6-x48.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-p6-x48.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:344:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 344 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx_rr2_p6_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vhswish/gen/f32-vhswish-avx-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vhswish/gen/f32-vhswish-avx-x8.c:22:39: warning: argument 4 of type ‘const union xnn_f32_hswish_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_hswish_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vhswish/gen/f32-vhswish-avx-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:498:42: note: previously declared as ‘const union xnn_f32_hswish_params *’ 498 | const union xnn_f32_hswish_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:507:1: note: in expansion of macro ‘DECLARE_F32_VHSWISH_UKERNEL_FUNCTION’ 507 | DECLARE_F32_VHSWISH_UKERNEL_FUNCTION(xnn_f32_vhswish_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vhswish/gen/f32-vhswish-avx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vhswish/gen/f32-vhswish-avx-x16.c:22:39: warning: argument 4 of type ‘const union xnn_f32_hswish_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_hswish_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vhswish/gen/f32-vhswish-avx-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:498:42: note: previously declared as ‘const union xnn_f32_hswish_params *’ 498 | const union xnn_f32_hswish_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:508:1: note: in expansion of macro ‘DECLARE_F32_VHSWISH_UKERNEL_FUNCTION’ 508 | DECLARE_F32_VHSWISH_UKERNEL_FUNCTION(xnn_f32_vhswish_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vlrelu/gen/f32-vlrelu-avx-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vlrelu/gen/f32-vlrelu-avx-x8.c:22:38: warning: argument 4 of type ‘const union xnn_f32_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vlrelu/gen/f32-vlrelu-avx-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:548:41: note: previously declared as ‘const union xnn_f32_lrelu_params *’ 548 | const union xnn_f32_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:563:1: note: in expansion of macro ‘DECLARE_F32_VLRELU_UKERNEL_FUNCTION’ 563 | DECLARE_F32_VLRELU_UKERNEL_FUNCTION(xnn_f32_vlrelu_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vlrelu/gen/f32-vlrelu-avx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vlrelu/gen/f32-vlrelu-avx-x16.c:22:38: warning: argument 4 of type ‘const union xnn_f32_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vlrelu/gen/f32-vlrelu-avx-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:548:41: note: previously declared as ‘const union xnn_f32_lrelu_params *’ 548 | const union xnn_f32_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:564:1: note: in expansion of macro ‘DECLARE_F32_VLRELU_UKERNEL_FUNCTION’ 564 | DECLARE_F32_VLRELU_UKERNEL_FUNCTION(xnn_f32_vlrelu_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrelu/gen/f32-vrelu-avx-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrelu/gen/f32-vrelu-avx-x8.c:24:37: warning: argument 4 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrelu/gen/f32-vrelu-avx-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:623:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 623 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:625:1: note: in expansion of macro ‘DECLARE_F32_VRELU_UKERNEL_FUNCTION’ 625 | DECLARE_F32_VRELU_UKERNEL_FUNCTION(xnn_f32_vrelu_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrelu/gen/f32-vrelu-avx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrelu/gen/f32-vrelu-avx-x16.c:24:37: warning: argument 4 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrelu/gen/f32-vrelu-avx-x16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:623:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 623 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:626:1: note: in expansion of macro ‘DECLARE_F32_VRELU_UKERNEL_FUNCTION’ 626 | DECLARE_F32_VRELU_UKERNEL_FUNCTION(xnn_f32_vrelu_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndd-avx-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndd-avx-x8.c:23:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndd-avx-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:710:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 710 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndd_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndd-avx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndd-avx-x16.c:23:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndd-avx-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:711:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 711 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndd_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndne-avx-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndne-avx-x8.c:23:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndne-avx-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:656:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 656 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndne_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndne-avx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndne-avx-x16.c:23:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndne-avx-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:657:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 657 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndne_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndu-avx-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndu-avx-x8.c:23:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndu-avx-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:692:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 692 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndu_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndu-avx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndu-avx-x16.c:23:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndu-avx-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:693:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 693 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndu_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndz-avx-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndz-avx-x8.c:23:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndz-avx-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:674:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 674 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndz_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndz-avx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndz-avx-x16.c:23:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndz-avx-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:675:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 675 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndz_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x8.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:933:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 933 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx_rr2_p5_div_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x16.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:934:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 934 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx_rr2_p5_div_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x24.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:935:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 935 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx_rr2_p5_div_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x32.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:936:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 936 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx_rr2_p5_div_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x40.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x40.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x40.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:937:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 937 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx_rr2_p5_div_x40) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x48.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x48.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x48.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:938:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 938 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx_rr2_p5_div_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x56.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x56.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x56.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:939:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 939 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx_rr2_p5_div_x56) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x64.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x64.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:940:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 940 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx_rr2_p5_div_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x72.c.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_min_u32.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_min_i32.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_min_u8.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_min_i8.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_prod_bf16.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_prod_f64.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_prod_f32.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_prod_f16.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_prod_u64.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_prod_i64.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x72.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x72.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:941:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 941 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx_rr2_p5_div_x72) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x80.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x80.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x80.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:942:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 942 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx_rr2_p5_div_x80) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x8.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:944:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 944 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx_rr2_p5_nr2_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x16.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:945:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 945 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx_rr2_p5_nr2_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x24.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:946:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 946 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx_rr2_p5_nr2_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x32.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:947:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 947 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx_rr2_p5_nr2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x40.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x40.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x40.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:948:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 948 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx_rr2_p5_nr2_x40) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x48.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x48.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x48.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:949:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 949 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx_rr2_p5_nr2_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x56.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x56.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x56.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:950:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 950 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx_rr2_p5_nr2_x56) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x64.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x64.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:951:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 951 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx_rr2_p5_nr2_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x72.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x72.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x72.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:952:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 952 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx_rr2_p5_nr2_x72) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x80.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x80.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x80.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:953:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 953 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx_rr2_p5_nr2_x80) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-avx-sqrt-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-avx-sqrt-x8.c:22:37: warning: argument 4 of type ‘const union xnn_f32_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-avx-sqrt-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:734:40: note: previously declared as ‘const union xnn_f32_sqrt_params *’ 734 | const union xnn_f32_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:764:1: note: in expansion of macro ‘DECLARE_F32_VSQRT_UKERNEL_FUNCTION’ 764 | DECLARE_F32_VSQRT_UKERNEL_FUNCTION(xnn_f32_vsqrt_ukernel__avx_sqrt_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-avx-sqrt-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-avx-sqrt-x16.c:22:37: warning: argument 4 of type ‘const union xnn_f32_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-avx-sqrt-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:734:40: note: previously declared as ‘const union xnn_f32_sqrt_params *’ 734 | const union xnn_f32_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:765:1: note: in expansion of macro ‘DECLARE_F32_VSQRT_UKERNEL_FUNCTION’ 765 | DECLARE_F32_VSQRT_UKERNEL_FUNCTION(xnn_f32_vsqrt_ukernel__avx_sqrt_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vabs-avx-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vabs-avx-x8.c:22:36: warning: argument 4 of type ‘const union xnn_f32_abs_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_abs_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vabs-avx-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:213:39: note: previously declared as ‘const union xnn_f32_abs_params *’ 213 | const union xnn_f32_abs_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:221:1: note: in expansion of macro ‘DECLARE_F32_VABS_UKERNEL_FUNCTION’ 221 | DECLARE_F32_VABS_UKERNEL_FUNCTION(xnn_f32_vabs_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vabs-avx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vabs-avx-x16.c:22:36: warning: argument 4 of type ‘const union xnn_f32_abs_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_abs_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vabs-avx-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:213:39: note: previously declared as ‘const union xnn_f32_abs_params *’ 213 | const union xnn_f32_abs_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:222:1: note: in expansion of macro ‘DECLARE_F32_VABS_UKERNEL_FUNCTION’ 222 | DECLARE_F32_VABS_UKERNEL_FUNCTION(xnn_f32_vabs_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vneg-avx-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vneg-avx-x8.c:22:36: warning: argument 4 of type ‘const union xnn_f32_neg_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_neg_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vneg-avx-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:595:39: note: previously declared as ‘const union xnn_f32_neg_params *’ 595 | const union xnn_f32_neg_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:604:1: note: in expansion of macro ‘DECLARE_F32_VNEG_UKERNEL_FUNCTION’ 604 | DECLARE_F32_VNEG_UKERNEL_FUNCTION(xnn_f32_vneg_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vneg-avx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vneg-avx-x16.c:22:36: warning: argument 4 of type ‘const union xnn_f32_neg_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_neg_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vneg-avx-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:595:39: note: previously declared as ‘const union xnn_f32_neg_params *’ 595 | const union xnn_f32_neg_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:605:1: note: in expansion of macro ‘DECLARE_F32_VNEG_UKERNEL_FUNCTION’ 605 | DECLARE_F32_VNEG_UKERNEL_FUNCTION(xnn_f32_vneg_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vsqr-avx-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vsqr-avx-x8.c:22:40: warning: argument 4 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vsqr-avx-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1102:43: note: previously declared as ‘const union xnn_f32_default_params *’ 1102 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1110:1: note: in expansion of macro ‘DECLARE_F32_VSQR_UKERNEL_FUNCTION’ 1110 | DECLARE_F32_VSQR_UKERNEL_FUNCTION(xnn_f32_vsqr_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vsqr-avx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vsqr-avx-x16.c:22:40: warning: argument 4 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vsqr-avx-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1102:43: note: previously declared as ‘const union xnn_f32_default_params *’ 1102 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1111:1: note: in expansion of macro ‘DECLARE_F32_VSQR_UKERNEL_FUNCTION’ 1111 | DECLARE_F32_VSQR_UKERNEL_FUNCTION(xnn_f32_vsqr_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/exp-f32-avx-rr2-p5.c.o [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/expm1minus-f32-avx-rr2-lut4-p4-perm.c.o [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/expm1minus-f32-avx-rr2-lut16-p3.c.o [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/expm1minus-f32-avx-rr2-p6.c.o [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f32-avx-rr2-lut64-p2-div.c.o [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f32-avx-rr2-p5-div.c.o [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f32-avx-rr2-p5-nr1.c.o [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f32-avx-rr2-p5-nr2.c.o [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-3p16c-minmax-fp32-avx-mul16-add16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-3p16c-minmax-fp32-avx-mul16-add16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-3p16c-minmax-fp32-avx-mul16-add16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:947:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 947 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_3p16c__avx_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-avx-mul16-add16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-avx-mul16-add16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-avx-mul16-add16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:977:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 977 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p8c__avx_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-avx-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-avx-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-avx-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:973:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 973 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p8c__avx_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-avx-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-avx-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-avx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:996:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 996 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p8c__avx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-avx-mul16-add16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-avx-mul16-add16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-avx-mul16-add16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:978:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 978 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p16c__avx_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-avx-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-avx-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-avx-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:974:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 974 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p16c__avx_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-avx-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-avx-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-avx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:997:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 997 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p16c__avx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p24c-minmax-fp32-avx-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p24c-minmax-fp32-avx-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p24c-minmax-fp32-avx-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:975:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 975 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p24c__avx_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p24c-minmax-fp32-avx-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p24c-minmax-fp32-avx-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p24c-minmax-fp32-avx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:998:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 998 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p24c__avx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-avx-mul16-add16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-avx-mul16-add16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-avx-mul16-add16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1054:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1054 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p8c__avx_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-avx-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-avx-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-avx-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1050:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1050 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p8c__avx_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-avx-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-avx-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-avx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1073:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1073 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p8c__avx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-avx-mul16-add16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-avx-mul16-add16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-avx-mul16-add16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1055:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1055 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p16c__avx_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-avx-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-avx-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-avx-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1051:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1051 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p16c__avx_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-avx-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-avx-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-avx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1074:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1074 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p16c__avx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p24c-minmax-fp32-avx-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p24c-minmax-fp32-avx-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p24c-minmax-fp32-avx-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1052:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1052 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p24c__avx_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p24c-minmax-fp32-avx-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p24c-minmax-fp32-avx-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p24c-minmax-fp32-avx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1075:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1075 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p24c__avx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4c2-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2-minmax-fp32-avx-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1793:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1793 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c2__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4c2-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2-minmax-fp32-avx-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1813:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1813 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c2__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4c2s4-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2s4-minmax-fp32-avx-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2s4-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1833:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1833 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c2s4__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4c2s4-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2s4-minmax-fp32-avx-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2s4-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1853:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1853 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c2s4__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4c8-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c8-minmax-fp32-avx-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c8-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1871:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1871 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c8__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4c8-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c8-minmax-fp32-avx-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c8-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1887:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1887 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4c2-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2-minmax-fp32-avx-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1794:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1794 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4c2__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4c2-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2-minmax-fp32-avx-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1814:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1814 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4c2__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4c2s4-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2s4-minmax-fp32-avx-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2s4-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1834:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1834 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4c2s4__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4c2s4-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2s4-minmax-fp32-avx-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2s4-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1854:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1854 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4c2s4__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4c8-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c8-minmax-fp32-avx-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c8-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1872:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1872 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4c8__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4c8-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c8-minmax-fp32-avx-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c8-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1888:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1888 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4c2-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2-minmax-fp32-avx-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1795:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1795 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4c2__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4c2-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2-minmax-fp32-avx-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1815:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1815 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4c2__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4c2s4-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2s4-minmax-fp32-avx-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2s4-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1835:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1835 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4c2s4__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4c2s4-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2s4-minmax-fp32-avx-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2s4-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1855:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1855 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4c2s4__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4c8-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c8-minmax-fp32-avx-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c8-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1873:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1873 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4c8__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4c8-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c8-minmax-fp32-avx-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c8-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1889:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1889 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-4x4c2-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2-minmax-fp32-avx-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1796:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1796 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_4x4c2__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-4x4c2-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2-minmax-fp32-avx-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1816:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1816 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_4x4c2__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-4x4c2s4-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2s4-minmax-fp32-avx-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2s4-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1836:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1836 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_4x4c2s4__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-4x4c2s4-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2s4-minmax-fp32-avx-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2s4-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1856:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1856 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_4x4c2s4__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4c2-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1462:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1462 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c2__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4c2-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1482:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1482 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c2__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4c2s4-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2s4-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2s4-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1502:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1502 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c2s4__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4c2s4-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2s4-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2s4-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1522:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1522 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c2s4__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4c8-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c8-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c8-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1540:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1540 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c8__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4c8-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c8-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c8-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1556:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1556 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4c2-minmax-fp32-avx-ld64.c.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_min_u64.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_min_i64.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_prod_u32.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_f64.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_f16.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1463:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1463 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x4c2__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4c2-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1483:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1483 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x4c2__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4c2s4-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2s4-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2s4-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1503:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1503 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x4c2s4__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4c2s4-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2s4-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2s4-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1523:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1523 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x4c2s4__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4c8-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c8-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c8-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1541:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1541 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x4c8__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4c8-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c8-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c8-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1557:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1557 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4c2-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1464:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1464 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x4c2__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4c2-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1484:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1484 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x4c2__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4c2s4-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2s4-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2s4-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1504:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1504 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x4c2s4__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4c2s4-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2s4-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2s4-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1524:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1524 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x4c2s4__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4c8-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c8-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c8-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1542:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1542 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x4c8__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4c8-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c8-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c8-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1558:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1558 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-4x4c2-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1465:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1465 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_4x4c2__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-4x4c2-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1485:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1485 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_4x4c2__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-4x4c2s4-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2s4-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2s4-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1505:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1505 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_4x4c2s4__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-4x4c2s4-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2s4-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2s4-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1525:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1525 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_4x4c2s4__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-avx-mul16-add16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-avx-mul16-add16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-avx-mul16-add16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:713:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 713 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p8c__avx_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-avx-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-avx-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-avx-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:709:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 709 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p8c__avx_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-avx-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-avx-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-avx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:732:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 732 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p8c__avx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx-mul16-add16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx-mul16-add16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx-mul16-add16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:714:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 714 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p16c__avx_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:710:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 710 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p16c__avx_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:733:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 733 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p16c__avx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p24c-minmax-fp32-avx-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p24c-minmax-fp32-avx-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p24c-minmax-fp32-avx-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:711:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 711 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p24c__avx_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p24c-minmax-fp32-avx-mul32.c.o [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-avx-mul16-add16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-avx-mul16-add16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-avx-mul16-add16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:809:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 809 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p8c__avx_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p24c-minmax-fp32-avx-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p24c-minmax-fp32-avx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:734:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 734 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p24c__avx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-avx-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-avx-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-avx-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:805:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 805 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p8c__avx_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-avx-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-avx-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-avx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:828:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 828 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p8c__avx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx-mul16-add16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx-mul16-add16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx-mul16-add16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:810:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 810 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p16c__avx_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:806:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 806 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p16c__avx_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:829:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 829 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p16c__avx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p24c-minmax-fp32-avx-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p24c-minmax-fp32-avx-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p24c-minmax-fp32-avx-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:807:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 807 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p24c__avx_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p24c-minmax-fp32-avx-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p24c-minmax-fp32-avx-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p24c-minmax-fp32-avx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:830:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 830 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p24c__avx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx-x8.c:23:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:366:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 366 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx-x16.c.o [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx-x16.c:23:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:367:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 367 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx-x24.c:23:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx-x24.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:368:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 368 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__avx_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx-x32.c:23:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:369:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 369 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__avx_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c2-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2-minmax-fp32-avx-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1339:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1339 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c2__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c2-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2-minmax-fp32-avx-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1359:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1359 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c2__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c2-xw-minmax-fp32-avx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2-xw-minmax-fp32-avx.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2-xw-minmax-fp32-avx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1481:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1481 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_1x4c2__avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-minmax-fp32-avx-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1379:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1379 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c2s4__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-minmax-fp32-avx-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1399:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1399 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c2s4__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-xw-minmax-fp32-avx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-xw-minmax-fp32-avx.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-xw-minmax-fp32-avx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1486:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1486 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_1x4c2s4__avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-avx-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1421:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1421 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c8__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-avx-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1441:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1441 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c8-xw-minmax-fp32-avx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-xw-minmax-fp32-avx.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-xw-minmax-fp32-avx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1491:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1491 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_1x4c8__avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c2-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2-minmax-fp32-avx-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1340:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1340 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c2__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c2-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2-minmax-fp32-avx-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1360:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1360 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c2__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c2-xw-minmax-fp32-avx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2-xw-minmax-fp32-avx.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2-xw-minmax-fp32-avx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1482:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1482 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_2x4c2__avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-minmax-fp32-avx-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1380:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1380 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c2s4__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-minmax-fp32-avx-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1400:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1400 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c2s4__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-xw-minmax-fp32-avx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-xw-minmax-fp32-avx.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-xw-minmax-fp32-avx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1487:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1487 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_2x4c2s4__avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-avx-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1422:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1422 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c8__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-avx-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1442:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1442 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c8-xw-minmax-fp32-avx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-xw-minmax-fp32-avx.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-xw-minmax-fp32-avx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1492:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1492 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_2x4c8__avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c2-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2-minmax-fp32-avx-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1341:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1341 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c2__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c2-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2-minmax-fp32-avx-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1361:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1361 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c2__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c2-xw-minmax-fp32-avx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2-xw-minmax-fp32-avx.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2-xw-minmax-fp32-avx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1483:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1483 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_3x4c2__avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-minmax-fp32-avx-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1381:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1381 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c2s4__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-minmax-fp32-avx-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1401:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1401 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c2s4__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-xw-minmax-fp32-avx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-xw-minmax-fp32-avx.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-xw-minmax-fp32-avx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1488:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1488 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_3x4c2s4__avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-avx-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1423:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1423 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c8__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-avx-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1443:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1443 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c8-xw-minmax-fp32-avx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-xw-minmax-fp32-avx.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-xw-minmax-fp32-avx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1493:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1493 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_3x4c8__avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4c2-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2-minmax-fp32-avx-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1342:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1342 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_4x4c2__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4c2-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2-minmax-fp32-avx-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1362:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1362 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_4x4c2__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4c2-xw-minmax-fp32-avx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2-xw-minmax-fp32-avx.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2-xw-minmax-fp32-avx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1484:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1484 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_4x4c2__avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-minmax-fp32-avx-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1382:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1382 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_4x4c2s4__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-minmax-fp32-avx-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1402:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1402 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_4x4c2s4__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-xw-minmax-fp32-avx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-xw-minmax-fp32-avx.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-xw-minmax-fp32-avx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1489:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1489 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_4x4c2s4__avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4c2-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1085:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1085 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c2__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4c2-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1105:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1105 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c2__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4c2s4-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2s4-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2s4-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1125:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1125 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c2s4__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4c2s4-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2s4-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2s4-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1145:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1145 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c2s4__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1167:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1167 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c8__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1187:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1187 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4c2-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1086:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1086 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c2__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4c2-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1106:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1106 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c2__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4c2s4-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2s4-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2s4-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1126:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1126 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c2s4__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4c2s4-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2s4-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2s4-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1146:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1146 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c2s4__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1168:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1168 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c8__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1188:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1188 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4c2-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1087:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1087 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c2__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4c2-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1107:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1107 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c2__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4c2s4-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2s4-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2s4-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1127:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1127 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c2s4__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4c2s4-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2s4-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2s4-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1147:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1147 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c2s4__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1169:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1169 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c8__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1189:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1189 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-4x4c2-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1088:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1088 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_4x4c2__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-4x4c2-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1108:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1108 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_4x4c2__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-4x4c2s4-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2s4-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2s4-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1128:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1128 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_4x4c2s4__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-4x4c2s4-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2s4-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2s4-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1148:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1148 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_4x4c2s4__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul16-ld64-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul16-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul16-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:133:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 133 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__avx_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul16-ld64-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul16-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul16-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:134:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 134 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__avx_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul16-ld64-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul16-ld64-x24.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul16-ld64-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:135:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 135 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__avx_mul16_ld64_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul16-ld64-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul16-ld64-x32.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul16-ld64-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:136:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 136 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__avx_mul16_ld64_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul32-ld32-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul32-ld32-x8.c:24:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul32-ld32-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:143:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 143 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__avx_mul32_ld32_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul32-ld32-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul32-ld32-x16.c:24:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul32-ld32-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:144:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 144 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__avx_mul32_ld32_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul32-ld32-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul32-ld32-x24.c:24:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul32-ld32-x24.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:145:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 145 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__avx_mul32_ld32_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul32-ld32-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul32-ld32-x32.c:24:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul32-ld32-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:146:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 146 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__avx_mul32_ld32_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul16-ld64-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul16-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul16-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:188:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 188 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__avx_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul16-ld64-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul16-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul16-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:189:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 189 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__avx_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul16-ld64-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul16-ld64-x24.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul16-ld64-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:190:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 190 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__avx_mul16_ld64_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul16-ld64-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul16-ld64-x32.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul16-ld64-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:191:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 191 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__avx_mul16_ld64_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul32-ld32-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul32-ld32-x8.c:24:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul32-ld32-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:198:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 198 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__avx_mul32_ld32_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul32-ld32-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul32-ld32-x16.c:24:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul32-ld32-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:199:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 199 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__avx_mul32_ld32_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul32-ld32-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul32-ld32-x24.c:24:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul32-ld32-x24.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:200:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 200 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__avx_mul32_ld32_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul32-ld32-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul32-ld32-x32.c:24:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul32-ld32-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:201:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 201 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__avx_mul32_ld32_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vcvt/gen/qs8-vcvt-avx-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-avx-x8.c:23:36: warning: argument 4 of type ‘const union xnn_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-avx-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:304:39: note: previously declared as ‘const union xnn_qs8_cvt_params *’ 304 | const union xnn_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:320:1: note: in expansion of macro ‘DECLARE_QS8_VCVT_UKERNEL_FUNCTION’ 320 | DECLARE_QS8_VCVT_UKERNEL_FUNCTION(xnn_qs8_vcvt_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vcvt/gen/qs8-vcvt-avx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-avx-x16.c:23:36: warning: argument 4 of type ‘const union xnn_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-avx-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:304:39: note: previously declared as ‘const union xnn_qs8_cvt_params *’ 304 | const union xnn_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:321:1: note: in expansion of macro ‘DECLARE_QS8_VCVT_UKERNEL_FUNCTION’ 321 | DECLARE_QS8_VCVT_UKERNEL_FUNCTION(xnn_qs8_vcvt_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vcvt/gen/qs8-vcvt-avx-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-avx-x32.c:23:36: warning: argument 4 of type ‘const union xnn_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-avx-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:304:39: note: previously declared as ‘const union xnn_qs8_cvt_params *’ 304 | const union xnn_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:322:1: note: in expansion of macro ‘DECLARE_QS8_VCVT_UKERNEL_FUNCTION’ 322 | DECLARE_QS8_VCVT_UKERNEL_FUNCTION(xnn_qs8_vcvt_ukernel__avx_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vlrelu/gen/qs8-vlrelu-avx-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-avx-x8.c:23:38: warning: argument 4 of type ‘const union xnn_qs8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-avx-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:24:41: note: previously declared as ‘const union xnn_qs8_lrelu_params *’ 24 | const union xnn_qs8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:40:1: note: in expansion of macro ‘DECLARE_QS8_VLRELU_UKERNEL_FUNCTION’ 40 | DECLARE_QS8_VLRELU_UKERNEL_FUNCTION(xnn_qs8_vlrelu_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vlrelu/gen/qs8-vlrelu-avx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-avx-x16.c:23:38: warning: argument 4 of type ‘const union xnn_qs8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-avx-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:24:41: note: previously declared as ‘const union xnn_qs8_lrelu_params *’ 24 | const union xnn_qs8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:41:1: note: in expansion of macro ‘DECLARE_QS8_VLRELU_UKERNEL_FUNCTION’ 41 | DECLARE_QS8_VLRELU_UKERNEL_FUNCTION(xnn_qs8_vlrelu_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vlrelu/gen/qs8-vlrelu-avx-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-avx-x32.c:23:38: warning: argument 4 of type ‘const union xnn_qs8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-avx-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:24:41: note: previously declared as ‘const union xnn_qs8_lrelu_params *’ 24 | const union xnn_qs8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:42:1: note: in expansion of macro ‘DECLARE_QS8_VLRELU_UKERNEL_FUNCTION’ 42 | DECLARE_QS8_VLRELU_UKERNEL_FUNCTION(xnn_qs8_vlrelu_ukernel__avx_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-avx-mul16-ld64-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-avx-mul16-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-avx-mul16-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:91:46: note: previously declared as ‘const union xnn_qs8_mul_minmax_params *’ 91 | const union xnn_qs8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:111:1: note: in expansion of macro ‘DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION’ 111 | DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vmul_minmax_fp32_ukernel__avx_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-avx-mul16-ld64-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-avx-mul16-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-avx-mul16-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:91:46: note: previously declared as ‘const union xnn_qs8_mul_minmax_params *’ 91 | const union xnn_qs8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:112:1: note: in expansion of macro ‘DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION’ 112 | DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vmul_minmax_fp32_ukernel__avx_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-avx-mul16-ld64-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-avx-mul16-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-avx-mul16-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:91:46: note: previously declared as ‘const union xnn_qs8_mul_minmax_params *’ 91 | const union xnn_qs8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:140:1: note: in expansion of macro ‘DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION’ 140 | DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vmulc_minmax_fp32_ukernel__avx_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-avx-mul16-ld64-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-avx-mul16-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-avx-mul16-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:91:46: note: previously declared as ‘const union xnn_qs8_mul_minmax_params *’ 91 | const union xnn_qs8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:141:1: note: in expansion of macro ‘DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION’ 141 | DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vmulc_minmax_fp32_ukernel__avx_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p8c-minmax-fp32-avx-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p8c-minmax-fp32-avx-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p8c-minmax-fp32-avx-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:542:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 542 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p8c__avx_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p8c-minmax-fp32-avx-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p8c-minmax-fp32-avx-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p8c-minmax-fp32-avx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:557:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 557 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p8c__avx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-avx-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-avx-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-avx-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:543:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 543 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p16c__avx_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-avx-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-avx-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-avx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:558:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 558 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p16c__avx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p8c-minmax-fp32-avx-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p8c-minmax-fp32-avx-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p8c-minmax-fp32-avx-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:551:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 551 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p8c__avx_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p8c-minmax-fp32-avx-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p8c-minmax-fp32-avx-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p8c-minmax-fp32-avx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:617:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 617 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p8c__avx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-avx-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-avx-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-avx-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:552:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 552 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p16c__avx_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-avx-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-avx-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-avx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:618:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 618 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p16c__avx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx-x8.c:23:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:459:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 459 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx-x16.c:23:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:460:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 460 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx-x24.c:23:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx-x24.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:461:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 461 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__avx_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx-x32.c:23:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:462:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 462 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__avx_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c2-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2-minmax-fp32-avx-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:762:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 762 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c2__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c2-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2-minmax-fp32-avx-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:782:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 782 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c2__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c2s4-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2s4-minmax-fp32-avx-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2s4-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:802:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 802 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c2s4__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c2s4-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2s4-minmax-fp32-avx-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2s4-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:822:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 822 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c2s4__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c8-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c8-minmax-fp32-avx-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c8-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:840:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 840 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c8__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c8-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c8-minmax-fp32-avx-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c8-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:856:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 856 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4c2-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2-minmax-fp32-avx-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:763:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 763 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4c2__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4c2-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2-minmax-fp32-avx-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:783:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 783 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4c2__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4c2s4-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2s4-minmax-fp32-avx-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2s4-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:803:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 803 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4c2s4__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4c2s4-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2s4-minmax-fp32-avx-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2s4-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:823:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 823 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4c2s4__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4c8-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c8-minmax-fp32-avx-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c8-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:841:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 841 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4c8__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4c8-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c8-minmax-fp32-avx-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c8-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:857:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 857 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4c2-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2-minmax-fp32-avx-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:764:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 764 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4c2__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4c2-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2-minmax-fp32-avx-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:784:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 784 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4c2__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4c2s4-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2s4-minmax-fp32-avx-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2s4-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:804:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 804 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4c2s4__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4c2s4-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2s4-minmax-fp32-avx-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2s4-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:824:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 824 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4c2s4__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4c8-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c8-minmax-fp32-avx-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c8-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:842:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 842 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4c8__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4c8-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c8-minmax-fp32-avx-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c8-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:858:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 858 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x4c2-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2-minmax-fp32-avx-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:765:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 765 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_4x4c2__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x4c2-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2-minmax-fp32-avx-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:785:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 785 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_4x4c2__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x4c2s4-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2s4-minmax-fp32-avx-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2s4-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:805:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 805 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_4x4c2s4__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x4c2s4-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2s4-minmax-fp32-avx-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2s4-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:825:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 825 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_4x4c2s4__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4c2-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:515:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 515 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c2__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4c2-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:535:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 535 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c2__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4c2s4-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2s4-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2s4-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:555:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 555 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c2s4__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4c2s4-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2s4-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2s4-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:575:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 575 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c2s4__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4c8-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c8-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c8-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:593:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 593 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c8__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4c8-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c8-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c8-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:609:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 609 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4c2-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:516:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 516 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x4c2__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4c2-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:536:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 536 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x4c2__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4c2s4-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2s4-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2s4-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:556:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 556 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x4c2s4__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4c2s4-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2s4-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2s4-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:576:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 576 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x4c2s4__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4c8-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c8-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c8-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:594:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 594 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x4c8__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4c8-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c8-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c8-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:610:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 610 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4c2-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:517:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 517 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x4c2__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4c2-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:537:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 537 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x4c2__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4c2s4-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2s4-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2s4-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:557:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 557 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x4c2s4__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4c2s4-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2s4-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2s4-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:577:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 577 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x4c2s4__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4c8-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c8-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c8-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:595:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 595 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x4c8__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4c8-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c8-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c8-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:611:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 611 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x4c2-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:518:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 518 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_4x4c2__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x4c2-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:538:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 538 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_4x4c2__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x4c2s4-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2s4-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2s4-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:558:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 558 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_4x4c2s4__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x4c2s4-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2s4-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2s4-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:578:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 578 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_4x4c2s4__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vadd/gen/qu8-vadd-minmax-avx-mul16-ld64-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-avx-mul16-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-avx-mul16-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:42:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 42 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vadd_minmax_ukernel__avx_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vadd/gen/qu8-vadd-minmax-avx-mul16-ld64-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-avx-mul16-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-avx-mul16-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:43:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 43 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vadd_minmax_ukernel__avx_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vadd/gen/qu8-vadd-minmax-avx-mul32-ld32-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-avx-mul32-ld32-x8.c:24:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-avx-mul32-ld32-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:48:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 48 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vadd_minmax_ukernel__avx_mul32_ld32_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vadd/gen/qu8-vadd-minmax-avx-mul32-ld32-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-avx-mul32-ld32-x16.c:24:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-avx-mul32-ld32-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:49:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 49 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vadd_minmax_ukernel__avx_mul32_ld32_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx-mul16-ld64-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx-mul16-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx-mul16-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:80:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 80 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vaddc_minmax_ukernel__avx_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx-mul16-ld64-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx-mul16-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx-mul16-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:81:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 81 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vaddc_minmax_ukernel__avx_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx-mul32-ld32-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx-mul32-ld32-x8.c:24:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx-mul32-ld32-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:86:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 86 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vaddc_minmax_ukernel__avx_mul32_ld32_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx-mul32-ld32-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx-mul32-ld32-x16.c:24:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx-mul32-ld32-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:87:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 87 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vaddc_minmax_ukernel__avx_mul32_ld32_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vcvt/gen/qu8-vcvt-avx-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-avx-x8.c:23:36: warning: argument 4 of type ‘const union xnn_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-avx-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:397:39: note: previously declared as ‘const union xnn_qu8_cvt_params *’ 397 | const union xnn_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:413:1: note: in expansion of macro ‘DECLARE_QU8_VCVT_UKERNEL_FUNCTION’ 413 | DECLARE_QU8_VCVT_UKERNEL_FUNCTION(xnn_qu8_vcvt_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vcvt/gen/qu8-vcvt-avx-x16.c.o [ 57%] Built target fbgemm_avx2 [ 57%] Linking CXX static library ../../lib/libfbgemm.a /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-avx-x16.c:23:36: warning: argument 4 of type ‘const union xnn_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-avx-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:397:39: note: previously declared as ‘const union xnn_qu8_cvt_params *’ 397 | const union xnn_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:414:1: note: in expansion of macro ‘DECLARE_QU8_VCVT_UKERNEL_FUNCTION’ 414 | DECLARE_QU8_VCVT_UKERNEL_FUNCTION(xnn_qu8_vcvt_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vcvt/gen/qu8-vcvt-avx-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-avx-x32.c:23:36: warning: argument 4 of type ‘const union xnn_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-avx-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:397:39: note: previously declared as ‘const union xnn_qu8_cvt_params *’ 397 | const union xnn_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:415:1: note: in expansion of macro ‘DECLARE_QU8_VCVT_UKERNEL_FUNCTION’ 415 | DECLARE_QU8_VCVT_UKERNEL_FUNCTION(xnn_qu8_vcvt_ukernel__avx_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-avx-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-avx-x8.c:23:38: warning: argument 4 of type ‘const union xnn_qu8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-avx-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:79:41: note: previously declared as ‘const union xnn_qu8_lrelu_params *’ 79 | const union xnn_qu8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:95:1: note: in expansion of macro ‘DECLARE_QU8_VLRELU_UKERNEL_FUNCTION’ 95 | DECLARE_QU8_VLRELU_UKERNEL_FUNCTION(xnn_qu8_vlrelu_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-avx-x16.c.o [ 57%] Built target fbgemm [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-avx-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-avx-x16.c:23:38: warning: argument 4 of type ‘const union xnn_qu8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-avx-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:79:41: note: previously declared as ‘const union xnn_qu8_lrelu_params *’ 79 | const union xnn_qu8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:96:1: note: in expansion of macro ‘DECLARE_QU8_VLRELU_UKERNEL_FUNCTION’ 96 | DECLARE_QU8_VLRELU_UKERNEL_FUNCTION(xnn_qu8_vlrelu_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-avx-mul16-ld64-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-avx-mul16-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-avx-mul16-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:25:46: note: previously declared as ‘const union xnn_qu8_mul_minmax_params *’ 25 | const union xnn_qu8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:45:1: note: in expansion of macro ‘DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION’ 45 | DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vmul_minmax_fp32_ukernel__avx_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/AccumulateType.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-avx-x32.c:23:38: warning: argument 4 of type ‘const union xnn_qu8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-avx-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:79:41: note: previously declared as ‘const union xnn_qu8_lrelu_params *’ 79 | const union xnn_qu8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:97:1: note: in expansion of macro ‘DECLARE_QU8_VLRELU_UKERNEL_FUNCTION’ 97 | DECLARE_QU8_VLRELU_UKERNEL_FUNCTION(xnn_qu8_vlrelu_ukernel__avx_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-avx-mul16-ld64-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-avx-mul16-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-avx-mul16-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:25:46: note: previously declared as ‘const union xnn_qu8_mul_minmax_params *’ 25 | const union xnn_qu8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:46:1: note: in expansion of macro ‘DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION’ 46 | DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vmul_minmax_fp32_ukernel__avx_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-avx-mul16-ld64-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-avx-mul16-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-avx-mul16-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:25:46: note: previously declared as ‘const union xnn_qu8_mul_minmax_params *’ 25 | const union xnn_qu8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:74:1: note: in expansion of macro ‘DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION’ 74 | DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vmulc_minmax_fp32_ukernel__avx_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-avx-mul16-ld64-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-avx-mul16-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-avx-mul16-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:25:46: note: previously declared as ‘const union xnn_qu8_mul_minmax_params *’ 25 | const union xnn_qu8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:75:1: note: in expansion of macro ‘DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION’ 75 | DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vmulc_minmax_fp32_ukernel__avx_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx-x16.c:23:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 23 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:42:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 42 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx-x32.c.o [ 57%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/CPUGeneratorImpl.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx-x32.c:23:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 23 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:43:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 43 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__avx_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx-x48.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx-x48.c:23:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 23 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx-x48.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:44:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 44 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__avx_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx-x64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx-x64.c:23:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 23 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx-x64.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:45:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 45 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__avx_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-8x8-multi-mov-avx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x32-transposec/gen/x32-transposec-8x8-multi-mov-avx.c:27:42: warning: argument 7 of type ‘const union xnn_x32_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x32_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x32-transposec/gen/x32-transposec-8x8-multi-mov-avx.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:81:45: note: previously declared as ‘const union xnn_x32_transpose_params *’ 81 | const union xnn_x32_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:129:1: note: in expansion of macro ‘DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION’ 129 | DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x32_transposec_ukernel__8x8_multi_mov_avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-8x8-multi-switch-avx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x32-transposec/gen/x32-transposec-8x8-multi-switch-avx.c:27:42: warning: argument 7 of type ‘const union xnn_x32_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x32_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x32-transposec/gen/x32-transposec-8x8-multi-switch-avx.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:81:45: note: previously declared as ‘const union xnn_x32_transpose_params *’ 81 | const union xnn_x32_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:130:1: note: in expansion of macro ‘DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION’ 130 | DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x32_transposec_ukernel__8x8_multi_switch_avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-8x8-reuse-mov-avx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x32-transposec/gen/x32-transposec-8x8-reuse-mov-avx.c:27:42: warning: argument 7 of type ‘const union xnn_x32_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x32_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x32-transposec/gen/x32-transposec-8x8-reuse-mov-avx.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:81:45: note: previously declared as ‘const union xnn_x32_transpose_params *’ 81 | const union xnn_x32_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:131:1: note: in expansion of macro ‘DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION’ 131 | DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x32_transposec_ukernel__8x8_reuse_mov_avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-8x8-reuse-multi-avx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x32-transposec/gen/x32-transposec-8x8-reuse-multi-avx.c:27:42: warning: argument 7 of type ‘const union xnn_x32_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x32_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x32-transposec/gen/x32-transposec-8x8-reuse-multi-avx.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:81:45: note: previously declared as ‘const union xnn_x32_transpose_params *’ 81 | const union xnn_x32_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:132:1: note: in expansion of macro ‘DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION’ 132 | DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x32_transposec_ukernel__8x8_reuse_multi_avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-8x8-reuse-switch-avx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x32-transposec/gen/x32-transposec-8x8-reuse-switch-avx.c:27:42: warning: argument 7 of type ‘const union xnn_x32_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x32_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x32-transposec/gen/x32-transposec-8x8-reuse-switch-avx.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:81:45: note: previously declared as ‘const union xnn_x32_transpose_params *’ 81 | const union xnn_x32_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:133:1: note: in expansion of macro ‘DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION’ 133 | DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x32_transposec_ukernel__8x8_reuse_switch_avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-4x4-multi-mov-avx.c.o [ 58%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/ConjugateFallback.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x64-transposec/gen/x64-transposec-4x4-multi-mov-avx.c:27:42: warning: argument 7 of type ‘const union xnn_x64_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x64_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x64-transposec/gen/x64-transposec-4x4-multi-mov-avx.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:40:45: note: previously declared as ‘const union xnn_x64_transpose_params *’ 40 | const union xnn_x64_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:66:1: note: in expansion of macro ‘DECLARE_X64_TRANSPOSEC_UKERNEL_FUNCTION’ 66 | DECLARE_X64_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x64_transposec_ukernel__4x4_multi_mov_avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-4x4-multi-multi-avx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x64-transposec/gen/x64-transposec-4x4-multi-multi-avx.c:27:42: warning: argument 7 of type ‘const union xnn_x64_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x64_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x64-transposec/gen/x64-transposec-4x4-multi-multi-avx.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:40:45: note: previously declared as ‘const union xnn_x64_transpose_params *’ 40 | const union xnn_x64_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:67:1: note: in expansion of macro ‘DECLARE_X64_TRANSPOSEC_UKERNEL_FUNCTION’ 67 | DECLARE_X64_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x64_transposec_ukernel__4x4_multi_multi_avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-4x4-multi-switch-avx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x64-transposec/gen/x64-transposec-4x4-multi-switch-avx.c:27:42: warning: argument 7 of type ‘const union xnn_x64_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x64_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x64-transposec/gen/x64-transposec-4x4-multi-switch-avx.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:40:45: note: previously declared as ‘const union xnn_x64_transpose_params *’ 40 | const union xnn_x64_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:68:1: note: in expansion of macro ‘DECLARE_X64_TRANSPOSEC_UKERNEL_FUNCTION’ 68 | DECLARE_X64_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x64_transposec_ukernel__4x4_multi_switch_avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-4x4-reuse-mov-avx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x64-transposec/gen/x64-transposec-4x4-reuse-mov-avx.c:27:42: warning: argument 7 of type ‘const union xnn_x64_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x64_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x64-transposec/gen/x64-transposec-4x4-reuse-mov-avx.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:40:45: note: previously declared as ‘const union xnn_x64_transpose_params *’ 40 | const union xnn_x64_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:69:1: note: in expansion of macro ‘DECLARE_X64_TRANSPOSEC_UKERNEL_FUNCTION’ 69 | DECLARE_X64_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x64_transposec_ukernel__4x4_reuse_mov_avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-4x4-reuse-multi-avx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x64-transposec/gen/x64-transposec-4x4-reuse-multi-avx.c:27:42: warning: argument 7 of type ‘const union xnn_x64_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x64_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x64-transposec/gen/x64-transposec-4x4-reuse-multi-avx.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:40:45: note: previously declared as ‘const union xnn_x64_transpose_params *’ 40 | const union xnn_x64_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:70:1: note: in expansion of macro ‘DECLARE_X64_TRANSPOSEC_UKERNEL_FUNCTION’ 70 | DECLARE_X64_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x64_transposec_ukernel__4x4_reuse_multi_avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-4x4-reuse-switch-avx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x64-transposec/gen/x64-transposec-4x4-reuse-switch-avx.c:27:42: warning: argument 7 of type ‘const union xnn_x64_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x64_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x64-transposec/gen/x64-transposec-4x4-reuse-switch-avx.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:40:45: note: previously declared as ‘const union xnn_x64_transpose_params *’ 40 | const union xnn_x64_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:71:1: note: in expansion of macro ‘DECLARE_X64_TRANSPOSEC_UKERNEL_FUNCTION’ 71 | DECLARE_X64_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x64_transposec_ukernel__4x4_reuse_switch_avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-avgpool/f16-avgpool-9p8x-minmax-f16c-c8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-avgpool/f16-avgpool-9p8x-minmax-f16c-c8.c:25:44: warning: argument 11 of type ‘const union xnn_f16_scaleminmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f16_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-avgpool/f16-avgpool-9p8x-minmax-f16c-c8.c:10: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:34:47: note: previously declared as ‘const union xnn_f16_scaleminmax_params *’ 34 | const union xnn_f16_scaleminmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:36:1: note: in expansion of macro ‘DECLARE_F16_AVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 36 | DECLARE_F16_AVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_f16_avgpool_minmax_ukernel_9p8x__f16c_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-avgpool/f16-avgpool-9x-minmax-f16c-c8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-avgpool/f16-avgpool-9x-minmax-f16c-c8.c:24:44: warning: argument 10 of type ‘const union xnn_f16_scaleminmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-avgpool/f16-avgpool-9x-minmax-f16c-c8.c:10: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:51:47: note: previously declared as ‘const union xnn_f16_scaleminmax_params *’ 51 | const union xnn_f16_scaleminmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:53:1: note: in expansion of macro ‘DECLARE_F16_AVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 53 | DECLARE_F16_AVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_avgpool_minmax_ukernel_9x__f16c_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-f16c-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-f16c-x8.c:22:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-f16c-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:69:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 69 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-f16c-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-f16c-x16.c:22:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-f16c-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:70:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 70 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-gavgpool/gen/f16-gavgpool-7p7x-minmax-f16c-c8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gavgpool/gen/f16-gavgpool-7p7x-minmax-f16c-c8.c:27:44: warning: argument 8 of type ‘const union xnn_f16_scaleminmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f16_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gavgpool/gen/f16-gavgpool-7p7x-minmax-f16c-c8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:68:47: note: previously declared as ‘const union xnn_f16_scaleminmax_params *’ 68 | const union xnn_f16_scaleminmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:75:1: note: in expansion of macro ‘DECLARE_F16_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 75 | DECLARE_F16_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_f16_gavgpool_minmax_ukernel_7p7x__f16c_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-gavgpool/gen/f16-gavgpool-7p7x-minmax-f16c-c16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gavgpool/gen/f16-gavgpool-7p7x-minmax-f16c-c16.c:27:44: warning: argument 8 of type ‘const union xnn_f16_scaleminmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f16_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gavgpool/gen/f16-gavgpool-7p7x-minmax-f16c-c16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:68:47: note: previously declared as ‘const union xnn_f16_scaleminmax_params *’ 68 | const union xnn_f16_scaleminmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:76:1: note: in expansion of macro ‘DECLARE_F16_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 76 | DECLARE_F16_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_f16_gavgpool_minmax_ukernel_7p7x__f16c_c16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-gavgpool/gen/f16-gavgpool-7p7x-minmax-f16c-c24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gavgpool/gen/f16-gavgpool-7p7x-minmax-f16c-c24.c:27:44: warning: argument 8 of type ‘const union xnn_f16_scaleminmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f16_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gavgpool/gen/f16-gavgpool-7p7x-minmax-f16c-c24.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:68:47: note: previously declared as ‘const union xnn_f16_scaleminmax_params *’ 68 | const union xnn_f16_scaleminmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:77:1: note: in expansion of macro ‘DECLARE_F16_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 77 | DECLARE_F16_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_f16_gavgpool_minmax_ukernel_7p7x__f16c_c24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-gavgpool/gen/f16-gavgpool-7p7x-minmax-f16c-c32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gavgpool/gen/f16-gavgpool-7p7x-minmax-f16c-c32.c:27:44: warning: argument 8 of type ‘const union xnn_f16_scaleminmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f16_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gavgpool/gen/f16-gavgpool-7p7x-minmax-f16c-c32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:68:47: note: previously declared as ‘const union xnn_f16_scaleminmax_params *’ 68 | const union xnn_f16_scaleminmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:78:1: note: in expansion of macro ‘DECLARE_F16_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 78 | DECLARE_F16_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_f16_gavgpool_minmax_ukernel_7p7x__f16c_c32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-gavgpool/gen/f16-gavgpool-7x-minmax-f16c-c8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gavgpool/gen/f16-gavgpool-7x-minmax-f16c-c8.c:25:44: warning: argument 7 of type ‘const union xnn_f16_scaleminmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f16_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gavgpool/gen/f16-gavgpool-7x-minmax-f16c-c8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:89:47: note: previously declared as ‘const union xnn_f16_scaleminmax_params *’ 89 | const union xnn_f16_scaleminmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:96:1: note: in expansion of macro ‘DECLARE_F16_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 96 | DECLARE_F16_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_gavgpool_minmax_ukernel_7x__f16c_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-gavgpool/gen/f16-gavgpool-7x-minmax-f16c-c16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gavgpool/gen/f16-gavgpool-7x-minmax-f16c-c16.c:25:44: warning: argument 7 of type ‘const union xnn_f16_scaleminmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f16_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gavgpool/gen/f16-gavgpool-7x-minmax-f16c-c16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:89:47: note: previously declared as ‘const union xnn_f16_scaleminmax_params *’ 89 | const union xnn_f16_scaleminmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:97:1: note: in expansion of macro ‘DECLARE_F16_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 97 | DECLARE_F16_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_gavgpool_minmax_ukernel_7x__f16c_c16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-gavgpool/gen/f16-gavgpool-7x-minmax-f16c-c24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gavgpool/gen/f16-gavgpool-7x-minmax-f16c-c24.c:25:44: warning: argument 7 of type ‘const union xnn_f16_scaleminmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f16_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gavgpool/gen/f16-gavgpool-7x-minmax-f16c-c24.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:89:47: note: previously declared as ‘const union xnn_f16_scaleminmax_params *’ 89 | const union xnn_f16_scaleminmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:98:1: note: in expansion of macro ‘DECLARE_F16_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 98 | DECLARE_F16_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_gavgpool_minmax_ukernel_7x__f16c_c24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-gavgpool/gen/f16-gavgpool-7x-minmax-f16c-c32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gavgpool/gen/f16-gavgpool-7x-minmax-f16c-c32.c:25:44: warning: argument 7 of type ‘const union xnn_f16_scaleminmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f16_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gavgpool/gen/f16-gavgpool-7x-minmax-f16c-c32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:89:47: note: previously declared as ‘const union xnn_f16_scaleminmax_params *’ 89 | const union xnn_f16_scaleminmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:99:1: note: in expansion of macro ‘DECLARE_F16_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 99 | DECLARE_F16_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_gavgpool_minmax_ukernel_7x__f16c_c32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-maxpool/f16-maxpool-9p8x-minmax-f16c-c8.c.o [ 58%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/Context.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-maxpool/f16-maxpool-9p8x-minmax-f16c-c8.c:23:39: warning: argument 9 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-maxpool/f16-maxpool-9p8x-minmax-f16c-c8.c:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/maxpool.h:32:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 32 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/maxpool.h:34:1: note: in expansion of macro ‘DECLARE_F16_MAXPOOL_MINMAX_UKERNEL_FUNCTION’ 34 | DECLARE_F16_MAXPOOL_MINMAX_UKERNEL_FUNCTION(xnn_f16_maxpool_minmax_ukernel_9p8x__f16c_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-prelu/gen/f16-prelu-f16c-2x8.c.o [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-prelu/gen/f16-prelu-f16c-2x16.c.o [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-rmax/f16-rmax-f16c.c.o [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vadd-minmax-f16c-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vadd-minmax-f16c-x8.c:24:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vadd-minmax-f16c-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:83:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 83 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vadd_minmax_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vadd-minmax-f16c-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vadd-minmax-f16c-x16.c:24:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vadd-minmax-f16c-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:84:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 84 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vadd_minmax_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vaddc-minmax-f16c-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vaddc-minmax-f16c-x8.c:24:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vaddc-minmax-f16c-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:148:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 148 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vaddc_minmax_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vaddc-minmax-f16c-x16.c.o [ 58%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/DLConvertor.cpp.o [ 58%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/Dispatch.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vaddc-minmax-f16c-x16.c:24:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vaddc-minmax-f16c-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:149:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 149 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vaddc_minmax_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vdiv-minmax-f16c-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vdiv-minmax-f16c-x8.c:24:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vdiv-minmax-f16c-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:85:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 85 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vdiv_minmax_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vdiv-minmax-f16c-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vdiv-minmax-f16c-x16.c:24:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vdiv-minmax-f16c-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:86:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 86 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vdiv_minmax_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vdivc-minmax-f16c-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vdivc-minmax-f16c-x8.c:24:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vdivc-minmax-f16c-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:150:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 150 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vdivc_minmax_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vdivc-minmax-f16c-x16.c.o [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmax-f16c-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vdivc-minmax-f16c-x16.c:24:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vdivc-minmax-f16c-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:151:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 151 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vdivc_minmax_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vmax-f16c-x8.c:24:40: warning: argument 5 of type ‘const union xnn_f16_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vmax-f16c-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:27:45: note: previously declared as ‘const union xnn_f16_default_params *’ 27 | const union xnn_f16_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:54:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_UKERNEL_FUNCTION’ 54 | DECLARE_F16_VBINOP_UKERNEL_FUNCTION(xnn_f16_vmax_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmax-f16c-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vmax-f16c-x16.c:24:40: warning: argument 5 of type ‘const union xnn_f16_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vmax-f16c-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:27:45: note: previously declared as ‘const union xnn_f16_default_params *’ 27 | const union xnn_f16_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:55:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_UKERNEL_FUNCTION’ 55 | DECLARE_F16_VBINOP_UKERNEL_FUNCTION(xnn_f16_vmax_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmaxc-f16c-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vmaxc-f16c-x8.c:24:40: warning: argument 5 of type ‘const union xnn_f16_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vmaxc-f16c-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:27:45: note: previously declared as ‘const union xnn_f16_default_params *’ 27 | const union xnn_f16_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:109:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_UKERNEL_FUNCTION’ 109 | DECLARE_F16_VBINOP_UKERNEL_FUNCTION(xnn_f16_vmaxc_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmaxc-f16c-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vmaxc-f16c-x16.c:24:40: warning: argument 5 of type ‘const union xnn_f16_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vmaxc-f16c-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:27:45: note: previously declared as ‘const union xnn_f16_default_params *’ 27 | const union xnn_f16_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:110:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_UKERNEL_FUNCTION’ 110 | DECLARE_F16_VBINOP_UKERNEL_FUNCTION(xnn_f16_vmaxc_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmin-f16c-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vmin-f16c-x8.c:24:40: warning: argument 5 of type ‘const union xnn_f16_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vmin-f16c-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:27:45: note: previously declared as ‘const union xnn_f16_default_params *’ 27 | const union xnn_f16_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:56:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_UKERNEL_FUNCTION’ 56 | DECLARE_F16_VBINOP_UKERNEL_FUNCTION(xnn_f16_vmin_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmin-f16c-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vmin-f16c-x16.c:24:40: warning: argument 5 of type ‘const union xnn_f16_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vmin-f16c-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:27:45: note: previously declared as ‘const union xnn_f16_default_params *’ 27 | const union xnn_f16_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:57:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_UKERNEL_FUNCTION’ 57 | DECLARE_F16_VBINOP_UKERNEL_FUNCTION(xnn_f16_vmin_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vminc-f16c-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vminc-f16c-x8.c:24:40: warning: argument 5 of type ‘const union xnn_f16_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vminc-f16c-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:27:45: note: previously declared as ‘const union xnn_f16_default_params *’ 27 | const union xnn_f16_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:111:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_UKERNEL_FUNCTION’ 111 | DECLARE_F16_VBINOP_UKERNEL_FUNCTION(xnn_f16_vminc_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vminc-f16c-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vminc-f16c-x16.c:24:40: warning: argument 5 of type ‘const union xnn_f16_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vminc-f16c-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:27:45: note: previously declared as ‘const union xnn_f16_default_params *’ 27 | const union xnn_f16_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:112:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_UKERNEL_FUNCTION’ 112 | DECLARE_F16_VBINOP_UKERNEL_FUNCTION(xnn_f16_vminc_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmul-minmax-f16c-x8.c.o [ 58%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/DynamicLibrary.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vmul-minmax-f16c-x8.c:24:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vmul-minmax-f16c-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:87:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 87 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vmul_minmax_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmul-minmax-f16c-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vmul-minmax-f16c-x16.c:24:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vmul-minmax-f16c-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:88:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 88 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vmul_minmax_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmulc-minmax-f16c-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vmulc-minmax-f16c-x8.c:24:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vmulc-minmax-f16c-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:152:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 152 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vmulc_minmax_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmulc-minmax-f16c-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vmulc-minmax-f16c-x16.c:24:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vmulc-minmax-f16c-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:153:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 153 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vmulc_minmax_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vrdivc-minmax-f16c-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vrdivc-minmax-f16c-x8.c:24:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vrdivc-minmax-f16c-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:154:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 154 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vrdivc_minmax_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vrdivc-minmax-f16c-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vrdivc-minmax-f16c-x16.c:24:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vrdivc-minmax-f16c-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:155:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 155 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vrdivc_minmax_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vrsubc-minmax-f16c-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vrsubc-minmax-f16c-x8.c:24:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vrsubc-minmax-f16c-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:156:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 156 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vrsubc_minmax_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vrsubc-minmax-f16c-x16.c.o [ 58%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/EmptyTensor.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vrsubc-minmax-f16c-x16.c:24:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vrsubc-minmax-f16c-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:157:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 157 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vrsubc_minmax_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsqrdiff-f16c-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vsqrdiff-f16c-x8.c:24:40: warning: argument 5 of type ‘const union xnn_f16_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vsqrdiff-f16c-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:27:45: note: previously declared as ‘const union xnn_f16_default_params *’ 27 | const union xnn_f16_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:58:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_UKERNEL_FUNCTION’ 58 | DECLARE_F16_VBINOP_UKERNEL_FUNCTION(xnn_f16_vsqrdiff_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsqrdiff-f16c-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vsqrdiff-f16c-x16.c:24:40: warning: argument 5 of type ‘const union xnn_f16_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vsqrdiff-f16c-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:27:45: note: previously declared as ‘const union xnn_f16_default_params *’ 27 | const union xnn_f16_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:59:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_UKERNEL_FUNCTION’ 59 | DECLARE_F16_VBINOP_UKERNEL_FUNCTION(xnn_f16_vsqrdiff_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsqrdiffc-f16c-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vsqrdiffc-f16c-x8.c:24:40: warning: argument 5 of type ‘const union xnn_f16_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vsqrdiffc-f16c-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:27:45: note: previously declared as ‘const union xnn_f16_default_params *’ 27 | const union xnn_f16_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:113:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_UKERNEL_FUNCTION’ 113 | DECLARE_F16_VBINOP_UKERNEL_FUNCTION(xnn_f16_vsqrdiffc_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsqrdiffc-f16c-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vsqrdiffc-f16c-x16.c:24:40: warning: argument 5 of type ‘const union xnn_f16_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vsqrdiffc-f16c-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:27:45: note: previously declared as ‘const union xnn_f16_default_params *’ 27 | const union xnn_f16_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:114:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_UKERNEL_FUNCTION’ 114 | DECLARE_F16_VBINOP_UKERNEL_FUNCTION(xnn_f16_vsqrdiffc_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/ExpandUtils.cpp.o [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsub-minmax-f16c-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vsub-minmax-f16c-x8.c:24:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vsub-minmax-f16c-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:89:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 89 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vsub_minmax_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsub-minmax-f16c-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vsub-minmax-f16c-x16.c:24:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vsub-minmax-f16c-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:90:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 90 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vsub_minmax_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsubc-minmax-f16c-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vsubc-minmax-f16c-x8.c:24:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vsubc-minmax-f16c-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:158:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 158 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vsubc_minmax_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsubc-minmax-f16c-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vsubc-minmax-f16c-x16.c:24:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vsubc-minmax-f16c-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:159:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 159 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vsubc_minmax_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vclamp/gen/f16-vclamp-f16c-x8.c.o [ 58%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/FuncTorchTLS.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vclamp/gen/f16-vclamp-f16c-x8.c:23:39: warning: argument 4 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vclamp/gen/f16-vclamp-f16c-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:38:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 38 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:43:1: note: in expansion of macro ‘DECLARE_F16_VCLAMP_UKERNEL_FUNCTION’ 43 | DECLARE_F16_VCLAMP_UKERNEL_FUNCTION(xnn_f16_vclamp_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/FunctionalInverses.cpp.o [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vclamp/gen/f16-vclamp-f16c-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vclamp/gen/f16-vclamp-f16c-x16.c:23:39: warning: argument 4 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vclamp/gen/f16-vclamp-f16c-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:38:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 38 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:44:1: note: in expansion of macro ‘DECLARE_F16_VCLAMP_UKERNEL_FUNCTION’ 44 | DECLARE_F16_VCLAMP_UKERNEL_FUNCTION(xnn_f16_vclamp_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vhswish/gen/f16-vhswish-f16c-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vhswish/gen/f16-vhswish-f16c-x8.c:23:39: warning: argument 4 of type ‘const union xnn_f16_hswish_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_hswish_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vhswish/gen/f16-vhswish-f16c-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:66:42: note: previously declared as ‘const union xnn_f16_hswish_params *’ 66 | const union xnn_f16_hswish_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:71:1: note: in expansion of macro ‘DECLARE_F16_VHSWISH_UKERNEL_FUNCTION’ 71 | DECLARE_F16_VHSWISH_UKERNEL_FUNCTION(xnn_f16_vhswish_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vhswish/gen/f16-vhswish-f16c-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vhswish/gen/f16-vhswish-f16c-x16.c:23:39: warning: argument 4 of type ‘const union xnn_f16_hswish_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_hswish_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vhswish/gen/f16-vhswish-f16c-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:66:42: note: previously declared as ‘const union xnn_f16_hswish_params *’ 66 | const union xnn_f16_hswish_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:72:1: note: in expansion of macro ‘DECLARE_F16_VHSWISH_UKERNEL_FUNCTION’ 72 | DECLARE_F16_VHSWISH_UKERNEL_FUNCTION(xnn_f16_vhswish_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vlrelu/gen/f16-vlrelu-f16c-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vlrelu/gen/f16-vlrelu-f16c-x8.c:23:38: warning: argument 4 of type ‘const union xnn_f16_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vlrelu/gen/f16-vlrelu-f16c-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:534:41: note: previously declared as ‘const union xnn_f16_lrelu_params *’ 534 | const union xnn_f16_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:539:1: note: in expansion of macro ‘DECLARE_F16_VLRELU_UKERNEL_FUNCTION’ 539 | DECLARE_F16_VLRELU_UKERNEL_FUNCTION(xnn_f16_vlrelu_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vlrelu/gen/f16-vlrelu-f16c-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vlrelu/gen/f16-vlrelu-f16c-x16.c:23:38: warning: argument 4 of type ‘const union xnn_f16_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vlrelu/gen/f16-vlrelu-f16c-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:534:41: note: previously declared as ‘const union xnn_f16_lrelu_params *’ 534 | const union xnn_f16_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:540:1: note: in expansion of macro ‘DECLARE_F16_VLRELU_UKERNEL_FUNCTION’ 540 | DECLARE_F16_VLRELU_UKERNEL_FUNCTION(xnn_f16_vlrelu_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vrnd/gen/f16-vrndd-f16c-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vrnd/gen/f16-vrndd-f16c-x8.c:24:36: warning: argument 4 of type ‘const union xnn_f16_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vrnd/gen/f16-vrndd-f16c-x8.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:95:39: note: previously declared as ‘const union xnn_f16_rnd_params *’ 95 | const union xnn_f16_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:112:1: note: in expansion of macro ‘DECLARE_F16_VRND_UKERNEL_FUNCTION’ 112 | DECLARE_F16_VRND_UKERNEL_FUNCTION(xnn_f16_vrndd_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vrnd/gen/f16-vrndd-f16c-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vrnd/gen/f16-vrndd-f16c-x16.c:24:36: warning: argument 4 of type ‘const union xnn_f16_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vrnd/gen/f16-vrndd-f16c-x16.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:95:39: note: previously declared as ‘const union xnn_f16_rnd_params *’ 95 | const union xnn_f16_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:113:1: note: in expansion of macro ‘DECLARE_F16_VRND_UKERNEL_FUNCTION’ 113 | DECLARE_F16_VRND_UKERNEL_FUNCTION(xnn_f16_vrndd_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vrnd/gen/f16-vrndne-f16c-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vrnd/gen/f16-vrndne-f16c-x8.c:24:36: warning: argument 4 of type ‘const union xnn_f16_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vrnd/gen/f16-vrndne-f16c-x8.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:95:39: note: previously declared as ‘const union xnn_f16_rnd_params *’ 95 | const union xnn_f16_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:97:1: note: in expansion of macro ‘DECLARE_F16_VRND_UKERNEL_FUNCTION’ 97 | DECLARE_F16_VRND_UKERNEL_FUNCTION(xnn_f16_vrndne_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vrnd/gen/f16-vrndne-f16c-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vrnd/gen/f16-vrndne-f16c-x16.c:24:36: warning: argument 4 of type ‘const union xnn_f16_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vrnd/gen/f16-vrndne-f16c-x16.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:95:39: note: previously declared as ‘const union xnn_f16_rnd_params *’ 95 | const union xnn_f16_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:98:1: note: in expansion of macro ‘DECLARE_F16_VRND_UKERNEL_FUNCTION’ 98 | DECLARE_F16_VRND_UKERNEL_FUNCTION(xnn_f16_vrndne_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vrnd/gen/f16-vrndu-f16c-x8.c.o [ 58%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/FunctionalStorageImpl.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vrnd/gen/f16-vrndu-f16c-x8.c:24:36: warning: argument 4 of type ‘const union xnn_f16_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vrnd/gen/f16-vrndu-f16c-x8.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:95:39: note: previously declared as ‘const union xnn_f16_rnd_params *’ 95 | const union xnn_f16_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:107:1: note: in expansion of macro ‘DECLARE_F16_VRND_UKERNEL_FUNCTION’ 107 | DECLARE_F16_VRND_UKERNEL_FUNCTION(xnn_f16_vrndu_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vrnd/gen/f16-vrndu-f16c-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vrnd/gen/f16-vrndu-f16c-x16.c:24:36: warning: argument 4 of type ‘const union xnn_f16_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vrnd/gen/f16-vrndu-f16c-x16.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:95:39: note: previously declared as ‘const union xnn_f16_rnd_params *’ 95 | const union xnn_f16_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:108:1: note: in expansion of macro ‘DECLARE_F16_VRND_UKERNEL_FUNCTION’ 108 | DECLARE_F16_VRND_UKERNEL_FUNCTION(xnn_f16_vrndu_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vrnd/gen/f16-vrndz-f16c-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vrnd/gen/f16-vrndz-f16c-x8.c:24:36: warning: argument 4 of type ‘const union xnn_f16_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vrnd/gen/f16-vrndz-f16c-x8.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:95:39: note: previously declared as ‘const union xnn_f16_rnd_params *’ 95 | const union xnn_f16_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:102:1: note: in expansion of macro ‘DECLARE_F16_VRND_UKERNEL_FUNCTION’ 102 | DECLARE_F16_VRND_UKERNEL_FUNCTION(xnn_f16_vrndz_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vrnd/gen/f16-vrndz-f16c-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vrnd/gen/f16-vrndz-f16c-x16.c:24:36: warning: argument 4 of type ‘const union xnn_f16_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vrnd/gen/f16-vrndz-f16c-x16.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:95:39: note: previously declared as ‘const union xnn_f16_rnd_params *’ 95 | const union xnn_f16_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:103:1: note: in expansion of macro ‘DECLARE_F16_VRND_UKERNEL_FUNCTION’ 103 | DECLARE_F16_VRND_UKERNEL_FUNCTION(xnn_f16_vrndz_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vsqrt/gen/f16-vsqrt-f16c-sqrt-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsqrt/gen/f16-vsqrt-f16c-sqrt-x8.c:23:37: warning: argument 4 of type ‘const union xnn_f16_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsqrt/gen/f16-vsqrt-f16c-sqrt-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:190:40: note: previously declared as ‘const union xnn_f16_sqrt_params *’ 190 | const union xnn_f16_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:204:1: note: in expansion of macro ‘DECLARE_F16_VSQRT_UKERNEL_FUNCTION’ 204 | DECLARE_F16_VSQRT_UKERNEL_FUNCTION(xnn_f16_vsqrt_ukernel__f16c_sqrt_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vsqrt/gen/f16-vsqrt-f16c-sqrt-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsqrt/gen/f16-vsqrt-f16c-sqrt-x16.c:23:37: warning: argument 4 of type ‘const union xnn_f16_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsqrt/gen/f16-vsqrt-f16c-sqrt-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:190:40: note: previously declared as ‘const union xnn_f16_sqrt_params *’ 190 | const union xnn_f16_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:205:1: note: in expansion of macro ‘DECLARE_F16_VSQRT_UKERNEL_FUNCTION’ 205 | DECLARE_F16_VSQRT_UKERNEL_FUNCTION(xnn_f16_vsqrt_ukernel__f16c_sqrt_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vunary/gen/f16-vsqr-f16c-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vunary/gen/f16-vsqr-f16c-x8.c:23:40: warning: argument 4 of type ‘const union xnn_f16_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vunary/gen/f16-vsqr-f16c-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:176:43: note: previously declared as ‘const union xnn_f16_default_params *’ 176 | const union xnn_f16_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:181:1: note: in expansion of macro ‘DECLARE_F16_VSQR_UKERNEL_FUNCTION’ 181 | DECLARE_F16_VSQR_UKERNEL_FUNCTION(xnn_f16_vsqr_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vunary/gen/f16-vsqr-f16c-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vunary/gen/f16-vsqr-f16c-x16.c:23:40: warning: argument 4 of type ‘const union xnn_f16_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vunary/gen/f16-vsqr-f16c-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:176:43: note: previously declared as ‘const union xnn_f16_default_params *’ 176 | const union xnn_f16_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:182:1: note: in expansion of macro ‘DECLARE_F16_VSQR_UKERNEL_FUNCTION’ 182 | DECLARE_F16_VSQR_UKERNEL_FUNCTION(xnn_f16_vsqr_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-f16c-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-f16c-x8.c:23:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-f16c-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:131:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 131 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-f16c-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-f16c-x16.c:23:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-f16c-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:132:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 132 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/cvt-f16-f32-f16c.c.o [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/cvt-f32-f16-f16c.c.o [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-3p16c-minmax-fp32-xop-mul16-add16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-3p16c-minmax-fp32-xop-mul16-add16.c:32:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-3p16c-minmax-fp32-xop-mul16-add16.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:949:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 949 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_3p16c__xop_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-xop-mul16-add16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-xop-mul16-add16.c:32:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-xop-mul16-add16.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:980:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 980 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p8c__xop_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/FunctionalTensorWrapper.cpp.o [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-xop-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-xop-mul32.c:33:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-xop-mul32.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1000:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1000 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p8c__xop_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-xop-mul16-add16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-xop-mul16-add16.c:32:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-xop-mul16-add16.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:981:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 981 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p16c__xop_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-xop-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-xop-mul32.c:33:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-xop-mul32.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1001:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1001 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p16c__xop_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p24c-minmax-fp32-xop-mul32.c.o [ 59%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/FunctionalizeFallbackKernel.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p24c-minmax-fp32-xop-mul32.c:33:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p24c-minmax-fp32-xop-mul32.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1002:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1002 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p24c__xop_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-xop-mul16-add16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-xop-mul16-add16.c:32:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-xop-mul16-add16.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1057:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1057 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p8c__xop_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-xop-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-xop-mul32.c:33:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-xop-mul32.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1077:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1077 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p8c__xop_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-xop-mul16-add16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-xop-mul16-add16.c:32:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-xop-mul16-add16.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1058:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1058 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p16c__xop_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-xop-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-xop-mul32.c:33:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-xop-mul32.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1078:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1078 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p16c__xop_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p24c-minmax-fp32-xop-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p24c-minmax-fp32-xop-mul32.c:33:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p24c-minmax-fp32-xop-mul32.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1079:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1079 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p24c__xop_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4c2-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2-minmax-fp32-xop-ld64.c:34:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1798:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1798 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c2__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4c2-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2-minmax-fp32-xop-ld128.c:34:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1818:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1818 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c2__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4c2s4-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2s4-minmax-fp32-xop-ld64.c:34:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2s4-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1838:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1838 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c2s4__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4c2s4-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2s4-minmax-fp32-xop-ld128.c:34:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2s4-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1858:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1858 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c2s4__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4c8-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c8-minmax-fp32-xop-ld64.c:33:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c8-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1875:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1875 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4c8-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c8-minmax-fp32-xop-ld128.c:33:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c8-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1891:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1891 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c8__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4c2-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2-minmax-fp32-xop-ld64.c:34:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1799:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1799 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4c2__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4c2-minmax-fp32-xop-ld128.c.o [ 59%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/LegacyBatchedFallback.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2-minmax-fp32-xop-ld128.c:34:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1819:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1819 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4c2__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4c2s4-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2s4-minmax-fp32-xop-ld64.c:34:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2s4-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1839:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1839 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4c2s4__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4c2s4-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2s4-minmax-fp32-xop-ld128.c:34:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2s4-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1859:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1859 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4c2s4__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4c8-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c8-minmax-fp32-xop-ld64.c:33:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c8-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1876:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1876 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4c8-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c8-minmax-fp32-xop-ld128.c:33:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c8-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1892:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1892 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4c8__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4c2-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2-minmax-fp32-xop-ld64.c:34:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1800:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1800 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4c2__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/LegacyBatchedTensorImpl.cpp.o [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4c2-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2-minmax-fp32-xop-ld128.c:34:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1820:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1820 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4c2__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4c2s4-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2s4-minmax-fp32-xop-ld64.c:34:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2s4-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1840:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1840 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4c2s4__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4c2s4-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2s4-minmax-fp32-xop-ld128.c:34:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2s4-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1860:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1860 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4c2s4__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4c8-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c8-minmax-fp32-xop-ld64.c:33:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c8-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1877:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1877 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4c8-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c8-minmax-fp32-xop-ld128.c:33:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c8-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1893:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1893 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4c8__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-4x4c2-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2-minmax-fp32-xop-ld64.c:34:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1801:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1801 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_4x4c2__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-4x4c2-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2-minmax-fp32-xop-ld128.c:34:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1821:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1821 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_4x4c2__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-4x4c2s4-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2s4-minmax-fp32-xop-ld64.c:34:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2s4-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1841:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1841 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_4x4c2s4__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-4x4c2s4-minmax-fp32-xop-ld128.c.o [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4c2-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2s4-minmax-fp32-xop-ld128.c:34:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2s4-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1861:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1861 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_4x4c2s4__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4c2-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1467:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1467 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c2__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4c2s4-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1487:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1487 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c2__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4c2s4-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2s4-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2s4-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1507:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1507 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c2s4__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4c8-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2s4-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2s4-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1527:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1527 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c2s4__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c8-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c8-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1544:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1544 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4c8-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c8-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c8-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1560:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1560 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c8__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/LegacyBatchingRegistrations.cpp.o [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4c2-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1468:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1468 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x4c2__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4c2-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1488:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1488 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x4c2__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4c2s4-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2s4-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2s4-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1508:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1508 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x4c2s4__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4c2s4-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2s4-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2s4-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1528:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1528 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x4c2s4__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4c8-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c8-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c8-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1545:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1545 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4c8-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c8-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c8-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1561:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1561 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x4c8__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4c2-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1469:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1469 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x4c2__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4c2-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1489:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1489 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x4c2__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4c2s4-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2s4-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2s4-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1509:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1509 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x4c2s4__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4c2s4-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2s4-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2s4-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1529:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1529 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x4c2s4__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4c8-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c8-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c8-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1546:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1546 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4c8-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c8-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c8-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1562:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1562 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x4c8__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-4x4c2-minmax-fp32-xop-ld64.c.o [ 59%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/LegacyVmapMode.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1470:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1470 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_4x4c2__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-4x4c2-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1490:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1490 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_4x4c2__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-4x4c2s4-minmax-fp32-xop-ld64.c.o [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-4x4c2s4-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2s4-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2s4-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1510:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1510 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_4x4c2s4__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-xop-mul16-add16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2s4-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2s4-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1530:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1530 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_4x4c2s4__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-xop-mul16-add16.c:32:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-xop-mul16-add16.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:716:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 716 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p8c__xop_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-xop-mul32.c.o [ 60%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/LegacyVmapTransforms.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-xop-mul32.c:33:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-xop-mul32.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:736:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 736 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p8c__xop_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-xop-mul16-add16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-xop-mul16-add16.c:32:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-xop-mul16-add16.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:717:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 717 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p16c__xop_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-xop-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-xop-mul32.c:33:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-xop-mul32.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:737:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 737 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p16c__xop_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p24c-minmax-fp32-xop-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p24c-minmax-fp32-xop-mul32.c:33:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p24c-minmax-fp32-xop-mul32.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:738:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 738 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p24c__xop_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-xop-mul16-add16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-xop-mul16-add16.c:32:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-xop-mul16-add16.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:812:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 812 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p8c__xop_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-xop-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-xop-mul32.c:33:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-xop-mul32.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:832:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 832 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p8c__xop_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-xop-mul16-add16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-xop-mul16-add16.c:32:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-xop-mul16-add16.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:813:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 813 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p16c__xop_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-xop-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-xop-mul32.c:33:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-xop-mul32.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:833:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 833 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p16c__xop_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p24c-minmax-fp32-xop-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p24c-minmax-fp32-xop-mul32.c:33:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p24c-minmax-fp32-xop-mul32.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:834:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 834 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p24c__xop_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c2-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2-minmax-fp32-xop-ld64.c:34:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1344:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1344 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c2__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c2-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2-minmax-fp32-xop-ld128.c:34:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1364:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1364 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c2__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c2-xw-minmax-fp32-xop.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2-xw-minmax-fp32-xop.c:34:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2-xw-minmax-fp32-xop.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1495:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1495 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_1x4c2__xop) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-minmax-fp32-xop-ld64.c:34:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1384:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1384 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c2s4__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-minmax-fp32-xop-ld128.c:34:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1404:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1404 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c2s4__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-xw-minmax-fp32-xop.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-xw-minmax-fp32-xop.c:34:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-xw-minmax-fp32-xop.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1500:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1500 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_1x4c2s4__xop) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-xop-ld64.c:33:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1425:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1425 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-xop-ld128.c:33:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1445:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1445 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c8__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c8-xw-minmax-fp32-xop.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-xw-minmax-fp32-xop.c:33:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-xw-minmax-fp32-xop.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1505:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1505 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_1x4c8__xop) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c2-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2-minmax-fp32-xop-ld64.c:34:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1345:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1345 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c2__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c2-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2-minmax-fp32-xop-ld128.c:34:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1365:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1365 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c2__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c2-xw-minmax-fp32-xop.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2-xw-minmax-fp32-xop.c:34:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2-xw-minmax-fp32-xop.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1496:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1496 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_2x4c2__xop) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-minmax-fp32-xop-ld64.c:34:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1385:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1385 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c2s4__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-minmax-fp32-xop-ld128.c:34:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1405:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1405 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c2s4__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-xw-minmax-fp32-xop.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-xw-minmax-fp32-xop.c:34:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-xw-minmax-fp32-xop.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1501:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1501 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_2x4c2s4__xop) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-xop-ld64.c:33:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1426:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1426 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-xop-ld128.c:33:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1446:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1446 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c8__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c8-xw-minmax-fp32-xop.c.o [ 60%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/MapAllocator.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-xw-minmax-fp32-xop.c:33:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-xw-minmax-fp32-xop.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1506:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1506 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_2x4c8__xop) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c2-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2-minmax-fp32-xop-ld64.c:34:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1346:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1346 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c2__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c2-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2-minmax-fp32-xop-ld128.c:34:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1366:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1366 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c2__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c2-xw-minmax-fp32-xop.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2-xw-minmax-fp32-xop.c:34:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2-xw-minmax-fp32-xop.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1497:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1497 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_3x4c2__xop) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-minmax-fp32-xop-ld64.c:34:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1386:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1386 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c2s4__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-minmax-fp32-xop-ld128.c:34:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1406:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1406 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c2s4__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-xw-minmax-fp32-xop.c.o [ 60%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/MemoryOverlap.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-xw-minmax-fp32-xop.c:34:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-xw-minmax-fp32-xop.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1502:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1502 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_3x4c2s4__xop) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-xop-ld64.c:33:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1427:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1427 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-xop-ld128.c:33:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1447:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1447 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c8__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c8-xw-minmax-fp32-xop.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-xw-minmax-fp32-xop.c:33:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-xw-minmax-fp32-xop.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1507:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1507 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_3x4c8__xop) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4c2-minmax-fp32-xop-ld64.c.o [ 60%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/NamedTensorUtils.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2-minmax-fp32-xop-ld64.c:34:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1347:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1347 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_4x4c2__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4c2-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2-minmax-fp32-xop-ld128.c:34:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1367:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1367 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_4x4c2__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4c2-xw-minmax-fp32-xop.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2-xw-minmax-fp32-xop.c:34:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2-xw-minmax-fp32-xop.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1498:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1498 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_4x4c2__xop) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-minmax-fp32-xop-ld64.c.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_premulsum_u8.o [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-minmax-fp32-xop-ld64.c:34:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1387:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1387 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_4x4c2s4__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-xw-minmax-fp32-xop.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-minmax-fp32-xop-ld128.c:34:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1407:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1407 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_4x4c2s4__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-xw-minmax-fp32-xop.c:34:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-xw-minmax-fp32-xop.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1503:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1503 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_4x4c2s4__xop) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4c2-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1090:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1090 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c2__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4c2-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1110:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1110 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c2__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4c2s4-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2s4-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2s4-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1130:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1130 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c2s4__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4c2s4-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2s4-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2s4-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1150:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1150 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c2s4__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1171:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1171 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1191:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1191 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c8__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4c2-minmax-fp32-xop-ld64.c.o [ 60%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/NestedTensorImpl.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1091:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1091 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c2__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4c2-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1111:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1111 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c2__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4c2s4-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2s4-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2s4-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1131:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1131 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c2s4__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4c2s4-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2s4-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2s4-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1151:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1151 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c2s4__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1172:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1172 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1192:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1192 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c8__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4c2-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1092:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1092 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c2__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4c2-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1112:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1112 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c2__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4c2s4-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2s4-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2s4-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1132:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1132 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c2s4__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4c2s4-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2s4-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2s4-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1152:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1152 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c2s4__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1173:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1173 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1193:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1193 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c8__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-4x4c2-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1093:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1093 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_4x4c2__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-4x4c2-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1113:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1113 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_4x4c2__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-4x4c2s4-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2s4-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2s4-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1133:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1133 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_4x4c2s4__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-4x4c2s4-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2s4-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2s4-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1153:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1153 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_4x4c2s4__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-xop-mul32-ld32-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-xop-mul32-ld32-x8.c:28:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-xop-mul32-ld32-x8.c:20: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:148:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 148 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__xop_mul32_ld32_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-xop-mul32-ld32-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-xop-mul32-ld32-x16.c:28:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-xop-mul32-ld32-x16.c:20: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:149:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 149 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__xop_mul32_ld32_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-xop-mul32-ld32-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-xop-mul32-ld32-x24.c:28:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-xop-mul32-ld32-x24.c:20: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:150:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 150 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__xop_mul32_ld32_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-xop-mul32-ld32-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-xop-mul32-ld32-x32.c:28:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-xop-mul32-ld32-x32.c:20: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:151:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 151 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__xop_mul32_ld32_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-xop-mul32-ld32-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-xop-mul32-ld32-x8.c:28:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-xop-mul32-ld32-x8.c:20: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:203:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 203 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__xop_mul32_ld32_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-xop-mul32-ld32-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-xop-mul32-ld32-x16.c:28:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-xop-mul32-ld32-x16.c:20: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:204:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 204 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__xop_mul32_ld32_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-xop-mul32-ld32-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-xop-mul32-ld32-x24.c:28:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-xop-mul32-ld32-x24.c:20: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:205:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 205 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__xop_mul32_ld32_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-xop-mul32-ld32-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-xop-mul32-ld32-x32.c:28:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-xop-mul32-ld32-x32.c:20: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:206:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 206 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__xop_mul32_ld32_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p8c-minmax-fp32-xop-mul32.c.o [ 61%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/ParallelCommon.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p8c-minmax-fp32-xop-mul32.c:33:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p8c-minmax-fp32-xop-mul32.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:560:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 560 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p8c__xop_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-xop-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-xop-mul32.c:33:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-xop-mul32.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:561:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 561 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p16c__xop_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p8c-minmax-fp32-xop-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p8c-minmax-fp32-xop-mul32.c:33:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p8c-minmax-fp32-xop-mul32.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:620:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 620 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p8c__xop_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-xop-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-xop-mul32.c:33:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-xop-mul32.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:621:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 621 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p16c__xop_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/ParallelNative.cpp.o [ 61%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/ParallelNativeTBB.cpp.o [ 61%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/ParallelOpenMP.cpp.o [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c2-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2-minmax-fp32-xop-ld64.c:34:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:767:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 767 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c2__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c2-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2-minmax-fp32-xop-ld128.c:34:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:787:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 787 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c2__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c2s4-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2s4-minmax-fp32-xop-ld64.c:34:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2s4-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:807:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 807 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c2s4__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c2s4-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2s4-minmax-fp32-xop-ld128.c:34:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2s4-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:827:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 827 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c2s4__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c8-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c8-minmax-fp32-xop-ld64.c:33:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c8-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:844:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 844 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c8-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c8-minmax-fp32-xop-ld128.c:33:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c8-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:860:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 860 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c8__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4c2-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2-minmax-fp32-xop-ld64.c:34:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:768:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 768 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4c2__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4c2-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2-minmax-fp32-xop-ld128.c:34:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:788:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 788 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4c2__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4c2s4-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2s4-minmax-fp32-xop-ld64.c:34:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2s4-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:808:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 808 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4c2s4__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4c2s4-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2s4-minmax-fp32-xop-ld128.c:34:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2s4-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:828:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 828 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4c2s4__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4c8-minmax-fp32-xop-ld64.c.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_premulsum_i32.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_premulsum_i8.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_max_bf16.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c8-minmax-fp32-xop-ld64.c:33:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c8-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:845:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 845 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4c8-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c8-minmax-fp32-xop-ld128.c:33:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c8-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:861:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 861 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4c8__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4c2-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2-minmax-fp32-xop-ld64.c:34:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:769:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 769 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4c2__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4c2-minmax-fp32-xop-ld128.c.o [ 61%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/ParallelThreadPoolNative.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2-minmax-fp32-xop-ld128.c:34:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:789:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 789 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4c2__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4c2s4-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2s4-minmax-fp32-xop-ld64.c:34:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2s4-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:809:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 809 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4c2s4__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4c2s4-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2s4-minmax-fp32-xop-ld128.c:34:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2s4-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:829:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 829 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4c2s4__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4c8-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c8-minmax-fp32-xop-ld64.c:33:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c8-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:846:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 846 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4c8-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c8-minmax-fp32-xop-ld128.c:33:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c8-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:862:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 862 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4c8__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x4c2-minmax-fp32-xop-ld64.c.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_max_f64.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_max_f32.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_max_f16.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_max_u64.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_max_i64.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_max_u32.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_max_i32.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_max_u8.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_max_i8.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_min_bf16.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2-minmax-fp32-xop-ld64.c:34:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:770:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 770 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_4x4c2__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x4c2-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2-minmax-fp32-xop-ld128.c:34:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:790:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 790 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_4x4c2__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x4c2s4-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2s4-minmax-fp32-xop-ld64.c:34:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2s4-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:810:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 810 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_4x4c2s4__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x4c2s4-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2s4-minmax-fp32-xop-ld128.c:34:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2s4-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:830:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 830 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_4x4c2s4__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4c2-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:520:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 520 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c2__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4c2-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:540:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 540 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c2__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4c2s4-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2s4-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2s4-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:560:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 560 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c2s4__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4c2s4-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2s4-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2s4-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:580:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 580 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c2s4__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4c8-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c8-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c8-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:597:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 597 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4c8-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c8-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c8-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:613:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 613 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c8__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4c2-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:521:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 521 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x4c2__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4c2-minmax-fp32-xop-ld128.c.o [ 61%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/PythonTorchFunctionTLS.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:541:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 541 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x4c2__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4c2s4-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2s4-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2s4-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:561:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 561 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x4c2s4__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4c2s4-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2s4-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2s4-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:581:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 581 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x4c2s4__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4c8-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c8-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c8-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:598:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 598 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4c8-minmax-fp32-xop-ld128.c.o [ 61%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/SavedTensorHooks.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c8-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c8-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:614:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 614 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x4c8__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4c2-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:522:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 522 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x4c2__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4c2-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:542:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 542 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x4c2__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4c2s4-minmax-fp32-xop-ld64.c.o [ 61%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/ScalarOps.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2s4-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2s4-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:562:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 562 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x4c2s4__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4c2s4-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2s4-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2s4-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:582:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 582 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x4c2s4__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4c8-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c8-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c8-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:599:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 599 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4c8-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c8-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c8-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:615:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 615 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x4c8__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x4c2-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:523:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 523 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_4x4c2__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x4c2-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:543:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 543 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_4x4c2__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x4c2s4-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2s4-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2s4-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:563:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 563 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_4x4c2s4__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x4c2s4-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2s4-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2s4-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:583:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 583 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_4x4c2s4__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vadd/gen/qu8-vadd-minmax-xop-mul32-ld32-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-xop-mul32-ld32-x8.c:28:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-xop-mul32-ld32-x8.c:20: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:51:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 51 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vadd_minmax_ukernel__xop_mul32_ld32_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vadd/gen/qu8-vadd-minmax-xop-mul32-ld32-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-xop-mul32-ld32-x16.c:28:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-xop-mul32-ld32-x16.c:20: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:52:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 52 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vadd_minmax_ukernel__xop_mul32_ld32_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-xop-mul32-ld32-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-xop-mul32-ld32-x8.c:28:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-xop-mul32-ld32-x8.c:20: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:89:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 89 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vaddc_minmax_ukernel__xop_mul32_ld32_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-xop-mul32-ld32-x16.c.o [ 61%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/SequenceNumber.cpp.o [ 61%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/SparseCsrTensorImpl.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-xop-mul32-ld32-x16.c:28:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-xop-mul32-ld32-x16.c:20: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:90:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 90 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vaddc_minmax_ukernel__xop_mul32_ld32_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-3p8c-minmax-fma3-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-3p8c-minmax-fma3-acc2.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-3p8c-minmax-fma3-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:478:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 478 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_3p8c__fma3_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-3p8c-minmax-fma3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-3p8c-minmax-fma3.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-3p8c-minmax-fma3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:477:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 477 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_3p8c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-3p16c-minmax-fma3-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-3p16c-minmax-fma3-acc2.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-3p16c-minmax-fma3-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:480:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 480 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_3p16c__fma3_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-3p16c-minmax-fma3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-3p16c-minmax-fma3.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-3p16c-minmax-fma3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:479:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 479 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_3p16c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-3p32c-minmax-fma3-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-3p32c-minmax-fma3-acc2.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-3p32c-minmax-fma3-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:482:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 482 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_3p32c__fma3_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-3p32c-minmax-fma3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-3p32c-minmax-fma3.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-3p32c-minmax-fma3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:481:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 481 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_3p32c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-4p8c-minmax-fma3-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-4p8c-minmax-fma3-acc2.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-4p8c-minmax-fma3-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:484:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 484 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_4p8c__fma3_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-4p8c-minmax-fma3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-4p8c-minmax-fma3.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-4p8c-minmax-fma3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:483:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 483 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_4p8c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-4p16c-minmax-fma3-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-4p16c-minmax-fma3-acc2.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-4p16c-minmax-fma3-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:486:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 486 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_4p16c__fma3_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-4p16c-minmax-fma3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-4p16c-minmax-fma3.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-4p16c-minmax-fma3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:485:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 485 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_4p16c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-4p32c-minmax-fma3-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-4p32c-minmax-fma3-acc2.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-4p32c-minmax-fma3-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:488:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 488 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_4p32c__fma3_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-4p32c-minmax-fma3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-4p32c-minmax-fma3.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-4p32c-minmax-fma3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:487:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 487 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_4p32c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-9p8c-minmax-fma3-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-9p8c-minmax-fma3-acc2.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-9p8c-minmax-fma3-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:490:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 490 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_9p8c__fma3_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-9p8c-minmax-fma3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-9p8c-minmax-fma3.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-9p8c-minmax-fma3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:489:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 489 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_9p8c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-9p16c-minmax-fma3-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-9p16c-minmax-fma3-acc2.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-9p16c-minmax-fma3-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:492:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 492 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_9p16c__fma3_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-9p16c-minmax-fma3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-9p16c-minmax-fma3.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-9p16c-minmax-fma3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:491:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 491 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_9p16c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-9p32c-minmax-fma3-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-9p32c-minmax-fma3-acc2.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-9p32c-minmax-fma3-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:494:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 494 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_9p32c__fma3_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-9p32c-minmax-fma3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-9p32c-minmax-fma3.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-9p32c-minmax-fma3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:493:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 493 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_9p32c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-25p8c-minmax-fma3-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-25p8c-minmax-fma3-acc2.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-25p8c-minmax-fma3-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:496:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 496 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_25p8c__fma3_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-25p8c-minmax-fma3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-25p8c-minmax-fma3.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-25p8c-minmax-fma3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:495:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 495 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_25p8c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-25p16c-minmax-fma3-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-25p16c-minmax-fma3-acc2.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-25p16c-minmax-fma3-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:498:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 498 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_25p16c__fma3_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-25p16c-minmax-fma3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-25p16c-minmax-fma3.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-25p16c-minmax-fma3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:497:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 497 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_25p16c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-25p32c-minmax-fma3-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-25p32c-minmax-fma3-acc2.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-25p32c-minmax-fma3-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:500:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 500 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_25p32c__fma3_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-25p32c-minmax-fma3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-25p32c-minmax-fma3.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-25p32c-minmax-fma3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:499:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 499 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_25p32c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/SparseTensorImpl.cpp.o [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-ibilinear/gen/f16-ibilinear-fma3-c8.c.o [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-ibilinear/gen/f16-ibilinear-fma3-c16.c.o [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vmulcaddc/gen/f16-vmulcaddc-c8-minmax-fma3-2x.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vmulcaddc/gen/f16-vmulcaddc-c8-minmax-fma3-2x.c:27:39: warning: argument 8 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vmulcaddc/gen/f16-vmulcaddc-c8-minmax-fma3-2x.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmulcaddc.h:68:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 68 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmulcaddc.h:73:1: note: in expansion of macro ‘DECLARE_F16_VMULCADDC_MINMAX_UKERNEL_FUNCTION’ 73 | DECLARE_F16_VMULCADDC_MINMAX_UKERNEL_FUNCTION(xnn_f16_vmulcaddc_minmax_ukernel_c8__fma3_2x) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vmulcaddc/gen/f16-vmulcaddc-c16-minmax-fma3-2x.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vmulcaddc/gen/f16-vmulcaddc-c16-minmax-fma3-2x.c:27:39: warning: argument 8 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vmulcaddc/gen/f16-vmulcaddc-c16-minmax-fma3-2x.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmulcaddc.h:68:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 68 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmulcaddc.h:74:1: note: in expansion of macro ‘DECLARE_F16_VMULCADDC_MINMAX_UKERNEL_FUNCTION’ 74 | DECLARE_F16_VMULCADDC_MINMAX_UKERNEL_FUNCTION(xnn_f16_vmulcaddc_minmax_ukernel_c16__fma3_2x) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-2f2m2l8c8s4r-minmax-fma3-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l8c8s4r-minmax-fma3-acc2.c:32:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l8c8s4r-minmax-fma3-acc2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:76:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 76 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:90:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION’ 90 | DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_2f2m2l8c8s4r__fma3_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-2f2m2l8c8s4r-minmax-fma3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l8c8s4r-minmax-fma3.c:32:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l8c8s4r-minmax-fma3.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:76:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 76 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:89:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION’ 89 | DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_2f2m2l8c8s4r__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-2f2m2l16c8s4r-minmax-fma3-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l16c8s4r-minmax-fma3-acc2.c:32:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l16c8s4r-minmax-fma3-acc2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:76:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 76 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:92:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION’ 92 | DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_2f2m2l16c8s4r__fma3_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-2f2m2l16c8s4r-minmax-fma3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l16c8s4r-minmax-fma3.c:32:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l16c8s4r-minmax-fma3.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:76:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 76 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:91:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION’ 91 | DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_2f2m2l16c8s4r__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-2f2m2l32c8s4r-minmax-fma3-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l32c8s4r-minmax-fma3-acc2.c:32:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l32c8s4r-minmax-fma3-acc2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:76:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 76 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:94:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION’ 94 | DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_2f2m2l32c8s4r__fma3_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-2f2m2l32c8s4r-minmax-fma3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l32c8s4r-minmax-fma3.c:32:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l32c8s4r-minmax-fma3.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:76:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 76 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:93:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION’ 93 | DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_2f2m2l32c8s4r__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p8c-minmax-fma3-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p8c-minmax-fma3-acc2.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p8c-minmax-fma3-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:166:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 166 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_3p8c__fma3_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p8c-minmax-fma3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p8c-minmax-fma3.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p8c-minmax-fma3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:165:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 165 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_3p8c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p16c-minmax-fma3-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p16c-minmax-fma3-acc2.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p16c-minmax-fma3-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:178:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 178 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_3p16c__fma3_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p16c-minmax-fma3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p16c-minmax-fma3.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p16c-minmax-fma3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:177:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 177 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_3p16c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p8c-minmax-fma3-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p8c-minmax-fma3-acc2.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p8c-minmax-fma3-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:195:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 195 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_4p8c__fma3_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p8c-minmax-fma3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p8c-minmax-fma3.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p8c-minmax-fma3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:194:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 194 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_4p8c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p16c-minmax-fma3-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p16c-minmax-fma3-acc2.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p16c-minmax-fma3-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:207:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 207 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_4p16c__fma3_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p16c-minmax-fma3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p16c-minmax-fma3.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p16c-minmax-fma3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:206:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 206 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_4p16c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p8c-minmax-fma3-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p8c-minmax-fma3-acc2.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p8c-minmax-fma3-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:226:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 226 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_9p8c__fma3_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p8c-minmax-fma3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p8c-minmax-fma3.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p8c-minmax-fma3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:225:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 225 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_9p8c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p16c-minmax-fma3-acc2.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorImpl.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/c10/core/GeneratorImpl.h:8, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/core/Generator.h:22, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/CPUGeneratorImpl.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/Context.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/ATen.h:7, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/SparseTensorImpl.cpp:1: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h: In function ‘c10::DispatchKey c10::computeDispatchKey(optional, optional, optional)’: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:666:5: warning: this statement may fall through [-Wimplicit-fallthrough=] 666 | } | ^ /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:667:5: note: here 667 | case Layout::Sparse: | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p16c-minmax-fma3-acc2.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p16c-minmax-fma3-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:238:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 238 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_9p16c__fma3_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p16c-minmax-fma3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p16c-minmax-fma3.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p16c-minmax-fma3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:237:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 237 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_9p16c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p8c-minmax-fma3-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p8c-minmax-fma3-acc2.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p8c-minmax-fma3-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:255:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 255 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_25p8c__fma3_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p8c-minmax-fma3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p8c-minmax-fma3.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p8c-minmax-fma3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:254:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 254 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_25p8c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p16c-minmax-fma3-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p16c-minmax-fma3-acc2.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p16c-minmax-fma3-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:267:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 267 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_25p16c__fma3_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/SparseTensorUtils.cpp.o [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p16c-minmax-fma3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p16c-minmax-fma3.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p16c-minmax-fma3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:266:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 266 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_25p16c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-1x8-minmax-fma3-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-1x8-minmax-fma3-broadcast.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-1x8-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:261:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 261 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_1x8__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-1x16-minmax-fma3-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-1x16-minmax-fma3-broadcast.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-1x16-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:262:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 262 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_1x16__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-1x16s4-minmax-fma3-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-1x16s4-minmax-fma3-broadcast.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-1x16s4-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:272:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 272 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_1x16s4__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-3x16-minmax-fma3-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-3x16-minmax-fma3-broadcast.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-3x16-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:263:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 263 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_3x16__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-3x16s4-minmax-fma3-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-3x16s4-minmax-fma3-broadcast.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-3x16s4-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:273:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 273 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_3x16s4__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-4x8-minmax-fma3-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x8-minmax-fma3-broadcast.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x8-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:264:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 264 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_4x8__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-4x16-minmax-fma3-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x16-minmax-fma3-broadcast.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x16-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:265:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 265 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_4x16__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-4x16s4-minmax-fma3-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x16s4-minmax-fma3-broadcast.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x16s4-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:274:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 274 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_4x16s4__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-5x8-minmax-fma3-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-5x8-minmax-fma3-broadcast.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-5x8-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:266:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 266 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_5x8__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-5x16-minmax-fma3-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-5x16-minmax-fma3-broadcast.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-5x16-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:267:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 267 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_5x16__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-5x16s4-minmax-fma3-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-5x16s4-minmax-fma3-broadcast.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-5x16s4-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:275:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 275 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_5x16s4__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-6x8-minmax-fma3-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-6x8-minmax-fma3-broadcast.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-6x8-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:268:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 268 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_6x8__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-7x8-minmax-fma3-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-7x8-minmax-fma3-broadcast.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-7x8-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:269:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 269 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_7x8__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-8x8-minmax-fma3-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-8x8-minmax-fma3-broadcast.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-8x8-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:270:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 270 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_8x8__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-1x8-minmax-fma3-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-1x8-minmax-fma3-broadcast.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-1x8-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:567:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 567 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_1x8__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-1x16-minmax-fma3-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-1x16-minmax-fma3-broadcast.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-1x16-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:568:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 568 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_1x16__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-1x16s4-minmax-fma3-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-1x16s4-minmax-fma3-broadcast.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-1x16s4-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:578:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 578 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_1x16s4__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-3x16-minmax-fma3-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-3x16-minmax-fma3-broadcast.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-3x16-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:569:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 569 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_3x16__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-3x16s4-minmax-fma3-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-3x16s4-minmax-fma3-broadcast.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-3x16s4-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:579:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 579 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_3x16s4__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-4x8-minmax-fma3-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-4x8-minmax-fma3-broadcast.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-4x8-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:570:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 570 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_4x8__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-4x16-minmax-fma3-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-4x16-minmax-fma3-broadcast.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-4x16-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:571:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 571 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_4x16__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-4x16s4-minmax-fma3-broadcast.c.o [ 62%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/TensorGeometry.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-4x16s4-minmax-fma3-broadcast.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-4x16s4-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:580:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 580 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_4x16s4__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-5x8-minmax-fma3-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-5x8-minmax-fma3-broadcast.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-5x8-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:572:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 572 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_5x8__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-5x16-minmax-fma3-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-5x16-minmax-fma3-broadcast.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-5x16-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:573:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 573 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_5x16__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-5x16s4-minmax-fma3-broadcast.c.o [ 62%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/TensorIndexing.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-5x16s4-minmax-fma3-broadcast.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-5x16s4-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:581:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 581 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_5x16s4__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-6x8-minmax-fma3-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-6x8-minmax-fma3-broadcast.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-6x8-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:574:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 574 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_6x8__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-7x8-minmax-fma3-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-7x8-minmax-fma3-broadcast.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-7x8-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:575:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 575 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_7x8__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-8x8-minmax-fma3-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-8x8-minmax-fma3-broadcast.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-8x8-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:576:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 576 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_8x8__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-1x8-minmax-fma3-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-1x8-minmax-fma3-broadcast.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-1x8-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:175:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 175 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_1x8__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-1x16-minmax-fma3-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-1x16-minmax-fma3-broadcast.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-1x16-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:176:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 176 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_1x16__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-1x16s4-minmax-fma3-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-1x16s4-minmax-fma3-broadcast.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-1x16s4-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:186:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 186 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_1x16s4__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-3x16-minmax-fma3-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-3x16-minmax-fma3-broadcast.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-3x16-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:177:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 177 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_3x16__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-3x16s4-minmax-fma3-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-3x16s4-minmax-fma3-broadcast.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-3x16s4-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:187:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 187 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_3x16s4__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-4x8-minmax-fma3-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x8-minmax-fma3-broadcast.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x8-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:178:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 178 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_4x8__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-4x16-minmax-fma3-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x16-minmax-fma3-broadcast.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x16-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:179:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 179 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_4x16__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-4x16s4-minmax-fma3-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x16s4-minmax-fma3-broadcast.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x16s4-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:188:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 188 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_4x16s4__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-5x8-minmax-fma3-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-5x8-minmax-fma3-broadcast.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-5x8-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:180:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 180 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_5x8__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-5x16-minmax-fma3-broadcast.c.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_min_f64.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-5x16-minmax-fma3-broadcast.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-5x16-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:181:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 181 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_5x16__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-5x16s4-minmax-fma3-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-5x16s4-minmax-fma3-broadcast.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-5x16s4-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:189:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 189 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_5x16s4__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-6x8-minmax-fma3-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-6x8-minmax-fma3-broadcast.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-6x8-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:182:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 182 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_6x8__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-7x8-minmax-fma3-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-7x8-minmax-fma3-broadcast.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-7x8-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:183:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 183 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_7x8__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-8x8-minmax-fma3-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-8x8-minmax-fma3-broadcast.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-8x8-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:184:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 184 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_8x8__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/TensorIterator.cpp.o [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vhswish/gen/f32-vhswish-fma3-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vhswish/gen/f32-vhswish-fma3-x8.c:22:39: warning: argument 4 of type ‘const union xnn_f32_hswish_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_hswish_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vhswish/gen/f32-vhswish-fma3-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:498:42: note: previously declared as ‘const union xnn_f32_hswish_params *’ 498 | const union xnn_f32_hswish_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:510:1: note: in expansion of macro ‘DECLARE_F32_VHSWISH_UKERNEL_FUNCTION’ 510 | DECLARE_F32_VHSWISH_UKERNEL_FUNCTION(xnn_f32_vhswish_ukernel__fma3_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vhswish/gen/f32-vhswish-fma3-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vhswish/gen/f32-vhswish-fma3-x16.c:22:39: warning: argument 4 of type ‘const union xnn_f32_hswish_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_hswish_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vhswish/gen/f32-vhswish-fma3-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:498:42: note: previously declared as ‘const union xnn_f32_hswish_params *’ 498 | const union xnn_f32_hswish_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:511:1: note: in expansion of macro ‘DECLARE_F32_VHSWISH_UKERNEL_FUNCTION’ 511 | DECLARE_F32_VHSWISH_UKERNEL_FUNCTION(xnn_f32_vhswish_ukernel__fma3_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-fma3-nr1fma1adj-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-fma3-nr1fma1adj-x8.c:22:37: warning: argument 4 of type ‘const union xnn_f32_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-fma3-nr1fma1adj-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:734:40: note: previously declared as ‘const union xnn_f32_sqrt_params *’ 734 | const union xnn_f32_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:767:1: note: in expansion of macro ‘DECLARE_F32_VSQRT_UKERNEL_FUNCTION’ 767 | DECLARE_F32_VSQRT_UKERNEL_FUNCTION(xnn_f32_vsqrt_ukernel__fma3_nr1fma1adj_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-fma3-nr1fma1adj-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-fma3-nr1fma1adj-x16.c:22:37: warning: argument 4 of type ‘const union xnn_f32_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-fma3-nr1fma1adj-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:734:40: note: previously declared as ‘const union xnn_f32_sqrt_params *’ 734 | const union xnn_f32_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:768:1: note: in expansion of macro ‘DECLARE_F32_VSQRT_UKERNEL_FUNCTION’ 768 | DECLARE_F32_VSQRT_UKERNEL_FUNCTION(xnn_f32_vsqrt_ukernel__fma3_nr1fma1adj_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-fma3-nr1fma1adj-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-fma3-nr1fma1adj-x24.c:22:37: warning: argument 4 of type ‘const union xnn_f32_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-fma3-nr1fma1adj-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:734:40: note: previously declared as ‘const union xnn_f32_sqrt_params *’ 734 | const union xnn_f32_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:769:1: note: in expansion of macro ‘DECLARE_F32_VSQRT_UKERNEL_FUNCTION’ 769 | DECLARE_F32_VSQRT_UKERNEL_FUNCTION(xnn_f32_vsqrt_ukernel__fma3_nr1fma1adj_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-fma3-nr1fma1adj-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-fma3-nr1fma1adj-x32.c:22:37: warning: argument 4 of type ‘const union xnn_f32_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-fma3-nr1fma1adj-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:734:40: note: previously declared as ‘const union xnn_f32_sqrt_params *’ 734 | const union xnn_f32_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:770:1: note: in expansion of macro ‘DECLARE_F32_VSQRT_UKERNEL_FUNCTION’ 770 | DECLARE_F32_VSQRT_UKERNEL_FUNCTION(xnn_f32_vsqrt_ukernel__fma3_nr1fma1adj_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-fma3-nr1fma1adj-x40.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-fma3-nr1fma1adj-x40.c:22:37: warning: argument 4 of type ‘const union xnn_f32_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-fma3-nr1fma1adj-x40.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:734:40: note: previously declared as ‘const union xnn_f32_sqrt_params *’ 734 | const union xnn_f32_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:771:1: note: in expansion of macro ‘DECLARE_F32_VSQRT_UKERNEL_FUNCTION’ 771 | DECLARE_F32_VSQRT_UKERNEL_FUNCTION(xnn_f32_vsqrt_ukernel__fma3_nr1fma1adj_x40) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-fma3-nr1fma1adj-x48.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-fma3-nr1fma1adj-x48.c:22:37: warning: argument 4 of type ‘const union xnn_f32_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-fma3-nr1fma1adj-x48.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:734:40: note: previously declared as ‘const union xnn_f32_sqrt_params *’ 734 | const union xnn_f32_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:772:1: note: in expansion of macro ‘DECLARE_F32_VSQRT_UKERNEL_FUNCTION’ 772 | DECLARE_F32_VSQRT_UKERNEL_FUNCTION(xnn_f32_vsqrt_ukernel__fma3_nr1fma1adj_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-fma3-nr1fma1adj-x56.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-fma3-nr1fma1adj-x56.c:22:37: warning: argument 4 of type ‘const union xnn_f32_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-fma3-nr1fma1adj-x56.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:734:40: note: previously declared as ‘const union xnn_f32_sqrt_params *’ 734 | const union xnn_f32_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:773:1: note: in expansion of macro ‘DECLARE_F32_VSQRT_UKERNEL_FUNCTION’ 773 | DECLARE_F32_VSQRT_UKERNEL_FUNCTION(xnn_f32_vsqrt_ukernel__fma3_nr1fma1adj_x56) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-fma3-nr1fma1adj-x64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-fma3-nr1fma1adj-x64.c:22:37: warning: argument 4 of type ‘const union xnn_f32_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-fma3-nr1fma1adj-x64.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:734:40: note: previously declared as ‘const union xnn_f32_sqrt_params *’ 734 | const union xnn_f32_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:774:1: note: in expansion of macro ‘DECLARE_F32_VSQRT_UKERNEL_FUNCTION’ 774 | DECLARE_F32_VSQRT_UKERNEL_FUNCTION(xnn_f32_vsqrt_ukernel__fma3_nr1fma1adj_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sqrt-f32-fma3-nr1fma1adj.c.o [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sqrt-f32-fma3-nr1fma.c.o [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sqrt-f32-fma3-nr2fma.c.o [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-gemm/gen/f16-gemm-1x8-minmax-avx2-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gemm/gen/f16-gemm-1x8-minmax-avx2-broadcast.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gemm/gen/f16-gemm-1x8-minmax-avx2-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:76:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 76 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:100:1: note: in expansion of macro ‘DECLARE_F16_GEMM_MINMAX_UKERNEL_FUNCTION’ 100 | DECLARE_F16_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f16_gemm_minmax_ukernel_1x8__avx2_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-gemm/gen/f16-gemm-1x16-minmax-avx2-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gemm/gen/f16-gemm-1x16-minmax-avx2-broadcast.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gemm/gen/f16-gemm-1x16-minmax-avx2-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:76:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 76 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:101:1: note: in expansion of macro ‘DECLARE_F16_GEMM_MINMAX_UKERNEL_FUNCTION’ 101 | DECLARE_F16_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f16_gemm_minmax_ukernel_1x16__avx2_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-gemm/gen/f16-gemm-3x16-minmax-avx2-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gemm/gen/f16-gemm-3x16-minmax-avx2-broadcast.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gemm/gen/f16-gemm-3x16-minmax-avx2-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:76:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 76 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:102:1: note: in expansion of macro ‘DECLARE_F16_GEMM_MINMAX_UKERNEL_FUNCTION’ 102 | DECLARE_F16_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f16_gemm_minmax_ukernel_3x16__avx2_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-gemm/gen/f16-gemm-4x8-minmax-avx2-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gemm/gen/f16-gemm-4x8-minmax-avx2-broadcast.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gemm/gen/f16-gemm-4x8-minmax-avx2-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:76:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 76 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:103:1: note: in expansion of macro ‘DECLARE_F16_GEMM_MINMAX_UKERNEL_FUNCTION’ 103 | DECLARE_F16_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f16_gemm_minmax_ukernel_4x8__avx2_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-gemm/gen/f16-gemm-4x16-minmax-avx2-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gemm/gen/f16-gemm-4x16-minmax-avx2-broadcast.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gemm/gen/f16-gemm-4x16-minmax-avx2-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:76:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 76 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:104:1: note: in expansion of macro ‘DECLARE_F16_GEMM_MINMAX_UKERNEL_FUNCTION’ 104 | DECLARE_F16_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f16_gemm_minmax_ukernel_4x16__avx2_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-gemm/gen/f16-gemm-5x8-minmax-avx2-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gemm/gen/f16-gemm-5x8-minmax-avx2-broadcast.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gemm/gen/f16-gemm-5x8-minmax-avx2-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:76:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 76 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:105:1: note: in expansion of macro ‘DECLARE_F16_GEMM_MINMAX_UKERNEL_FUNCTION’ 105 | DECLARE_F16_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f16_gemm_minmax_ukernel_5x8__avx2_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-gemm/gen/f16-gemm-5x16-minmax-avx2-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gemm/gen/f16-gemm-5x16-minmax-avx2-broadcast.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gemm/gen/f16-gemm-5x16-minmax-avx2-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:76:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 76 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:106:1: note: in expansion of macro ‘DECLARE_F16_GEMM_MINMAX_UKERNEL_FUNCTION’ 106 | DECLARE_F16_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f16_gemm_minmax_ukernel_5x16__avx2_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-gemm/gen/f16-gemm-6x8-minmax-avx2-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gemm/gen/f16-gemm-6x8-minmax-avx2-broadcast.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gemm/gen/f16-gemm-6x8-minmax-avx2-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:76:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 76 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:107:1: note: in expansion of macro ‘DECLARE_F16_GEMM_MINMAX_UKERNEL_FUNCTION’ 107 | DECLARE_F16_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f16_gemm_minmax_ukernel_6x8__avx2_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-gemm/gen/f16-gemm-7x8-minmax-avx2-broadcast.c.o [ 64%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/TensorMeta.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gemm/gen/f16-gemm-7x8-minmax-avx2-broadcast.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gemm/gen/f16-gemm-7x8-minmax-avx2-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:76:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 76 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:108:1: note: in expansion of macro ‘DECLARE_F16_GEMM_MINMAX_UKERNEL_FUNCTION’ 108 | DECLARE_F16_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f16_gemm_minmax_ukernel_7x8__avx2_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-igemm/gen/f16-igemm-1x8-minmax-avx2-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-igemm/gen/f16-igemm-1x8-minmax-avx2-broadcast.c:30:39: warning: argument 12 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-igemm/gen/f16-igemm-1x8-minmax-avx2-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:392:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 392 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:412:1: note: in expansion of macro ‘DECLARE_F16_IGEMM_MINMAX_UKERNEL_FUNCTION’ 412 | DECLARE_F16_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f16_igemm_minmax_ukernel_1x8__avx2_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-igemm/gen/f16-igemm-1x16-minmax-avx2-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-igemm/gen/f16-igemm-1x16-minmax-avx2-broadcast.c:30:39: warning: argument 12 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-igemm/gen/f16-igemm-1x16-minmax-avx2-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:392:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 392 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:413:1: note: in expansion of macro ‘DECLARE_F16_IGEMM_MINMAX_UKERNEL_FUNCTION’ 413 | DECLARE_F16_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f16_igemm_minmax_ukernel_1x16__avx2_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-igemm/gen/f16-igemm-3x16-minmax-avx2-broadcast.c.o [ 64%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/TensorNames.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-igemm/gen/f16-igemm-3x16-minmax-avx2-broadcast.c:30:39: warning: argument 12 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-igemm/gen/f16-igemm-3x16-minmax-avx2-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:392:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 392 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:414:1: note: in expansion of macro ‘DECLARE_F16_IGEMM_MINMAX_UKERNEL_FUNCTION’ 414 | DECLARE_F16_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f16_igemm_minmax_ukernel_3x16__avx2_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-igemm/gen/f16-igemm-4x8-minmax-avx2-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-igemm/gen/f16-igemm-4x8-minmax-avx2-broadcast.c:30:39: warning: argument 12 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-igemm/gen/f16-igemm-4x8-minmax-avx2-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:392:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 392 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:415:1: note: in expansion of macro ‘DECLARE_F16_IGEMM_MINMAX_UKERNEL_FUNCTION’ 415 | DECLARE_F16_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f16_igemm_minmax_ukernel_4x8__avx2_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-igemm/gen/f16-igemm-4x16-minmax-avx2-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-igemm/gen/f16-igemm-4x16-minmax-avx2-broadcast.c:30:39: warning: argument 12 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-igemm/gen/f16-igemm-4x16-minmax-avx2-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:392:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 392 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:416:1: note: in expansion of macro ‘DECLARE_F16_IGEMM_MINMAX_UKERNEL_FUNCTION’ 416 | DECLARE_F16_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f16_igemm_minmax_ukernel_4x16__avx2_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-igemm/gen/f16-igemm-5x8-minmax-avx2-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-igemm/gen/f16-igemm-5x8-minmax-avx2-broadcast.c:30:39: warning: argument 12 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-igemm/gen/f16-igemm-5x8-minmax-avx2-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:392:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 392 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:417:1: note: in expansion of macro ‘DECLARE_F16_IGEMM_MINMAX_UKERNEL_FUNCTION’ 417 | DECLARE_F16_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f16_igemm_minmax_ukernel_5x8__avx2_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-igemm/gen/f16-igemm-5x16-minmax-avx2-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-igemm/gen/f16-igemm-5x16-minmax-avx2-broadcast.c:30:39: warning: argument 12 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-igemm/gen/f16-igemm-5x16-minmax-avx2-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:392:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 392 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:418:1: note: in expansion of macro ‘DECLARE_F16_IGEMM_MINMAX_UKERNEL_FUNCTION’ 418 | DECLARE_F16_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f16_igemm_minmax_ukernel_5x16__avx2_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-igemm/gen/f16-igemm-6x8-minmax-avx2-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-igemm/gen/f16-igemm-6x8-minmax-avx2-broadcast.c:30:39: warning: argument 12 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-igemm/gen/f16-igemm-6x8-minmax-avx2-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:392:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 392 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:419:1: note: in expansion of macro ‘DECLARE_F16_IGEMM_MINMAX_UKERNEL_FUNCTION’ 419 | DECLARE_F16_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f16_igemm_minmax_ukernel_6x8__avx2_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-igemm/gen/f16-igemm-7x8-minmax-avx2-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-igemm/gen/f16-igemm-7x8-minmax-avx2-broadcast.c:30:39: warning: argument 12 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-igemm/gen/f16-igemm-7x8-minmax-avx2-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:392:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 392 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:420:1: note: in expansion of macro ‘DECLARE_F16_IGEMM_MINMAX_UKERNEL_FUNCTION’ 420 | DECLARE_F16_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f16_igemm_minmax_ukernel_7x8__avx2_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-pavgpool/f16-pavgpool-9p8x-minmax-avx2-c8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-pavgpool/f16-pavgpool-9p8x-minmax-avx2-c8.c:26:39: warning: argument 12 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-pavgpool/f16-pavgpool-9p8x-minmax-avx2-c8.c:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/pavgpool.h:32:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 32 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/pavgpool.h:34:1: note: in expansion of macro ‘DECLARE_F16_PAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 34 | DECLARE_F16_PAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_f16_pavgpool_minmax_ukernel_9p8x__avx2_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-pavgpool/f16-pavgpool-9x-minmax-avx2-c8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-pavgpool/f16-pavgpool-9x-minmax-avx2-c8.c:25:39: warning: argument 11 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-pavgpool/f16-pavgpool-9x-minmax-avx2-c8.c:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/pavgpool.h:50:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 50 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/pavgpool.h:52:1: note: in expansion of macro ‘DECLARE_F16_PAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 52 | DECLARE_F16_PAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_pavgpool_minmax_ukernel_9x__avx2_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x32-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x32-acc2.c:24:41: warning: argument 6 of type ‘const union xnn_f16_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x32-acc2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:25:44: note: previously declared as ‘const union xnn_f16_expminus_params *’ 25 | const union xnn_f16_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:28:1: note: in expansion of macro ‘DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 28 | DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f16_raddstoreexpminusmax_ukernel__avx2_rr1_p2_x32_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x32-acc4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x32-acc4.c:24:41: warning: argument 6 of type ‘const union xnn_f16_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x32-acc4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:25:44: note: previously declared as ‘const union xnn_f16_expminus_params *’ 25 | const union xnn_f16_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:29:1: note: in expansion of macro ‘DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 29 | DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f16_raddstoreexpminusmax_ukernel__avx2_rr1_p2_x32_acc4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x32.c.o [ 64%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/TensorUtils.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x32.c:24:41: warning: argument 6 of type ‘const union xnn_f16_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:25:44: note: previously declared as ‘const union xnn_f16_expminus_params *’ 25 | const union xnn_f16_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:27:1: note: in expansion of macro ‘DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 27 | DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f16_raddstoreexpminusmax_ukernel__avx2_rr1_p2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x40-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x40-acc2.c:24:41: warning: argument 6 of type ‘const union xnn_f16_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x40-acc2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:25:44: note: previously declared as ‘const union xnn_f16_expminus_params *’ 25 | const union xnn_f16_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:31:1: note: in expansion of macro ‘DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 31 | DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f16_raddstoreexpminusmax_ukernel__avx2_rr1_p2_x40_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x40-acc5.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x40-acc5.c:24:41: warning: argument 6 of type ‘const union xnn_f16_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x40-acc5.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:25:44: note: previously declared as ‘const union xnn_f16_expminus_params *’ 25 | const union xnn_f16_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:32:1: note: in expansion of macro ‘DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 32 | DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f16_raddstoreexpminusmax_ukernel__avx2_rr1_p2_x40_acc5) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x40.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x40.c:24:41: warning: argument 6 of type ‘const union xnn_f16_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x40.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:25:44: note: previously declared as ‘const union xnn_f16_expminus_params *’ 25 | const union xnn_f16_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:30:1: note: in expansion of macro ‘DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 30 | DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f16_raddstoreexpminusmax_ukernel__avx2_rr1_p2_x40) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x48-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x48-acc2.c:24:41: warning: argument 6 of type ‘const union xnn_f16_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x48-acc2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:25:44: note: previously declared as ‘const union xnn_f16_expminus_params *’ 25 | const union xnn_f16_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:34:1: note: in expansion of macro ‘DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 34 | DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f16_raddstoreexpminusmax_ukernel__avx2_rr1_p2_x48_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x48-acc3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x48-acc3.c:24:41: warning: argument 6 of type ‘const union xnn_f16_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x48-acc3.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:25:44: note: previously declared as ‘const union xnn_f16_expminus_params *’ 25 | const union xnn_f16_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:35:1: note: in expansion of macro ‘DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 35 | DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f16_raddstoreexpminusmax_ukernel__avx2_rr1_p2_x48_acc3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x48.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x48.c:24:41: warning: argument 6 of type ‘const union xnn_f16_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x48.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:25:44: note: previously declared as ‘const union xnn_f16_expminus_params *’ 25 | const union xnn_f16_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:33:1: note: in expansion of macro ‘DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 33 | DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f16_raddstoreexpminusmax_ukernel__avx2_rr1_p2_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x64-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x64-acc2.c:24:41: warning: argument 6 of type ‘const union xnn_f16_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x64-acc2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:25:44: note: previously declared as ‘const union xnn_f16_expminus_params *’ 25 | const union xnn_f16_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:37:1: note: in expansion of macro ‘DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 37 | DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f16_raddstoreexpminusmax_ukernel__avx2_rr1_p2_x64_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x64-acc4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x64-acc4.c:24:41: warning: argument 6 of type ‘const union xnn_f16_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x64-acc4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:25:44: note: previously declared as ‘const union xnn_f16_expminus_params *’ 25 | const union xnn_f16_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:38:1: note: in expansion of macro ‘DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 38 | DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f16_raddstoreexpminusmax_ukernel__avx2_rr1_p2_x64_acc4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x64.c:24:41: warning: argument 6 of type ‘const union xnn_f16_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x64.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:25:44: note: previously declared as ‘const union xnn_f16_expminus_params *’ 25 | const union xnn_f16_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:36:1: note: in expansion of macro ‘DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 36 | DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f16_raddstoreexpminusmax_ukernel__avx2_rr1_p2_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x72-acc3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x72-acc3.c:24:41: warning: argument 6 of type ‘const union xnn_f16_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x72-acc3.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:25:44: note: previously declared as ‘const union xnn_f16_expminus_params *’ 25 | const union xnn_f16_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:40:1: note: in expansion of macro ‘DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 40 | DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f16_raddstoreexpminusmax_ukernel__avx2_rr1_p2_x72_acc3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x72.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x72.c:24:41: warning: argument 6 of type ‘const union xnn_f16_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x72.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:25:44: note: previously declared as ‘const union xnn_f16_expminus_params *’ 25 | const union xnn_f16_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:39:1: note: in expansion of macro ‘DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 39 | DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f16_raddstoreexpminusmax_ukernel__avx2_rr1_p2_x72) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x80-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x80-acc2.c:24:41: warning: argument 6 of type ‘const union xnn_f16_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x80-acc2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:25:44: note: previously declared as ‘const union xnn_f16_expminus_params *’ 25 | const union xnn_f16_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:42:1: note: in expansion of macro ‘DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 42 | DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f16_raddstoreexpminusmax_ukernel__avx2_rr1_p2_x80_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x80-acc5.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x80-acc5.c:24:41: warning: argument 6 of type ‘const union xnn_f16_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x80-acc5.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:25:44: note: previously declared as ‘const union xnn_f16_expminus_params *’ 25 | const union xnn_f16_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:43:1: note: in expansion of macro ‘DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 43 | DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f16_raddstoreexpminusmax_ukernel__avx2_rr1_p2_x80_acc5) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x80.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x80.c:24:41: warning: argument 6 of type ‘const union xnn_f16_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x80.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:25:44: note: previously declared as ‘const union xnn_f16_expminus_params *’ 25 | const union xnn_f16_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:41:1: note: in expansion of macro ‘DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 41 | DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f16_raddstoreexpminusmax_ukernel__avx2_rr1_p2_x80) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x96-acc2.c.o [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x96-acc3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x96-acc2.c:24:41: warning: argument 6 of type ‘const union xnn_f16_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x96-acc2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:25:44: note: previously declared as ‘const union xnn_f16_expminus_params *’ 25 | const union xnn_f16_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:45:1: note: in expansion of macro ‘DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 45 | DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f16_raddstoreexpminusmax_ukernel__avx2_rr1_p2_x96_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x96-acc6.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x96-acc3.c:24:41: warning: argument 6 of type ‘const union xnn_f16_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x96-acc3.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:25:44: note: previously declared as ‘const union xnn_f16_expminus_params *’ 25 | const union xnn_f16_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:46:1: note: in expansion of macro ‘DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 46 | DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f16_raddstoreexpminusmax_ukernel__avx2_rr1_p2_x96_acc3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x96-acc6.c:24:41: warning: argument 6 of type ‘const union xnn_f16_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x96-acc6.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:25:44: note: previously declared as ‘const union xnn_f16_expminus_params *’ 25 | const union xnn_f16_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:47:1: note: in expansion of macro ‘DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 47 | DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f16_raddstoreexpminusmax_ukernel__avx2_rr1_p2_x96_acc6) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x96.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x96.c:24:41: warning: argument 6 of type ‘const union xnn_f16_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x96.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:25:44: note: previously declared as ‘const union xnn_f16_expminus_params *’ 25 | const union xnn_f16_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:44:1: note: in expansion of macro ‘DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 44 | DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f16_raddstoreexpminusmax_ukernel__avx2_rr1_p2_x96) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-velu/gen/f16-velu-avx2-rr1-p3-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-velu/gen/f16-velu-avx2-rr1-p3-x8.c:23:36: warning: argument 4 of type ‘const union xnn_f16_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-velu/gen/f16-velu-avx2-rr1-p3-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:52:39: note: previously declared as ‘const union xnn_f16_elu_params *’ 52 | const union xnn_f16_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:57:1: note: in expansion of macro ‘DECLARE_F16_VELU_UKERNEL_FUNCTION’ 57 | DECLARE_F16_VELU_UKERNEL_FUNCTION(xnn_f16_velu_ukernel__avx2_rr1_p3_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-velu/gen/f16-velu-avx2-rr1-p3-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-velu/gen/f16-velu-avx2-rr1-p3-x16.c:23:36: warning: argument 4 of type ‘const union xnn_f16_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-velu/gen/f16-velu-avx2-rr1-p3-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:52:39: note: previously declared as ‘const union xnn_f16_elu_params *’ 52 | const union xnn_f16_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:58:1: note: in expansion of macro ‘DECLARE_F16_VELU_UKERNEL_FUNCTION’ 58 | DECLARE_F16_VELU_UKERNEL_FUNCTION(xnn_f16_velu_ukernel__avx2_rr1_p3_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-x8.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorImpl.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/c10/core/GeneratorImpl.h:8, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/core/Generator.h:22, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/CPUGeneratorImpl.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/Context.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/ATen.h:7, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/TensorUtils.cpp:1: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h: In function ‘c10::DispatchKey c10::computeDispatchKey(optional, optional, optional)’: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:666:5: warning: this statement may fall through [-Wimplicit-fallthrough=] 666 | } | ^ /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:667:5: note: here 667 | case Layout::Sparse: | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-x8.c:23:40: warning: argument 4 of type ‘const union xnn_f16_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:123:43: note: previously declared as ‘const union xnn_f16_sigmoid_params *’ 123 | const union xnn_f16_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:125:1: note: in expansion of macro ‘DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION’ 125 | DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION(xnn_f16_vsigmoid_ukernel__avx2_rr1_p2_div_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-x16.c:23:40: warning: argument 4 of type ‘const union xnn_f16_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:123:43: note: previously declared as ‘const union xnn_f16_sigmoid_params *’ 123 | const union xnn_f16_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:126:1: note: in expansion of macro ‘DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION’ 126 | DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION(xnn_f16_vsigmoid_ukernel__avx2_rr1_p2_div_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-x24.c:23:40: warning: argument 4 of type ‘const union xnn_f16_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-x24.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:123:43: note: previously declared as ‘const union xnn_f16_sigmoid_params *’ 123 | const union xnn_f16_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:127:1: note: in expansion of macro ‘DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION’ 127 | DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION(xnn_f16_vsigmoid_ukernel__avx2_rr1_p2_div_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-x32.c:23:40: warning: argument 4 of type ‘const union xnn_f16_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:123:43: note: previously declared as ‘const union xnn_f16_sigmoid_params *’ 123 | const union xnn_f16_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:128:1: note: in expansion of macro ‘DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION’ 128 | DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION(xnn_f16_vsigmoid_ukernel__avx2_rr1_p2_div_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-x40.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-x40.c:23:40: warning: argument 4 of type ‘const union xnn_f16_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-x40.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:123:43: note: previously declared as ‘const union xnn_f16_sigmoid_params *’ 123 | const union xnn_f16_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:129:1: note: in expansion of macro ‘DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION’ 129 | DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION(xnn_f16_vsigmoid_ukernel__avx2_rr1_p2_div_x40) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-x48.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-x48.c:23:40: warning: argument 4 of type ‘const union xnn_f16_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-x48.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:123:43: note: previously declared as ‘const union xnn_f16_sigmoid_params *’ 123 | const union xnn_f16_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:130:1: note: in expansion of macro ‘DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION’ 130 | DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION(xnn_f16_vsigmoid_ukernel__avx2_rr1_p2_div_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-x56.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-x56.c:23:40: warning: argument 4 of type ‘const union xnn_f16_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-x56.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:123:43: note: previously declared as ‘const union xnn_f16_sigmoid_params *’ 123 | const union xnn_f16_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:131:1: note: in expansion of macro ‘DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION’ 131 | DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION(xnn_f16_vsigmoid_ukernel__avx2_rr1_p2_div_x56) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-x64.c.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_premulsum_f16.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_premulsum_f32.o [ 65%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/ThreadLocalPythonObjects.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-x64.c:23:40: warning: argument 4 of type ‘const union xnn_f16_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-x64.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:123:43: note: previously declared as ‘const union xnn_f16_sigmoid_params *’ 123 | const union xnn_f16_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:132:1: note: in expansion of macro ‘DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION’ 132 | DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION(xnn_f16_vsigmoid_ukernel__avx2_rr1_p2_div_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/ThreadLocalState.cpp.o [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-x8.c:23:40: warning: argument 4 of type ‘const union xnn_f16_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:123:43: note: previously declared as ‘const union xnn_f16_sigmoid_params *’ 123 | const union xnn_f16_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:134:1: note: in expansion of macro ‘DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION’ 134 | DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION(xnn_f16_vsigmoid_ukernel__avx2_rr1_p2_rcp_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-x16.c:23:40: warning: argument 4 of type ‘const union xnn_f16_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:123:43: note: previously declared as ‘const union xnn_f16_sigmoid_params *’ 123 | const union xnn_f16_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:135:1: note: in expansion of macro ‘DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION’ 135 | DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION(xnn_f16_vsigmoid_ukernel__avx2_rr1_p2_rcp_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-x24.c:23:40: warning: argument 4 of type ‘const union xnn_f16_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-x24.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:123:43: note: previously declared as ‘const union xnn_f16_sigmoid_params *’ 123 | const union xnn_f16_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:136:1: note: in expansion of macro ‘DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION’ 136 | DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION(xnn_f16_vsigmoid_ukernel__avx2_rr1_p2_rcp_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-x32.c:23:40: warning: argument 4 of type ‘const union xnn_f16_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:123:43: note: previously declared as ‘const union xnn_f16_sigmoid_params *’ 123 | const union xnn_f16_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:137:1: note: in expansion of macro ‘DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION’ 137 | DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION(xnn_f16_vsigmoid_ukernel__avx2_rr1_p2_rcp_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-x40.c.o [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-x48.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-x40.c:23:40: warning: argument 4 of type ‘const union xnn_f16_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-x40.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:123:43: note: previously declared as ‘const union xnn_f16_sigmoid_params *’ 123 | const union xnn_f16_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:138:1: note: in expansion of macro ‘DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION’ 138 | DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION(xnn_f16_vsigmoid_ukernel__avx2_rr1_p2_rcp_x40) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-x48.c:23:40: warning: argument 4 of type ‘const union xnn_f16_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-x48.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:123:43: note: previously declared as ‘const union xnn_f16_sigmoid_params *’ 123 | const union xnn_f16_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:139:1: note: in expansion of macro ‘DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION’ 139 | DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION(xnn_f16_vsigmoid_ukernel__avx2_rr1_p2_rcp_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-x56.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-x56.c:23:40: warning: argument 4 of type ‘const union xnn_f16_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-x56.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:123:43: note: previously declared as ‘const union xnn_f16_sigmoid_params *’ 123 | const union xnn_f16_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:140:1: note: in expansion of macro ‘DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION’ 140 | DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION(xnn_f16_vsigmoid_ukernel__avx2_rr1_p2_rcp_x56) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-x64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-x64.c:23:40: warning: argument 4 of type ‘const union xnn_f16_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-x64.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:123:43: note: previously declared as ‘const union xnn_f16_sigmoid_params *’ 123 | const union xnn_f16_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:141:1: note: in expansion of macro ‘DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION’ 141 | DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION(xnn_f16_vsigmoid_ukernel__avx2_rr1_p2_rcp_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx2-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx2-x16.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx2-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:190:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 190 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__avx2_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx2-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx2-x32.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx2-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:191:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 191 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__avx2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx2-x48.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx2-x48.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx2-x48.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:192:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 192 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__avx2_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx2-x64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx2-x64.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx2-x64.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:193:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 193 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__avx2_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx2-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx2-x16.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx2-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:258:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 258 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__avx2_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx2-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx2-x32.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx2-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:259:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 259 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__avx2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx2-x48.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx2-x48.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx2-x48.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:260:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 260 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__avx2_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx2-x64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx2-x64.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx2-x64.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:261:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 261 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__avx2_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-x64-acc2.c.o [ 65%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/Utils.cpp.o [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-x64-acc4.c.o [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-x64.c.o [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-x72-acc3.c.o [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-x72.c.o [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-x80-acc2.c.o [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-x80-acc5.c.o [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-x80.c.o [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-x96-acc2.c.o [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-x96-acc3.c.o [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-x96-acc6.c.o [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-x96.c.o [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx2-p5-x64-acc2.c.o [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx2-p5-x64-acc4.c.o [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx2-p5-x64.c.o [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx2-p5-x72-acc3.c.o [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx2-p5-x72.c.o [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx2-p5-x80-acc2.c.o [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx2-p5-x80-acc5.c.o [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx2-p5-x80.c.o [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx2-p5-x96-acc2.c.o [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx2-p5-x96-acc3.c.o [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx2-p5-x96-acc6.c.o [ 65%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/Version.cpp.o [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx2-p5-x96.c.o [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x64-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x64-acc2.c:23:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x64-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:147:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 147 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__avx2_rr1_p5_x64_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x64-acc4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x64-acc4.c:23:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x64-acc4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:148:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 148 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__avx2_rr1_p5_x64_acc4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x64.c:23:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:146:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 146 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__avx2_rr1_p5_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x72-acc3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x72-acc3.c:23:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x72-acc3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:150:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 150 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__avx2_rr1_p5_x72_acc3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x72.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x72.c:23:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x72.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:149:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 149 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__avx2_rr1_p5_x72) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x80-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x80-acc2.c:23:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x80-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:152:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 152 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__avx2_rr1_p5_x80_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x80-acc5.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x80-acc5.c:23:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x80-acc5.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:153:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 153 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__avx2_rr1_p5_x80_acc5) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/VmapModeRegistrations.cpp.o [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x80.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x80.c:23:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x80.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:151:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 151 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__avx2_rr1_p5_x80) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x96-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x96-acc2.c:23:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x96-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:155:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 155 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__avx2_rr1_p5_x96_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x96-acc3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x96-acc3.c:23:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x96-acc3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:156:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 156 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__avx2_rr1_p5_x96_acc3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x96-acc6.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x96-acc6.c:23:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x96-acc6.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:157:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 157 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__avx2_rr1_p5_x96_acc6) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x96.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x96.c:23:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x96.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:154:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 154 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__avx2_rr1_p5_x96) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x8.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:346:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 346 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut4_p4_perm_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x16.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:347:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 347 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut4_p4_perm_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x24.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:348:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 348 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut4_p4_perm_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x32.c.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x40.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x32.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:349:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 349 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut4_p4_perm_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x48.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x40.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x40.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:350:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 350 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut4_p4_perm_x40) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x48.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x48.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:351:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 351 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut4_p4_perm_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x56.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x56.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x56.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:352:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 352 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut4_p4_perm_x56) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x64.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x64.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:353:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 353 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut4_p4_perm_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x72.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x72.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x72.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:354:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 354 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut4_p4_perm_x72) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x80.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x80.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x80.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:355:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 355 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut4_p4_perm_x80) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x8.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:357:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 357 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut8_p4_perm_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x16.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:358:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 358 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut8_p4_perm_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x24.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:359:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 359 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut8_p4_perm_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x32.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:360:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 360 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut8_p4_perm_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x40.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x40.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x40.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:361:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 361 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut8_p4_perm_x40) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x48.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x48.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x48.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:362:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 362 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut8_p4_perm_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x56.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x56.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x56.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:363:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 363 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut8_p4_perm_x56) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x64.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x64.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:364:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 364 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut8_p4_perm_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x72.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x72.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x72.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:365:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 365 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut8_p4_perm_x72) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x80.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x80.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x80.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:366:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 366 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut8_p4_perm_x80) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x8.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:368:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 368 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut16_p3_gather_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x16.c.o [ 66%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/ZeroTensorFallback.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x16.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:369:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 369 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut16_p3_gather_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x24.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:370:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 370 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut16_p3_gather_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x32.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:371:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 371 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut16_p3_gather_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x40.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x40.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x40.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:372:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 372 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut16_p3_gather_x40) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x48.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x48.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x48.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:373:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 373 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut16_p3_gather_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x56.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x56.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x56.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:374:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 374 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut16_p3_gather_x56) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x64.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x64.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:375:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 375 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut16_p3_gather_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x72.c.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_u32.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_i32.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_u8.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_i8.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_premulsum_bf16.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_premulsum_f64.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_premulsum_u64.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x72.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x72.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:376:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 376 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut16_p3_gather_x72) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x80.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x80.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x80.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:377:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 377 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut16_p3_gather_x80) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x8.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:379:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 379 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_p6_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x16.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:380:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 380 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_p6_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x24.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:381:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 381 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_p6_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x32.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:382:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 382 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_p6_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x40.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x40.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x40.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:383:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 383 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_p6_x40) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x48.c.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x56.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x48.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x48.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:384:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 384 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_p6_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x56.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x56.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:385:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 385 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_p6_x56) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x64.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x64.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:386:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 386 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_p6_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x72.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x72.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x72.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:387:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 387 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_p6_x72) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x80.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x80.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x80.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:388:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 388 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_p6_x80) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx2-p5-x8.c.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx2-p5-x16.c.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx2-p5-x24.c.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx2-p5-x32.c.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx2-p5-x40.c.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx2-p5-x48.c.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx2-p5-x56.c.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx2-p5-x64.c.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx2-p5-x72.c.o [ 66%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/autocast_mode.cpp.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx2-p5-x80.c.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx2-p5-x88.c.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx2-p5-x96.c.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-x8.c.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-x16.c.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-x24.c.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-x32.c.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-x40.c.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_i64.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_premulsum_i64.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-x48.c.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-x56.c.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-x64.c.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-x72.c.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-x80.c.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-x88.c.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-x96.c.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x8.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:955:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 955 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_div_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x16.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:956:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 956 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_div_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x24.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:957:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 957 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_div_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x32.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:958:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 958 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_div_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x40.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x40.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x40.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:959:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 959 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_div_x40) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x48.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x48.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x48.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:960:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 960 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_div_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x56.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x56.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x56.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:961:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 961 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_div_x56) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x64.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x64.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:962:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 962 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_div_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x72.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x72.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x72.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:963:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 963 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_div_x72) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x80.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x80.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x80.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:964:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 964 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_div_x80) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x8.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:966:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 966 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_nr1fma_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x16.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:967:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 967 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_nr1fma_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x24.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:968:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 968 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_nr1fma_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x32.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:969:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 969 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_nr1fma_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x40.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x40.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x40.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:970:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 970 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_nr1fma_x40) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x48.c.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x56.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x48.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x48.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:971:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 971 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_nr1fma_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x56.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x56.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:972:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 972 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_nr1fma_x56) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x64.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x64.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:973:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 973 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_nr1fma_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x72.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x72.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x72.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:974:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 974 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_nr1fma_x72) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x80.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x80.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x80.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:975:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 975 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_nr1fma_x80) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x8.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:977:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 977 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_nr2fma_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x16.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:978:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 978 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_nr2fma_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x24.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:979:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 979 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_nr2fma_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x32.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:980:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 980 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_nr2fma_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x40.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x40.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x40.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:981:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 981 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_nr2fma_x40) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x48.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x48.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x48.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:982:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 982 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_nr2fma_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x56.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x56.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x56.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:983:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 983 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_nr2fma_x56) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x64.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x64.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:984:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 984 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_nr2fma_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x72.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x72.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x72.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:985:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 985 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_nr2fma_x72) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x80.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x80.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x80.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:986:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 986 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_nr2fma_x80) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/exp-f32-avx2-rr2-lut8-p3-perm.c.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/exp-f32-avx2-rr2-lut8-p4-perm.c.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_f32.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/exp-f32-avx2-rr2-p5.c.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/expm1minus-f16-avx2-rr1-p3.c.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/expm1minus-f32-avx2-rr1-lut4-p4-perm.c.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/expm1minus-f32-avx2-rr1-lut8-p4-perm.c.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/expm1minus-f32-avx2-rr1-lut16-p3-gather.c.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/expm1minus-f32-avx2-rr1-p6.c.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/expminus-f16-avx2-rr1-p2.c.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/expminus-f16-avx2-rr1-p3.c.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/expminus-f32-avx2-rr1-p5.c.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/expminus-f32-avx2-rr2-p5.c.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/extexp-avx2-p5.c.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f16-avx2-rr1-p2-div.c.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f16-avx2-rr1-p2-rcp.c.o [ 67%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/cpu/FlushDenormal.cpp.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f16-avx2-rr1-p3-div.c.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f16-avx2-rr1-p3-rcp.c.o [ 67%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/detail/CPUGuardImpl.cpp.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f32-avx2-rr1-lut64-p2-gather-div.c.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f32-avx2-rr1-lut64-p2-gather-nr1fma.c.o [ 67%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/detail/CUDAHooksInterface.cpp.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f32-avx2-rr1-lut64-p2-gather-nr2fma1adj.c.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f32-avx2-rr1-lut64-p2-gather-nr2fma.c.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f32-avx2-rr1-p5-div.c.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f32-avx2-rr1-p5-nr1fma.c.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f32-avx2-rr1-p5-nr2fma.c.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_f64.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f32-avx2-rr2-lut64-p2-gather-div.c.o [ 67%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/detail/HIPHooksInterface.cpp.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f32-avx2-rr2-lut64-p2-gather-nr1fma.c.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f32-avx2-rr2-lut64-p2-gather-nr2fma1adj.c.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f32-avx2-rr2-lut64-p2-gather-nr2fma.c.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f32-avx2-rr2-p5-div.c.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f32-avx2-rr2-p5-nr1fma.c.o [ 67%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/detail/MPSHooksInterface.cpp.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f32-avx2-rr2-p5-nr2fma.c.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-3p16c-minmax-fp32-avx2-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-3p16c-minmax-fp32-avx2-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-3p16c-minmax-fp32-avx2-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:948:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 948 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_3p16c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-avx2-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-avx2-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-avx2-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1004:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1004 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p8c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-avx2-mul16-add16-vpunpck.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-avx2-mul16-add16-vpunpck.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-avx2-mul16-add16-vpunpck.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:989:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 989 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p16c__avx2_mul16_add16_vpunpck) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/detail/MetaGuardImpl.cpp.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-avx2-mul16-vpmovsx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-avx2-mul16-vpmovsx.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-avx2-mul16-vpmovsx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:983:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 983 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p16c__avx2_mul16_vpmovsx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-avx2-mul16-vpunpck.c.o [ 67%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/detail/ORTHooksInterface.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-avx2-mul16-vpunpck.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-avx2-mul16-vpunpck.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:986:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 986 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p16c__avx2_mul16_vpunpck) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-avx2-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-avx2-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-avx2-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1005:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1005 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p16c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p24c-minmax-fp32-avx2-mul32.c.o [ 67%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/ADInterpreters.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p24c-minmax-fp32-avx2-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p24c-minmax-fp32-avx2-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1006:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1006 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p24c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p32c-minmax-fp32-avx2-mul16-add16-vpunpck.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p32c-minmax-fp32-avx2-mul16-add16-vpunpck.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p32c-minmax-fp32-avx2-mul16-add16-vpunpck.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:990:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 990 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p32c__avx2_mul16_add16_vpunpck) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p32c-minmax-fp32-avx2-mul16-vpmovsx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p32c-minmax-fp32-avx2-mul16-vpmovsx.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p32c-minmax-fp32-avx2-mul16-vpmovsx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:984:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 984 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p32c__avx2_mul16_vpmovsx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p32c-minmax-fp32-avx2-mul16-vpunpck.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p32c-minmax-fp32-avx2-mul16-vpunpck.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p32c-minmax-fp32-avx2-mul16-vpunpck.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:987:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 987 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p32c__avx2_mul16_vpunpck) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p32c-minmax-fp32-avx2-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p32c-minmax-fp32-avx2-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p32c-minmax-fp32-avx2-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1007:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1007 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p32c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-avx2-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-avx2-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-avx2-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1081:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1081 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p8c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-avx2-mul16-add16-vpunpck.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-avx2-mul16-add16-vpunpck.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-avx2-mul16-add16-vpunpck.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1066:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1066 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p16c__avx2_mul16_add16_vpunpck) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-avx2-mul16-vpmovsx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-avx2-mul16-vpmovsx.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-avx2-mul16-vpmovsx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1060:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1060 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p16c__avx2_mul16_vpmovsx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-avx2-mul16-vpunpck.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-avx2-mul16-vpunpck.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-avx2-mul16-vpunpck.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1063:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1063 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p16c__avx2_mul16_vpunpck) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-avx2-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-avx2-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-avx2-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1082:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1082 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p16c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p24c-minmax-fp32-avx2-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p24c-minmax-fp32-avx2-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p24c-minmax-fp32-avx2-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1083:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1083 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p24c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p32c-minmax-fp32-avx2-mul16-add16-vpunpck.c.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_bf16.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_f16.o [ 68%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/BatchRulesActivation.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p32c-minmax-fp32-avx2-mul16-add16-vpunpck.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p32c-minmax-fp32-avx2-mul16-add16-vpunpck.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1067:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1067 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p32c__avx2_mul16_add16_vpunpck) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p32c-minmax-fp32-avx2-mul16-vpmovsx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p32c-minmax-fp32-avx2-mul16-vpmovsx.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p32c-minmax-fp32-avx2-mul16-vpmovsx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1061:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1061 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p32c__avx2_mul16_vpmovsx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p32c-minmax-fp32-avx2-mul16-vpunpck.c.o [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p32c-minmax-fp32-avx2-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p32c-minmax-fp32-avx2-mul16-vpunpck.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p32c-minmax-fp32-avx2-mul16-vpunpck.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1064:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1064 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p32c__avx2_mul16_vpunpck) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p32c-minmax-fp32-avx2-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p32c-minmax-fp32-avx2-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1084:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1084 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p32c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x8c8-minmax-fp32-avx2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x8c8-minmax-fp32-avx2.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x8c8-minmax-fp32-avx2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1895:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1895 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x8c8-xw-minmax-fp32-avx2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x8c8-xw-minmax-fp32-avx2.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x8c8-xw-minmax-fp32-avx2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1899:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1899 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_xw_minmax_fp32_ukernel_1x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x8c8-minmax-fp32-avx2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x8c8-minmax-fp32-avx2.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x8c8-minmax-fp32-avx2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1896:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1896 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x8c8-xw-minmax-fp32-avx2.c.o [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x8c8-minmax-fp32-avx2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x8c8-xw-minmax-fp32-avx2.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x8c8-xw-minmax-fp32-avx2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1900:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1900 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_xw_minmax_fp32_ukernel_2x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x8c8-minmax-fp32-avx2.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x8c8-minmax-fp32-avx2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1897:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1897 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x8c8-xw-minmax-fp32-avx2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x8c8-xw-minmax-fp32-avx2.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x8c8-xw-minmax-fp32-avx2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1901:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1901 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_xw_minmax_fp32_ukernel_3x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x8c8-minmax-fp32-avx2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x8c8-minmax-fp32-avx2.c:32:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x8c8-minmax-fp32-avx2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1564:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1564 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x8c8-minmax-fp32-avx2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x8c8-minmax-fp32-avx2.c:32:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x8c8-minmax-fp32-avx2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1565:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1565 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x8c8-minmax-fp32-avx2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x8c8-minmax-fp32-avx2.c:32:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x8c8-minmax-fp32-avx2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1566:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1566 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-avx2-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-avx2-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-avx2-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:740:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 740 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p8c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx2-mul16-add16-vpunpck.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx2-mul16-add16-vpunpck.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx2-mul16-add16-vpunpck.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:725:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 725 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p16c__avx2_mul16_add16_vpunpck) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx2-mul16-vpmovsx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx2-mul16-vpmovsx.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx2-mul16-vpmovsx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:719:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 719 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p16c__avx2_mul16_vpmovsx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx2-mul16-vpunpck.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx2-mul16-vpunpck.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx2-mul16-vpunpck.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:722:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 722 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p16c__avx2_mul16_vpunpck) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx2-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx2-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx2-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:741:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 741 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p16c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p24c-minmax-fp32-avx2-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p24c-minmax-fp32-avx2-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p24c-minmax-fp32-avx2-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:742:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 742 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p24c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p32c-minmax-fp32-avx2-mul16-add16-vpunpck.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p32c-minmax-fp32-avx2-mul16-add16-vpunpck.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p32c-minmax-fp32-avx2-mul16-add16-vpunpck.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:726:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 726 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p32c__avx2_mul16_add16_vpunpck) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p32c-minmax-fp32-avx2-mul16-vpmovsx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p32c-minmax-fp32-avx2-mul16-vpmovsx.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p32c-minmax-fp32-avx2-mul16-vpmovsx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:720:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 720 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p32c__avx2_mul16_vpmovsx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p32c-minmax-fp32-avx2-mul16-vpunpck.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p32c-minmax-fp32-avx2-mul16-vpunpck.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p32c-minmax-fp32-avx2-mul16-vpunpck.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:723:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 723 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p32c__avx2_mul16_vpunpck) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p32c-minmax-fp32-avx2-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p32c-minmax-fp32-avx2-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p32c-minmax-fp32-avx2-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:743:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 743 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p32c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-avx2-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-avx2-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-avx2-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:836:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 836 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p8c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx2-mul16-add16-vpunpck.c.o [ 68%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/BatchRulesBinaryOps.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx2-mul16-add16-vpunpck.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx2-mul16-add16-vpunpck.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:821:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 821 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p16c__avx2_mul16_add16_vpunpck) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx2-mul16-vpmovsx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx2-mul16-vpmovsx.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx2-mul16-vpmovsx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:815:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 815 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p16c__avx2_mul16_vpmovsx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx2-mul16-vpunpck.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx2-mul16-vpunpck.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx2-mul16-vpunpck.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:818:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 818 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p16c__avx2_mul16_vpunpck) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx2-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx2-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx2-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:837:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 837 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p16c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p24c-minmax-fp32-avx2-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p24c-minmax-fp32-avx2-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p24c-minmax-fp32-avx2-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:838:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 838 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p24c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p32c-minmax-fp32-avx2-mul16-add16-vpunpck.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p32c-minmax-fp32-avx2-mul16-add16-vpunpck.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p32c-minmax-fp32-avx2-mul16-add16-vpunpck.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:822:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 822 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p32c__avx2_mul16_add16_vpunpck) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p32c-minmax-fp32-avx2-mul16-vpmovsx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p32c-minmax-fp32-avx2-mul16-vpmovsx.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p32c-minmax-fp32-avx2-mul16-vpmovsx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:816:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 816 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p32c__avx2_mul16_vpmovsx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p32c-minmax-fp32-avx2-mul16-vpunpck.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p32c-minmax-fp32-avx2-mul16-vpunpck.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p32c-minmax-fp32-avx2-mul16-vpunpck.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:819:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 819 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p32c__avx2_mul16_vpunpck) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p32c-minmax-fp32-avx2-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p32c-minmax-fp32-avx2-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p32c-minmax-fp32-avx2-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:839:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 839 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p32c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx2-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx2-x8.c:23:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx2-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:371:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 371 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__avx2_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx2-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx2-x16.c:23:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx2-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:372:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 372 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__avx2_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx2-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx2-x24.c:23:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx2-x24.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:373:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 373 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__avx2_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx2-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx2-x32.c:23:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx2-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:374:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 374 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__avx2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x8c8-minmax-fp32-avx2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x8c8-minmax-fp32-avx2.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x8c8-minmax-fp32-avx2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1509:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1509 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x8c8-xw-minmax-fp32-avx2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x8c8-xw-minmax-fp32-avx2.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x8c8-xw-minmax-fp32-avx2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1513:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1513 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_1x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x8c8-minmax-fp32-avx2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x8c8-minmax-fp32-avx2.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x8c8-minmax-fp32-avx2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1510:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1510 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x8c8-xw-minmax-fp32-avx2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x8c8-xw-minmax-fp32-avx2.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x8c8-xw-minmax-fp32-avx2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1514:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1514 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_2x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x8c8-minmax-fp32-avx2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x8c8-minmax-fp32-avx2.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x8c8-minmax-fp32-avx2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1511:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1511 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x8c8-xw-minmax-fp32-avx2.c.o [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x8c8-minmax-fp32-avx2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x8c8-xw-minmax-fp32-avx2.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x8c8-xw-minmax-fp32-avx2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1515:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1515 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_3x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x8c8-minmax-fp32-avx2.c:32:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x8c8-minmax-fp32-avx2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1195:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1195 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x8c8-minmax-fp32-avx2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x8c8-minmax-fp32-avx2.c:32:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x8c8-minmax-fp32-avx2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1196:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1196 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x8c8-minmax-fp32-avx2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x8c8-minmax-fp32-avx2.c:32:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x8c8-minmax-fp32-avx2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1197:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1197 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-avx2-mul32-ld64-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx2-mul32-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx2-mul32-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:153:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 153 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__avx2_mul32_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-avx2-mul32-ld64-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx2-mul32-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx2-mul32-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:154:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 154 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__avx2_mul32_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-avx2-mul32-ld64-x24.c.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sum_i32.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sum_u32.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sum_u8.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sum_i8.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_u64.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_premulsum_u32.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_min_f32.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx2-mul32-ld64-x24.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx2-mul32-ld64-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:155:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 155 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__avx2_mul32_ld64_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-avx2-mul32-ld64-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx2-mul32-ld64-x32.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx2-mul32-ld64-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:156:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 156 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__avx2_mul32_ld64_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx2-mul32-ld64-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx2-mul32-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx2-mul32-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:208:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 208 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__avx2_mul32_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx2-mul32-ld64-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx2-mul32-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx2-mul32-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:209:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 209 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__avx2_mul32_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx2-mul32-ld64-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx2-mul32-ld64-x24.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx2-mul32-ld64-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:210:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 210 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__avx2_mul32_ld64_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx2-mul32-ld64-x32.c.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_min_f16.o [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vcvt/gen/qs8-vcvt-avx2-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx2-mul32-ld64-x32.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx2-mul32-ld64-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:211:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 211 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__avx2_mul32_ld64_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 68%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/BatchRulesConvolution.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-avx2-x16.c:23:36: warning: argument 4 of type ‘const union xnn_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-avx2-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:304:39: note: previously declared as ‘const union xnn_qs8_cvt_params *’ 304 | const union xnn_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:324:1: note: in expansion of macro ‘DECLARE_QS8_VCVT_UKERNEL_FUNCTION’ 324 | DECLARE_QS8_VCVT_UKERNEL_FUNCTION(xnn_qs8_vcvt_ukernel__avx2_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vcvt/gen/qs8-vcvt-avx2-x32.c.o [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vcvt/gen/qs8-vcvt-avx2-x64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-avx2-x32.c:23:36: warning: argument 4 of type ‘const union xnn_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-avx2-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:304:39: note: previously declared as ‘const union xnn_qs8_cvt_params *’ 304 | const union xnn_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:325:1: note: in expansion of macro ‘DECLARE_QS8_VCVT_UKERNEL_FUNCTION’ 325 | DECLARE_QS8_VCVT_UKERNEL_FUNCTION(xnn_qs8_vcvt_ukernel__avx2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-avx2-x64.c:23:36: warning: argument 4 of type ‘const union xnn_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-avx2-x64.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:304:39: note: previously declared as ‘const union xnn_qs8_cvt_params *’ 304 | const union xnn_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:326:1: note: in expansion of macro ‘DECLARE_QS8_VCVT_UKERNEL_FUNCTION’ 326 | DECLARE_QS8_VCVT_UKERNEL_FUNCTION(xnn_qs8_vcvt_ukernel__avx2_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vlrelu/gen/qs8-vlrelu-avx2-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-avx2-x16.c:23:38: warning: argument 4 of type ‘const union xnn_qs8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-avx2-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:24:41: note: previously declared as ‘const union xnn_qs8_lrelu_params *’ 24 | const union xnn_qs8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:44:1: note: in expansion of macro ‘DECLARE_QS8_VLRELU_UKERNEL_FUNCTION’ 44 | DECLARE_QS8_VLRELU_UKERNEL_FUNCTION(xnn_qs8_vlrelu_ukernel__avx2_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vlrelu/gen/qs8-vlrelu-avx2-x32.c.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vlrelu/gen/qs8-vlrelu-avx2-x64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-avx2-x32.c:23:38: warning: argument 4 of type ‘const union xnn_qs8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-avx2-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:24:41: note: previously declared as ‘const union xnn_qs8_lrelu_params *’ 24 | const union xnn_qs8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:45:1: note: in expansion of macro ‘DECLARE_QS8_VLRELU_UKERNEL_FUNCTION’ 45 | DECLARE_QS8_VLRELU_UKERNEL_FUNCTION(xnn_qs8_vlrelu_ukernel__avx2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/BatchRulesDecompositions.cpp.o [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/BatchRulesDynamic.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-avx2-x64.c:23:38: warning: argument 4 of type ‘const union xnn_qs8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-avx2-x64.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:24:41: note: previously declared as ‘const union xnn_qs8_lrelu_params *’ 24 | const union xnn_qs8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:46:1: note: in expansion of macro ‘DECLARE_QS8_VLRELU_UKERNEL_FUNCTION’ 46 | DECLARE_QS8_VLRELU_UKERNEL_FUNCTION(xnn_qs8_vlrelu_ukernel__avx2_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p8c-minmax-fp32-avx2-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p8c-minmax-fp32-avx2-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p8c-minmax-fp32-avx2-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:563:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 563 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p8c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-avx2-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-avx2-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-avx2-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:564:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 564 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p16c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p32c-minmax-fp32-avx2-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p32c-minmax-fp32-avx2-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p32c-minmax-fp32-avx2-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:565:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 565 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p32c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p8c-minmax-fp32-avx2-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p8c-minmax-fp32-avx2-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p8c-minmax-fp32-avx2-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:623:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 623 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p8c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-avx2-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-avx2-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-avx2-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:624:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 624 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p16c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p32c-minmax-fp32-avx2-mul32.c.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx2-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p32c-minmax-fp32-avx2-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p32c-minmax-fp32-avx2-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:625:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 625 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p32c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx2-x8.c:23:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx2-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:464:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 464 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__avx2_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/BatchRulesFactory.cpp.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx2-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx2-x16.c:23:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx2-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:465:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 465 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__avx2_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx2-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx2-x24.c:23:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx2-x24.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:466:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 466 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__avx2_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx2-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx2-x32.c:23:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx2-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:467:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 467 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__avx2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x8c8-minmax-fp32-avx2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x8c8-minmax-fp32-avx2.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x8c8-minmax-fp32-avx2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:864:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 864 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x8c8-minmax-fp32-avx2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x8c8-minmax-fp32-avx2.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x8c8-minmax-fp32-avx2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:865:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 865 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x8c8-minmax-fp32-avx2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x8c8-minmax-fp32-avx2.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x8c8-minmax-fp32-avx2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:866:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 866 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x8c8-minmax-fp32-avx2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x8c8-minmax-fp32-avx2.c:32:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x8c8-minmax-fp32-avx2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:617:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 617 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x8c8-minmax-fp32-avx2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x8c8-minmax-fp32-avx2.c:32:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x8c8-minmax-fp32-avx2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:618:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 618 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x8c8-minmax-fp32-avx2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x8c8-minmax-fp32-avx2.c:32:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x8c8-minmax-fp32-avx2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:619:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 619 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vadd/gen/qu8-vadd-minmax-avx2-mul32-ld64-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-avx2-mul32-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-avx2-mul32-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:54:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 54 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vadd_minmax_ukernel__avx2_mul32_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vadd/gen/qu8-vadd-minmax-avx2-mul32-ld64-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-avx2-mul32-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-avx2-mul32-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:55:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 55 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vadd_minmax_ukernel__avx2_mul32_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx2-mul32-ld64-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx2-mul32-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx2-mul32-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:92:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 92 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vaddc_minmax_ukernel__avx2_mul32_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx2-mul32-ld64-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx2-mul32-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx2-mul32-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:93:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 93 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vaddc_minmax_ukernel__avx2_mul32_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vcvt/gen/qu8-vcvt-avx2-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-avx2-x16.c:23:36: warning: argument 4 of type ‘const union xnn_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-avx2-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:397:39: note: previously declared as ‘const union xnn_qu8_cvt_params *’ 397 | const union xnn_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:417:1: note: in expansion of macro ‘DECLARE_QU8_VCVT_UKERNEL_FUNCTION’ 417 | DECLARE_QU8_VCVT_UKERNEL_FUNCTION(xnn_qu8_vcvt_ukernel__avx2_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vcvt/gen/qu8-vcvt-avx2-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-avx2-x32.c:23:36: warning: argument 4 of type ‘const union xnn_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-avx2-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:397:39: note: previously declared as ‘const union xnn_qu8_cvt_params *’ 397 | const union xnn_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:418:1: note: in expansion of macro ‘DECLARE_QU8_VCVT_UKERNEL_FUNCTION’ 418 | DECLARE_QU8_VCVT_UKERNEL_FUNCTION(xnn_qu8_vcvt_ukernel__avx2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vcvt/gen/qu8-vcvt-avx2-x64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-avx2-x64.c:23:36: warning: argument 4 of type ‘const union xnn_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-avx2-x64.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:397:39: note: previously declared as ‘const union xnn_qu8_cvt_params *’ 397 | const union xnn_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:419:1: note: in expansion of macro ‘DECLARE_QU8_VCVT_UKERNEL_FUNCTION’ 419 | DECLARE_QU8_VCVT_UKERNEL_FUNCTION(xnn_qu8_vcvt_ukernel__avx2_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-avx2-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-avx2-x16.c:23:38: warning: argument 4 of type ‘const union xnn_qu8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-avx2-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:79:41: note: previously declared as ‘const union xnn_qu8_lrelu_params *’ 79 | const union xnn_qu8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:99:1: note: in expansion of macro ‘DECLARE_QU8_VLRELU_UKERNEL_FUNCTION’ 99 | DECLARE_QU8_VLRELU_UKERNEL_FUNCTION(xnn_qu8_vlrelu_ukernel__avx2_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-avx2-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-avx2-x32.c:23:38: warning: argument 4 of type ‘const union xnn_qu8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-avx2-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:79:41: note: previously declared as ‘const union xnn_qu8_lrelu_params *’ 79 | const union xnn_qu8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:100:1: note: in expansion of macro ‘DECLARE_QU8_VLRELU_UKERNEL_FUNCTION’ 100 | DECLARE_QU8_VLRELU_UKERNEL_FUNCTION(xnn_qu8_vlrelu_ukernel__avx2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-avx2-x64.c.o [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/BatchRulesHelper.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-avx2-x64.c:23:38: warning: argument 4 of type ‘const union xnn_qu8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-avx2-x64.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:79:41: note: previously declared as ‘const union xnn_qu8_lrelu_params *’ 79 | const union xnn_qu8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:101:1: note: in expansion of macro ‘DECLARE_QU8_VLRELU_UKERNEL_FUNCTION’ 101 | DECLARE_QU8_VLRELU_UKERNEL_FUNCTION(xnn_qu8_vlrelu_ukernel__avx2_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx2-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx2-x32.c:23:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 23 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx2-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:47:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 47 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__avx2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx2-x64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx2-x64.c:23:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 23 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx2-x64.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:48:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 48 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__avx2_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx2-x96.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx2-x96.c:23:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 23 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx2-x96.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:49:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 49 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__avx2_x96) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx2-x128.c.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-transposec/gen/x8-transposec-32x32-reuse-mov-avx2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx2-x128.c:23:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 23 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx2-x128.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:50:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 50 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__avx2_x128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-transposec/gen/x8-transposec-32x32-reuse-mov-avx2.c:28:41: warning: argument 7 of type ‘const union xnn_x8_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_x8_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-transposec/gen/x8-transposec-32x32-reuse-mov-avx2.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:212:44: note: previously declared as ‘const union xnn_x8_transpose_params *’ 212 | const union xnn_x8_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:236:1: note: in expansion of macro ‘DECLARE_X8_TRANSPOSEC_UKERNEL_FUNCTION’ 236 | DECLARE_X8_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x8_transposec_ukernel__32x32_reuse_mov_avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-transposec/gen/x8-transposec-32x32-reuse-switch-avx2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-transposec/gen/x8-transposec-32x32-reuse-switch-avx2.c:28:41: warning: argument 7 of type ‘const union xnn_x8_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_x8_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-transposec/gen/x8-transposec-32x32-reuse-switch-avx2.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:212:44: note: previously declared as ‘const union xnn_x8_transpose_params *’ 212 | const union xnn_x8_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:237:1: note: in expansion of macro ‘DECLARE_X8_TRANSPOSEC_UKERNEL_FUNCTION’ 237 | DECLARE_X8_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x8_transposec_ukernel__32x32_reuse_switch_avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x16-transposec/gen/x16-transposec-16x16-reuse-mov-avx2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x16-transposec/gen/x16-transposec-16x16-reuse-mov-avx2.c:28:42: warning: argument 7 of type ‘const union xnn_x16_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_x16_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x16-transposec/gen/x16-transposec-16x16-reuse-mov-avx2.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:165:45: note: previously declared as ‘const union xnn_x16_transpose_params *’ 165 | const union xnn_x16_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:201:1: note: in expansion of macro ‘DECLARE_X16_TRANSPOSEC_UKERNEL_FUNCTION’ 201 | DECLARE_X16_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x16_transposec_ukernel__16x16_reuse_mov_avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x16-transposec/gen/x16-transposec-16x16-reuse-switch-avx2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x16-transposec/gen/x16-transposec-16x16-reuse-switch-avx2.c:28:42: warning: argument 7 of type ‘const union xnn_x16_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_x16_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x16-transposec/gen/x16-transposec-16x16-reuse-switch-avx2.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:165:45: note: previously declared as ‘const union xnn_x16_transpose_params *’ 165 | const union xnn_x16_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:202:1: note: in expansion of macro ‘DECLARE_X16_TRANSPOSEC_UKERNEL_FUNCTION’ 202 | DECLARE_X16_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x16_transposec_ukernel__16x16_reuse_switch_avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-2f2m2l16c16s4r-minmax-avx512f-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l16c16s4r-minmax-avx512f-acc2.c:32:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l16c16s4r-minmax-avx512f-acc2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:76:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 76 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:97:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION’ 97 | DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_2f2m2l16c16s4r__avx512f_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-2f2m2l16c16s4r-minmax-avx512f.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l16c16s4r-minmax-avx512f.c:32:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l16c16s4r-minmax-avx512f.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:76:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 76 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:96:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION’ 96 | DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_2f2m2l16c16s4r__avx512f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-2f2m2l32c16s4r-minmax-avx512f-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l32c16s4r-minmax-avx512f-acc2.c:32:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l32c16s4r-minmax-avx512f-acc2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:76:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 76 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:99:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION’ 99 | DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_2f2m2l32c16s4r__avx512f_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-2f2m2l32c16s4r-minmax-avx512f.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l32c16s4r-minmax-avx512f.c:32:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l32c16s4r-minmax-avx512f.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:76:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 76 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:98:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION’ 98 | DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_2f2m2l32c16s4r__avx512f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-2f2m2l64c16s4r-minmax-avx512f-acc2.c.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-2f2m2l64c16s4r-minmax-avx512f.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l64c16s4r-minmax-avx512f-acc2.c:32:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l64c16s4r-minmax-avx512f-acc2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:76:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 76 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:101:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION’ 101 | DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_2f2m2l64c16s4r__avx512f_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l64c16s4r-minmax-avx512f.c:32:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l64c16s4r-minmax-avx512f.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:76:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 76 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:100:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION’ 100 | DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_2f2m2l64c16s4r__avx512f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p16c-minmax-avx512f-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p16c-minmax-avx512f-acc2.c:28:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p16c-minmax-avx512f-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:176:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 176 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_3p16c__avx512f_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p16c-minmax-avx512f.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p16c-minmax-avx512f.c:28:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p16c-minmax-avx512f.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:175:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 175 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_3p16c__avx512f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p32c-minmax-avx512f-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p32c-minmax-avx512f-acc2.c:28:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p32c-minmax-avx512f-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:184:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 184 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_3p32c__avx512f_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p32c-minmax-avx512f.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p32c-minmax-avx512f.c:28:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p32c-minmax-avx512f.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:183:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 183 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_3p32c__avx512f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p16c-minmax-avx512f-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p16c-minmax-avx512f-acc2.c:28:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p16c-minmax-avx512f-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:205:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 205 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_4p16c__avx512f_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p16c-minmax-avx512f.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p16c-minmax-avx512f.c:28:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p16c-minmax-avx512f.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:204:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 204 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_4p16c__avx512f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p32c-minmax-avx512f-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p32c-minmax-avx512f-acc2.c:28:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p32c-minmax-avx512f-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:213:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 213 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_4p32c__avx512f_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p32c-minmax-avx512f.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p32c-minmax-avx512f.c:28:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p32c-minmax-avx512f.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:212:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 212 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_4p32c__avx512f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p16c-minmax-avx512f-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p16c-minmax-avx512f-acc2.c:28:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p16c-minmax-avx512f-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:236:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 236 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_9p16c__avx512f_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p16c-minmax-avx512f.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p16c-minmax-avx512f.c:28:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p16c-minmax-avx512f.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:235:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 235 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_9p16c__avx512f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p32c-minmax-avx512f-acc2.c.o [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/BatchRulesLinearAlgebra.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p32c-minmax-avx512f-acc2.c:28:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p32c-minmax-avx512f-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:244:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 244 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_9p32c__avx512f_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p32c-minmax-avx512f.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p32c-minmax-avx512f.c:28:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p32c-minmax-avx512f.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:243:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 243 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_9p32c__avx512f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p16c-minmax-avx512f-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p16c-minmax-avx512f-acc2.c:28:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p16c-minmax-avx512f-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:265:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 265 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_25p16c__avx512f_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p16c-minmax-avx512f.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p16c-minmax-avx512f.c:28:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p16c-minmax-avx512f.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:264:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 264 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_25p16c__avx512f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p32c-minmax-avx512f-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p32c-minmax-avx512f-acc2.c:28:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p32c-minmax-avx512f-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:273:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 273 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_25p32c__avx512f_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p32c-minmax-avx512f.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p32c-minmax-avx512f.c:28:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p32c-minmax-avx512f.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:272:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 272 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_25p32c__avx512f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-1x16-minmax-avx512f-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-1x16-minmax-avx512f-broadcast.c:28:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-1x16-minmax-avx512f-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:277:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 277 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_1x16__avx512f_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-4x16-minmax-avx512f-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x16-minmax-avx512f-broadcast.c:28:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x16-minmax-avx512f-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:278:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 278 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_4x16__avx512f_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-5x16-minmax-avx512f-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-5x16-minmax-avx512f-broadcast.c:28:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-5x16-minmax-avx512f-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:279:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 279 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_5x16__avx512f_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-6x16-minmax-avx512f-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-6x16-minmax-avx512f-broadcast.c:28:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-6x16-minmax-avx512f-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:280:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 280 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_6x16__avx512f_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-7x16-minmax-avx512f-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-7x16-minmax-avx512f-broadcast.c:28:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-7x16-minmax-avx512f-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:281:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 281 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_7x16__avx512f_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-8x16-minmax-avx512f-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-8x16-minmax-avx512f-broadcast.c:28:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-8x16-minmax-avx512f-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:282:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 282 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_8x16__avx512f_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-1x16-minmax-avx512f-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-1x16-minmax-avx512f-broadcast.c:29:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-1x16-minmax-avx512f-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:583:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 583 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_1x16__avx512f_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-4x16-minmax-avx512f-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-4x16-minmax-avx512f-broadcast.c:29:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-4x16-minmax-avx512f-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:584:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 584 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_4x16__avx512f_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-5x16-minmax-avx512f-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-5x16-minmax-avx512f-broadcast.c:29:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-5x16-minmax-avx512f-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:585:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 585 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_5x16__avx512f_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-6x16-minmax-avx512f-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-6x16-minmax-avx512f-broadcast.c:29:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-6x16-minmax-avx512f-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:586:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 586 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_6x16__avx512f_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-7x16-minmax-avx512f-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-7x16-minmax-avx512f-broadcast.c:29:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-7x16-minmax-avx512f-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:587:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 587 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_7x16__avx512f_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-8x16-minmax-avx512f-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-8x16-minmax-avx512f-broadcast.c:29:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-8x16-minmax-avx512f-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:588:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 588 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_8x16__avx512f_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-1x16-minmax-avx512f-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-1x16-minmax-avx512f-broadcast.c:30:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-1x16-minmax-avx512f-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:191:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 191 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_1x16__avx512f_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-4x16-minmax-avx512f-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x16-minmax-avx512f-broadcast.c:30:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x16-minmax-avx512f-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:192:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 192 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_4x16__avx512f_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-5x16-minmax-avx512f-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-5x16-minmax-avx512f-broadcast.c:30:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-5x16-minmax-avx512f-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:193:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 193 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_5x16__avx512f_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-6x16-minmax-avx512f-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-6x16-minmax-avx512f-broadcast.c:30:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-6x16-minmax-avx512f-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:194:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 194 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_6x16__avx512f_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-7x16-minmax-avx512f-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-7x16-minmax-avx512f-broadcast.c:30:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-7x16-minmax-avx512f-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:195:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 195 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_7x16__avx512f_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-8x16-minmax-avx512f-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-8x16-minmax-avx512f-broadcast.c:30:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-8x16-minmax-avx512f-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:196:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 196 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_8x16__avx512f_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-prelu/gen/f32-prelu-avx512f-2x16.c.o [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-prelu/gen/f32-prelu-avx512f-2x32.c.o [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx512f-p5-scalef-x128-acc2.c.o [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx512f-p5-scalef-x128-acc4.c.o [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx512f-p5-scalef-x128.c.o [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx512f-p5-scalef-x144-acc3.c.o [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx512f-p5-scalef-x144.c.o [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx512f-p5-scalef-x160-acc2.c.o [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx512f-p5-scalef-x160-acc5.c.o [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx512f-p5-scalef-x160.c.o [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx512f-p5-scalef-x192-acc2.c.o [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx512f-p5-scalef-x192-acc3.c.o [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx512f-p5-scalef-x192-acc6.c.o [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx512f-p5-scalef-x192.c.o [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx512f-p5-scalef-x128-acc2.c.o [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx512f-p5-scalef-x128-acc4.c.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_prod_u32.o [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx512f-p5-scalef-x128.c.o [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx512f-p5-scalef-x144-acc3.c.o [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx512f-p5-scalef-x144.c.o [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx512f-p5-scalef-x160-acc2.c.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_prod_i32.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_prod_u8.o [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx512f-p5-scalef-x160-acc5.c.o [ 70%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/BatchRulesLoss.cpp.o [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx512f-p5-scalef-x160.c.o [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx512f-p5-scalef-x192-acc2.c.o [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx512f-p5-scalef-x192-acc3.c.o [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx512f-p5-scalef-x192-acc6.c.o [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx512f-p5-scalef-x192.c.o [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x128-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x128-acc2.c:24:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x128-acc2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:160:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 160 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__avx512f_rr1_p5_scalef_x128_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x128-acc4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x128-acc4.c:24:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x128-acc4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:161:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 161 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__avx512f_rr1_p5_scalef_x128_acc4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x128.c:24:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x128.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:159:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 159 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__avx512f_rr1_p5_scalef_x128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x144-acc3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x144-acc3.c:24:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x144-acc3.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:163:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 163 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__avx512f_rr1_p5_scalef_x144_acc3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x144.c.o [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x160-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x144.c:24:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x144.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:162:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 162 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__avx512f_rr1_p5_scalef_x144) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x160-acc5.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x160-acc2.c:24:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x160-acc2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:165:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 165 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__avx512f_rr1_p5_scalef_x160_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x160.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x160-acc5.c:24:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x160-acc5.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:166:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 166 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__avx512f_rr1_p5_scalef_x160_acc5) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x160.c:24:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x160.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:164:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 164 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__avx512f_rr1_p5_scalef_x160) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x192-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x192-acc2.c:24:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x192-acc2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:168:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 168 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__avx512f_rr1_p5_scalef_x192_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x192-acc3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x192-acc3.c:24:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x192-acc3.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:169:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 169 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__avx512f_rr1_p5_scalef_x192_acc3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x192-acc6.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x192-acc6.c:24:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x192-acc6.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:170:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 170 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__avx512f_rr1_p5_scalef_x192_acc6) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x192.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x192.c:24:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x192.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:167:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 167 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__avx512f_rr1_p5_scalef_x192) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-rmax/f32-rmax-avx512f.c.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_prod_f64.o [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-minmax-avx512f-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-minmax-avx512f-x16.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-minmax-avx512f-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:330:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 330 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vadd_minmax_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-minmax-avx512f-x32.c.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_prod_f32.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_prod_f16.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_prod_u64.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_prod_i64.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_prod_i8.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sum_bf16.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-minmax-avx512f-x32.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-minmax-avx512f-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:331:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 331 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vadd_minmax_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-minmax-avx512f-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-minmax-avx512f-x16.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-minmax-avx512f-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:532:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 532 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vaddc_minmax_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-minmax-avx512f-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-minmax-avx512f-x32.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-minmax-avx512f-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:533:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 533 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vaddc_minmax_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-minmax-avx512f-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-minmax-avx512f-x16.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-minmax-avx512f-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:353:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 353 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vdiv_minmax_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-minmax-avx512f-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-minmax-avx512f-x32.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-minmax-avx512f-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:354:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 354 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vdiv_minmax_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdivc-minmax-avx512f-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-minmax-avx512f-x16.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-minmax-avx512f-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:555:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 555 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vdivc_minmax_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdivc-minmax-avx512f-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-minmax-avx512f-x32.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-minmax-avx512f-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:556:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 556 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vdivc_minmax_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmax-avx512f-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmax-avx512f-x16.c:24:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmax-avx512f-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:188:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 188 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmax_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmax-avx512f-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmax-avx512f-x32.c:24:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmax-avx512f-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:189:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 189 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmax_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmaxc-avx512f-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmaxc-avx512f-x16.c:24:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmaxc-avx512f-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:470:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 470 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmaxc_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmaxc-avx512f-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmaxc-avx512f-x32.c:24:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmaxc-avx512f-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:471:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 471 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmaxc_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmin-avx512f-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmin-avx512f-x16.c:24:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmin-avx512f-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:211:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 211 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmin_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmin-avx512f-x32.c.o [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vminc-avx512f-x16.c.o [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vminc-avx512f-x32.c.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-minmax-avx512f-x16.c.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-minmax-avx512f-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmin-avx512f-x32.c:24:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmin-avx512f-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:212:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 212 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmin_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vminc-avx512f-x16.c:24:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vminc-avx512f-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:493:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 493 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vminc_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmulc-minmax-avx512f-x16.c.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_min_i32.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_min_u8.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_min_i8.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_prod_bf16.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sum_f64.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sum_f32.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vminc-avx512f-x32.c:24:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vminc-avx512f-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:494:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 494 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vminc_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-minmax-avx512f-x16.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-minmax-avx512f-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:376:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 376 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmul_minmax_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-minmax-avx512f-x32.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-minmax-avx512f-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:377:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 377 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmul_minmax_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-minmax-avx512f-x16.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-minmax-avx512f-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:601:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 601 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmulc_minmax_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmulc-minmax-avx512f-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-minmax-avx512f-x32.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-minmax-avx512f-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:602:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 602 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmulc_minmax_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-minmax-avx512f-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-minmax-avx512f-x16.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-minmax-avx512f-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:578:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 578 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vrdivc_minmax_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-minmax-avx512f-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-minmax-avx512f-x32.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-minmax-avx512f-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:579:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 579 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vrdivc_minmax_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-minmax-avx512f-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-minmax-avx512f-x16.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-minmax-avx512f-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:647:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 647 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vrsubc_minmax_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-minmax-avx512f-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-minmax-avx512f-x32.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-minmax-avx512f-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:648:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 648 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vrsubc_minmax_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiff-avx512f-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiff-avx512f-x16.c:24:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiff-avx512f-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:234:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 234 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsqrdiff_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiff-avx512f-x32.c.o [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/BatchRulesModules.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiff-avx512f-x32.c:24:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiff-avx512f-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:235:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 235 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsqrdiff_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiffc-avx512f-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiffc-avx512f-x16.c:24:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiffc-avx512f-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:516:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 516 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsqrdiffc_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiffc-avx512f-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiffc-avx512f-x32.c:24:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiffc-avx512f-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:517:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 517 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsqrdiffc_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsub-minmax-avx512f-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-minmax-avx512f-x16.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-minmax-avx512f-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:399:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 399 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vsub_minmax_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsub-minmax-avx512f-x32.c.o [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/BatchRulesNorm.cpp.o [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/BatchRulesPooling.cpp.o [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/BatchRulesRandomness.cpp.o [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/BatchRulesReduceOps.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-minmax-avx512f-x32.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-minmax-avx512f-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:400:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 400 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vsub_minmax_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsubc-minmax-avx512f-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-minmax-avx512f-x16.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-minmax-avx512f-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:624:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 624 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vsubc_minmax_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsubc-minmax-avx512f-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-minmax-avx512f-x32.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-minmax-avx512f-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:625:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 625 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vsubc_minmax_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vclamp/gen/f32-vclamp-avx512f-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vclamp/gen/f32-vclamp-avx512f-x16.c:23:39: warning: argument 4 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vclamp/gen/f32-vclamp-avx512f-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:240:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 240 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:244:1: note: in expansion of macro ‘DECLARE_F32_VCLAMP_UKERNEL_FUNCTION’ 244 | DECLARE_F32_VCLAMP_UKERNEL_FUNCTION(xnn_f32_vclamp_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vclamp/gen/f32-vclamp-avx512f-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vclamp/gen/f32-vclamp-avx512f-x32.c:23:39: warning: argument 4 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vclamp/gen/f32-vclamp-avx512f-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:240:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 240 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:245:1: note: in expansion of macro ‘DECLARE_F32_VCLAMP_UKERNEL_FUNCTION’ 245 | DECLARE_F32_VCLAMP_UKERNEL_FUNCTION(xnn_f32_vclamp_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-x16.c:23:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:390:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 390 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx512f_rr1_lut16_p3_perm_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-x32.c:23:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:391:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 391 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx512f_rr1_lut16_p3_perm_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-x48.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-x48.c:23:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-x48.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:392:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 392 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx512f_rr1_lut16_p3_perm_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-x64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-x64.c:23:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-x64.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:393:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 393 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx512f_rr1_lut16_p3_perm_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-x80.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-x80.c:23:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-x80.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:394:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 394 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx512f_rr1_lut16_p3_perm_x80) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-x96.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-x96.c:23:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-x96.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:395:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 395 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx512f_rr1_lut16_p3_perm_x96) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-x112.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-x112.c:23:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-x112.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:396:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 396 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx512f_rr1_lut16_p3_perm_x112) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-x128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-x128.c:23:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-x128.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:397:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 397 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx512f_rr1_lut16_p3_perm_x128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-x16.c:23:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:399:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 399 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx512f_rr1_p6_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-x32.c:23:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:400:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 400 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx512f_rr1_p6_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-x48.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-x48.c:23:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-x48.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:401:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 401 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx512f_rr1_p6_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-x64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-x64.c:23:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-x64.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:402:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 402 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx512f_rr1_p6_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-x80.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-x80.c:23:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-x80.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:403:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 403 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx512f_rr1_p6_x80) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-x96.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-x96.c:23:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-x96.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:404:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 404 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx512f_rr1_p6_x96) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-x112.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-x112.c:23:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-x112.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:405:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 405 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx512f_rr1_p6_x112) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-x128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-x128.c:23:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-x128.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:406:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 406 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx512f_rr1_p6_x128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vhswish/gen/f32-vhswish-avx512f-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vhswish/gen/f32-vhswish-avx512f-x16.c:23:39: warning: argument 4 of type ‘const union xnn_f32_hswish_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_hswish_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vhswish/gen/f32-vhswish-avx512f-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:498:42: note: previously declared as ‘const union xnn_f32_hswish_params *’ 498 | const union xnn_f32_hswish_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:513:1: note: in expansion of macro ‘DECLARE_F32_VHSWISH_UKERNEL_FUNCTION’ 513 | DECLARE_F32_VHSWISH_UKERNEL_FUNCTION(xnn_f32_vhswish_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vhswish/gen/f32-vhswish-avx512f-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vhswish/gen/f32-vhswish-avx512f-x32.c:23:39: warning: argument 4 of type ‘const union xnn_f32_hswish_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_hswish_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vhswish/gen/f32-vhswish-avx512f-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:498:42: note: previously declared as ‘const union xnn_f32_hswish_params *’ 498 | const union xnn_f32_hswish_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:514:1: note: in expansion of macro ‘DECLARE_F32_VHSWISH_UKERNEL_FUNCTION’ 514 | DECLARE_F32_VHSWISH_UKERNEL_FUNCTION(xnn_f32_vhswish_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vlrelu/gen/f32-vlrelu-avx512f-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vlrelu/gen/f32-vlrelu-avx512f-x16.c:23:38: warning: argument 4 of type ‘const union xnn_f32_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vlrelu/gen/f32-vlrelu-avx512f-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:548:41: note: previously declared as ‘const union xnn_f32_lrelu_params *’ 548 | const union xnn_f32_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:566:1: note: in expansion of macro ‘DECLARE_F32_VLRELU_UKERNEL_FUNCTION’ 566 | DECLARE_F32_VLRELU_UKERNEL_FUNCTION(xnn_f32_vlrelu_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vlrelu/gen/f32-vlrelu-avx512f-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vlrelu/gen/f32-vlrelu-avx512f-x32.c:23:38: warning: argument 4 of type ‘const union xnn_f32_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vlrelu/gen/f32-vlrelu-avx512f-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:548:41: note: previously declared as ‘const union xnn_f32_lrelu_params *’ 548 | const union xnn_f32_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:567:1: note: in expansion of macro ‘DECLARE_F32_VLRELU_UKERNEL_FUNCTION’ 567 | DECLARE_F32_VLRELU_UKERNEL_FUNCTION(xnn_f32_vlrelu_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrelu/gen/f32-vrelu-avx512f-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrelu/gen/f32-vrelu-avx512f-x16.c:23:37: warning: argument 4 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrelu/gen/f32-vrelu-avx512f-x16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:623:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 623 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:627:1: note: in expansion of macro ‘DECLARE_F32_VRELU_UKERNEL_FUNCTION’ 627 | DECLARE_F32_VRELU_UKERNEL_FUNCTION(xnn_f32_vrelu_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrelu/gen/f32-vrelu-avx512f-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrelu/gen/f32-vrelu-avx512f-x32.c:23:37: warning: argument 4 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrelu/gen/f32-vrelu-avx512f-x32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:623:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 623 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:628:1: note: in expansion of macro ‘DECLARE_F32_VRELU_UKERNEL_FUNCTION’ 628 | DECLARE_F32_VRELU_UKERNEL_FUNCTION(xnn_f32_vrelu_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndd-avx512f-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndd-avx512f-x16.c:24:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndd-avx512f-x16.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:712:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 712 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndd_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndd-avx512f-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndd-avx512f-x32.c:24:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndd-avx512f-x32.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:713:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 713 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndd_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndne-avx512f-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndne-avx512f-x16.c:24:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndne-avx512f-x16.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:658:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 658 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndne_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndne-avx512f-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndne-avx512f-x32.c:24:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndne-avx512f-x32.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:659:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 659 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndne_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndu-avx512f-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndu-avx512f-x16.c:24:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndu-avx512f-x16.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:694:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 694 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndu_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndu-avx512f-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndu-avx512f-x32.c:24:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndu-avx512f-x32.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:695:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 695 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndu_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndz-avx512f-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndz-avx512f-x16.c:24:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndz-avx512f-x16.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:676:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 676 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndz_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndz-avx512f-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndz-avx512f-x32.c:24:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndz-avx512f-x32.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:677:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 677 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndz_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx512f-p5-scalef-x16.c.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx512f-p5-scalef-x32.c.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx512f-p5-scalef-x48.c.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx512f-p5-scalef-x64.c.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx512f-p5-scalef-x80.c.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx512f-p5-scalef-x96.c.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx512f-p5-scalef-x112.c.o [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/BatchRulesScatterOps.cpp.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx512f-p5-scalef-x128.c.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx512f-p5-scalef-x144.c.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx512f-p5-scalef-x160.c.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx512f-p5-scalef-x176.c.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx512f-p5-scalef-x192.c.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx512f-p5-scalef-x16.c.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx512f-p5-scalef-x32.c.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx512f-p5-scalef-x48.c.o [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/BatchRulesUnaryOps.cpp.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx512f-p5-scalef-x64.c.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx512f-p5-scalef-x80.c.o [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/BatchRulesViews.cpp.o [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/BatchedFallback.cpp.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx512f-p5-scalef-x96.c.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx512f-p5-scalef-x112.c.o [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx512f-p5-scalef-x128.c.o [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx512f-p5-scalef-x144.c.o [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx512f-p5-scalef-x160.c.o [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx512f-p5-scalef-x176.c.o [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx512f-p5-scalef-x192.c.o [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-x16.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1006:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1006 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_lut16_p3_perm_scalef_div_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-x32.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1007:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1007 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_lut16_p3_perm_scalef_div_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-x48.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-x48.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-x48.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1008:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1008 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_lut16_p3_perm_scalef_div_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-x64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-x64.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-x64.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1009:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1009 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_lut16_p3_perm_scalef_div_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-x80.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-x80.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-x80.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1010:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1010 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_lut16_p3_perm_scalef_div_x80) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-x96.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-x96.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-x96.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1011:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1011 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_lut16_p3_perm_scalef_div_x96) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-x112.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-x112.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-x112.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1012:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1012 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_lut16_p3_perm_scalef_div_x112) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-x128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-x128.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-x128.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1013:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1013 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_lut16_p3_perm_scalef_div_x128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-x16.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1015:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1015 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_lut16_p3_perm_scalef_nr1fma_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-x32.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1016:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1016 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_lut16_p3_perm_scalef_nr1fma_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-x48.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-x48.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-x48.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1017:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1017 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_lut16_p3_perm_scalef_nr1fma_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-x64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-x64.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-x64.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1018:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1018 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_lut16_p3_perm_scalef_nr1fma_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-x80.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-x80.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-x80.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1019:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1019 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_lut16_p3_perm_scalef_nr1fma_x80) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-x96.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-x96.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-x96.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1020:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1020 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_lut16_p3_perm_scalef_nr1fma_x96) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-x112.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-x112.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-x112.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1021:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1021 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_lut16_p3_perm_scalef_nr1fma_x112) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-x128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-x128.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-x128.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1022:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1022 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_lut16_p3_perm_scalef_nr1fma_x128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-div-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-div-x16.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-div-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:988:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 988 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_p5_scalef_div_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-div-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-div-x32.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-div-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:989:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 989 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_p5_scalef_div_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-div-x48.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-div-x48.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-div-x48.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:990:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 990 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_p5_scalef_div_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-div-x64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-div-x64.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-div-x64.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:991:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 991 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_p5_scalef_div_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-div-x80.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-div-x80.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-div-x80.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:992:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 992 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_p5_scalef_div_x80) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-div-x96.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-div-x96.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-div-x96.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:993:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 993 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_p5_scalef_div_x96) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-div-x112.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-div-x112.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-div-x112.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:994:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 994 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_p5_scalef_div_x112) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-div-x128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-div-x128.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-div-x128.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:995:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 995 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_p5_scalef_div_x128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-x16.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:997:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 997 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_p5_scalef_nr1fma_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-x32.c.o [ 72%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/BatchedTensorImpl.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-x32.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:998:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 998 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_p5_scalef_nr1fma_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-x48.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-x48.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-x48.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:999:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 999 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_p5_scalef_nr1fma_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-x64.c.o [ 72%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/DynamicLayer.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-x64.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-x64.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1000:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1000 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_p5_scalef_nr1fma_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-x80.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-x80.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-x80.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1001:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1001 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_p5_scalef_nr1fma_x80) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-x96.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-x96.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-x96.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1002:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1002 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_p5_scalef_nr1fma_x96) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-x112.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-x112.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-x112.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1003:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1003 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_p5_scalef_nr1fma_x112) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-x128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-x128.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-x128.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1004:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1004 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_p5_scalef_nr1fma_x128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-x16.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1024:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1024 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr2_lut32_p2_perm2_scalef_div_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-x32.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1025:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1025 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr2_lut32_p2_perm2_scalef_div_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-x48.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-x48.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-x48.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1026:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1026 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr2_lut32_p2_perm2_scalef_div_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/FunctionalizeInterpreter.cpp.o [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-x64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-x64.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-x64.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1027:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1027 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr2_lut32_p2_perm2_scalef_div_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-x80.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-x80.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-x80.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1028:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1028 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr2_lut32_p2_perm2_scalef_div_x80) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-x96.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-x96.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-x96.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1029:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1029 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr2_lut32_p2_perm2_scalef_div_x96) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/Interpreter.cpp.o [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-x112.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-x112.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-x112.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1030:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1030 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr2_lut32_p2_perm2_scalef_div_x112) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-x128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-x128.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-x128.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1031:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1031 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr2_lut32_p2_perm2_scalef_div_x128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-x16.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1033:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1033 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr2_lut32_p2_perm2_scalef_nr1fma_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-x32.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1034:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1034 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr2_lut32_p2_perm2_scalef_nr1fma_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-x48.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-x48.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-x48.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1035:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1035 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr2_lut32_p2_perm2_scalef_nr1fma_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-x64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-x64.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-x64.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1036:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1036 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr2_lut32_p2_perm2_scalef_nr1fma_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-x80.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-x80.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-x80.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1037:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1037 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr2_lut32_p2_perm2_scalef_nr1fma_x80) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-x96.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-x96.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-x96.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1038:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1038 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr2_lut32_p2_perm2_scalef_nr1fma_x96) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-x112.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-x112.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-x112.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1039:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1039 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr2_lut32_p2_perm2_scalef_nr1fma_x112) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-x128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-x128.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-x128.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1040:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1040 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr2_lut32_p2_perm2_scalef_nr1fma_x128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-avx512f-nr1fma1adj-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-avx512f-nr1fma1adj-x16.c:23:37: warning: argument 4 of type ‘const union xnn_f32_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-avx512f-nr1fma1adj-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:734:40: note: previously declared as ‘const union xnn_f32_sqrt_params *’ 734 | const union xnn_f32_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:776:1: note: in expansion of macro ‘DECLARE_F32_VSQRT_UKERNEL_FUNCTION’ 776 | DECLARE_F32_VSQRT_UKERNEL_FUNCTION(xnn_f32_vsqrt_ukernel__avx512f_nr1fma1adj_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-avx512f-nr1fma1adj-x32.c.o [ 72%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/LegacyBatchingRegistrations.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-avx512f-nr1fma1adj-x32.c:23:37: warning: argument 4 of type ‘const union xnn_f32_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-avx512f-nr1fma1adj-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:734:40: note: previously declared as ‘const union xnn_f32_sqrt_params *’ 734 | const union xnn_f32_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:777:1: note: in expansion of macro ‘DECLARE_F32_VSQRT_UKERNEL_FUNCTION’ 777 | DECLARE_F32_VSQRT_UKERNEL_FUNCTION(xnn_f32_vsqrt_ukernel__avx512f_nr1fma1adj_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-avx512f-nr1fma1adj-x48.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-avx512f-nr1fma1adj-x48.c:23:37: warning: argument 4 of type ‘const union xnn_f32_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-avx512f-nr1fma1adj-x48.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:734:40: note: previously declared as ‘const union xnn_f32_sqrt_params *’ 734 | const union xnn_f32_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:778:1: note: in expansion of macro ‘DECLARE_F32_VSQRT_UKERNEL_FUNCTION’ 778 | DECLARE_F32_VSQRT_UKERNEL_FUNCTION(xnn_f32_vsqrt_ukernel__avx512f_nr1fma1adj_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-avx512f-nr1fma1adj-x64.c.o [ 72%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/LegacyVmapTransforms.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-avx512f-nr1fma1adj-x64.c:23:37: warning: argument 4 of type ‘const union xnn_f32_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-avx512f-nr1fma1adj-x64.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:734:40: note: previously declared as ‘const union xnn_f32_sqrt_params *’ 734 | const union xnn_f32_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:779:1: note: in expansion of macro ‘DECLARE_F32_VSQRT_UKERNEL_FUNCTION’ 779 | DECLARE_F32_VSQRT_UKERNEL_FUNCTION(xnn_f32_vsqrt_ukernel__avx512f_nr1fma1adj_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-avx512f-nr1fma1adj-x80.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-avx512f-nr1fma1adj-x80.c:23:37: warning: argument 4 of type ‘const union xnn_f32_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-avx512f-nr1fma1adj-x80.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:734:40: note: previously declared as ‘const union xnn_f32_sqrt_params *’ 734 | const union xnn_f32_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:780:1: note: in expansion of macro ‘DECLARE_F32_VSQRT_UKERNEL_FUNCTION’ 780 | DECLARE_F32_VSQRT_UKERNEL_FUNCTION(xnn_f32_vsqrt_ukernel__avx512f_nr1fma1adj_x80) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-avx512f-nr1fma1adj-x96.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-avx512f-nr1fma1adj-x96.c:23:37: warning: argument 4 of type ‘const union xnn_f32_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-avx512f-nr1fma1adj-x96.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:734:40: note: previously declared as ‘const union xnn_f32_sqrt_params *’ 734 | const union xnn_f32_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:781:1: note: in expansion of macro ‘DECLARE_F32_VSQRT_UKERNEL_FUNCTION’ 781 | DECLARE_F32_VSQRT_UKERNEL_FUNCTION(xnn_f32_vsqrt_ukernel__avx512f_nr1fma1adj_x96) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-avx512f-nr1fma1adj-x112.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-avx512f-nr1fma1adj-x112.c:23:37: warning: argument 4 of type ‘const union xnn_f32_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-avx512f-nr1fma1adj-x112.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:734:40: note: previously declared as ‘const union xnn_f32_sqrt_params *’ 734 | const union xnn_f32_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:782:1: note: in expansion of macro ‘DECLARE_F32_VSQRT_UKERNEL_FUNCTION’ 782 | DECLARE_F32_VSQRT_UKERNEL_FUNCTION(xnn_f32_vsqrt_ukernel__avx512f_nr1fma1adj_x112) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-avx512f-nr1fma1adj-x128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-avx512f-nr1fma1adj-x128.c:23:37: warning: argument 4 of type ‘const union xnn_f32_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-avx512f-nr1fma1adj-x128.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:734:40: note: previously declared as ‘const union xnn_f32_sqrt_params *’ 734 | const union xnn_f32_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:783:1: note: in expansion of macro ‘DECLARE_F32_VSQRT_UKERNEL_FUNCTION’ 783 | DECLARE_F32_VSQRT_UKERNEL_FUNCTION(xnn_f32_vsqrt_ukernel__avx512f_nr1fma1adj_x128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vabs-avx512f-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vabs-avx512f-x16.c:23:36: warning: argument 4 of type ‘const union xnn_f32_abs_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_abs_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vabs-avx512f-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:213:39: note: previously declared as ‘const union xnn_f32_abs_params *’ 213 | const union xnn_f32_abs_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:224:1: note: in expansion of macro ‘DECLARE_F32_VABS_UKERNEL_FUNCTION’ 224 | DECLARE_F32_VABS_UKERNEL_FUNCTION(xnn_f32_vabs_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vabs-avx512f-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vabs-avx512f-x32.c:23:36: warning: argument 4 of type ‘const union xnn_f32_abs_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_abs_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vabs-avx512f-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:213:39: note: previously declared as ‘const union xnn_f32_abs_params *’ 213 | const union xnn_f32_abs_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:225:1: note: in expansion of macro ‘DECLARE_F32_VABS_UKERNEL_FUNCTION’ 225 | DECLARE_F32_VABS_UKERNEL_FUNCTION(xnn_f32_vabs_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vneg-avx512f-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vneg-avx512f-x16.c:23:36: warning: argument 4 of type ‘const union xnn_f32_neg_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_neg_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vneg-avx512f-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:595:39: note: previously declared as ‘const union xnn_f32_neg_params *’ 595 | const union xnn_f32_neg_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:607:1: note: in expansion of macro ‘DECLARE_F32_VNEG_UKERNEL_FUNCTION’ 607 | DECLARE_F32_VNEG_UKERNEL_FUNCTION(xnn_f32_vneg_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vneg-avx512f-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vneg-avx512f-x32.c:23:36: warning: argument 4 of type ‘const union xnn_f32_neg_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_neg_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vneg-avx512f-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:595:39: note: previously declared as ‘const union xnn_f32_neg_params *’ 595 | const union xnn_f32_neg_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:608:1: note: in expansion of macro ‘DECLARE_F32_VNEG_UKERNEL_FUNCTION’ 608 | DECLARE_F32_VNEG_UKERNEL_FUNCTION(xnn_f32_vneg_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vsqr-avx512f-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vsqr-avx512f-x16.c:23:40: warning: argument 4 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vsqr-avx512f-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1102:43: note: previously declared as ‘const union xnn_f32_default_params *’ 1102 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1113:1: note: in expansion of macro ‘DECLARE_F32_VSQR_UKERNEL_FUNCTION’ 1113 | DECLARE_F32_VSQR_UKERNEL_FUNCTION(xnn_f32_vsqr_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vsqr-avx512f-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vsqr-avx512f-x32.c:23:40: warning: argument 4 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vsqr-avx512f-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1102:43: note: previously declared as ‘const union xnn_f32_default_params *’ 1102 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1114:1: note: in expansion of macro ‘DECLARE_F32_VSQR_UKERNEL_FUNCTION’ 1114 | DECLARE_F32_VSQR_UKERNEL_FUNCTION(xnn_f32_vsqr_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/exp-f32-avx512f-rr2-lut16-p3-perm-scalef.c.o [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/exp-f32-avx512f-rr2-lut16-p3-perm.c.o [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/exp-f32-avx512f-rr2-lut32-p2-perm2-scalef.c.o [ 73%] Building CXX object 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C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f32-avx512f-rr2-lut64-p2-gather-scalef-nr1fma.c.o [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f32-avx512f-rr2-p5-scalef-div.c.o [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f32-avx512f-rr2-p5-scalef-nr1fma1adj.c.o [ 73%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/VmapInterpreter.cpp.o [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f32-avx512f-rr2-p5-scalef-nr1fma.c.o [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sqrt-f32-avx512f-nr1fma1adj.c.o [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sqrt-f32-avx512f-nr1fma.c.o [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sqrt-f32-avx512f-nr2fma.c.o [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx512skx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx512skx-x16.c:23:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx512skx-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:72:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 72 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__avx512skx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx512skx-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx512skx-x32.c:23:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx512skx-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:73:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 73 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__avx512skx_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-avx512skx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-avx512skx-x16.c:23:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-avx512skx-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:134:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 134 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__avx512skx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-avx512skx-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-avx512skx-x32.c:23:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-avx512skx-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:135:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 135 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__avx512skx_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx512skx-x32.c.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_max_i64.o [ 73%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/VmapModeRegistrations.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx512skx-x32.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx512skx-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:195:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 195 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__avx512skx_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx512skx-x64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx512skx-x64.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx512skx-x64.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:196:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 196 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__avx512skx_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx512skx-x96.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx512skx-x96.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx512skx-x96.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:197:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 197 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__avx512skx_x96) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx512skx-x128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx512skx-x128.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx512skx-x128.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:198:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 198 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__avx512skx_x128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx512skx-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx512skx-x32.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx512skx-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:263:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 263 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__avx512skx_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx512skx-x64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx512skx-x64.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx512skx-x64.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:264:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 264 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__avx512skx_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx512skx-x96.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx512skx-x96.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx512skx-x96.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:265:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 265 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__avx512skx_x96) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx512skx-x128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx512skx-x128.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx512skx-x128.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:266:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 266 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__avx512skx_x128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-3p32c-minmax-fp32-avx512skx-mul32.c.o [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-avx512skx-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-3p32c-minmax-fp32-avx512skx-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_DISABLE_MSAN | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-3p32c-minmax-fp32-avx512skx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:950:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 950 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_3p32c__avx512skx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-avx512skx-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_DISABLE_MSAN | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-avx512skx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1009:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1009 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p16c__avx512skx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p32c-minmax-fp32-avx512skx-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p32c-minmax-fp32-avx512skx-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_DISABLE_MSAN | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p32c-minmax-fp32-avx512skx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1010:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1010 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p32c__avx512skx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-avx512skx-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-avx512skx-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_DISABLE_MSAN | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-avx512skx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1086:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1086 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p16c__avx512skx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p32c-minmax-fp32-avx512skx-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p32c-minmax-fp32-avx512skx-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_DISABLE_MSAN | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p32c-minmax-fp32-avx512skx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1087:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1087 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p32c__avx512skx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x16c8-minmax-fp32-avx512skx.c.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_max_u64.o [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x16c8-minmax-fp32-avx512skx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x16c8-minmax-fp32-avx512skx.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x16c8-minmax-fp32-avx512skx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1903:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1903 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x16c8-minmax-fp32-avx512skx.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x16c8-minmax-fp32-avx512skx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1904:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1904 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x16c8-minmax-fp32-avx512skx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x16c8-minmax-fp32-avx512skx.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x16c8-minmax-fp32-avx512skx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1905:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1905 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-4x16c8-minmax-fp32-avx512skx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x16c8-minmax-fp32-avx512skx.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x16c8-minmax-fp32-avx512skx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1906:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1906 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_4x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x16c8-minmax-fp32-avx512skx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x16c8-minmax-fp32-avx512skx.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x16c8-minmax-fp32-avx512skx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1568:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1568 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x16c8-minmax-fp32-avx512skx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x16c8-minmax-fp32-avx512skx.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x16c8-minmax-fp32-avx512skx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1569:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1569 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x16c8-minmax-fp32-avx512skx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x16c8-minmax-fp32-avx512skx.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x16c8-minmax-fp32-avx512skx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1570:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1570 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-4x16c8-minmax-fp32-avx512skx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x16c8-minmax-fp32-avx512skx.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x16c8-minmax-fp32-avx512skx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1571:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1571 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_4x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx512skx-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx512skx-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_DISABLE_MSAN | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx512skx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:745:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 745 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p16c__avx512skx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p32c-minmax-fp32-avx512skx-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p32c-minmax-fp32-avx512skx-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_DISABLE_MSAN | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p32c-minmax-fp32-avx512skx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:746:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 746 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p32c__avx512skx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx512skx-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx512skx-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_DISABLE_MSAN | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx512skx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:841:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 841 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p16c__avx512skx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p32c-minmax-fp32-avx512skx-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p32c-minmax-fp32-avx512skx-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_DISABLE_MSAN | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p32c-minmax-fp32-avx512skx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:842:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 842 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p32c__avx512skx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_max_f32.o [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx512skx-x16.c.o [ 73%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/record_function.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx512skx-x16.c:23:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx512skx-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:376:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 376 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__avx512skx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx512skx-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx512skx-x32.c:23:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx512skx-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:377:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 377 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__avx512skx_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx512skx-x48.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx512skx-x48.c:23:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx512skx-x48.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:378:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 378 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__avx512skx_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx512skx-x64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx512skx-x64.c:23:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx512skx-x64.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:379:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 379 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__avx512skx_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x16c8-minmax-fp32-avx512skx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x16c8-minmax-fp32-avx512skx.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x16c8-minmax-fp32-avx512skx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1517:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1517 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x16c8-minmax-fp32-avx512skx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x16c8-minmax-fp32-avx512skx.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x16c8-minmax-fp32-avx512skx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1518:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1518 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/ATenGeneral.cpp.o [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/BackendSelectFallbackKernel.cpp.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x16c8-minmax-fp32-avx512skx.c.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_max_f16.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x16c8-minmax-fp32-avx512skx.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x16c8-minmax-fp32-avx512skx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1519:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1519 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x16c8-minmax-fp32-avx512skx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x16c8-minmax-fp32-avx512skx.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x16c8-minmax-fp32-avx512skx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1520:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1520 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_4x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x16c8-minmax-fp32-avx512skx.c.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x16c8-minmax-fp32-avx512skx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x16c8-minmax-fp32-avx512skx.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x16c8-minmax-fp32-avx512skx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1199:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1199 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/DeprecatedTypeProperties.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x16c8-minmax-fp32-avx512skx.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x16c8-minmax-fp32-avx512skx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1200:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1200 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x16c8-minmax-fp32-avx512skx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x16c8-minmax-fp32-avx512skx.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x16c8-minmax-fp32-avx512skx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1201:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1201 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-4x16c8-minmax-fp32-avx512skx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x16c8-minmax-fp32-avx512skx.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x16c8-minmax-fp32-avx512skx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1202:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1202 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_4x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-avx512skx-mul32-ld128-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx512skx-mul32-ld128-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx512skx-mul32-ld128-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:158:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 158 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__avx512skx_mul32_ld128_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-avx512skx-mul32-ld128-x32.c.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx512skx-mul32-ld128-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx512skx-mul32-ld128-x32.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx512skx-mul32-ld128-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:159:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 159 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__avx512skx_mul32_ld128_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx512skx-mul32-ld128-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx512skx-mul32-ld128-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:213:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 213 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__avx512skx_mul32_ld128_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx512skx-mul32-ld128-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx512skx-mul32-ld128-x32.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx512skx-mul32-ld128-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:214:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 214 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__avx512skx_mul32_ld128_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-avx512skx-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-avx512skx-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_DISABLE_MSAN | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-avx512skx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:567:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 567 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p16c__avx512skx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p32c-minmax-fp32-avx512skx-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p32c-minmax-fp32-avx512skx-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_DISABLE_MSAN | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p32c-minmax-fp32-avx512skx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:568:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 568 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p32c__avx512skx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-avx512skx-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-avx512skx-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_DISABLE_MSAN | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-avx512skx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:627:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 627 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p16c__avx512skx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p32c-minmax-fp32-avx512skx-mul32.c.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_max_bf16.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx512skx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p32c-minmax-fp32-avx512skx-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_DISABLE_MSAN | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p32c-minmax-fp32-avx512skx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:628:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 628 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p32c__avx512skx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx512skx-x16.c:23:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx512skx-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:469:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 469 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__avx512skx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx512skx-x32.c.o [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/DeprecatedTypePropertiesRegistry.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx512skx-x32.c:23:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx512skx-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:470:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 470 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__avx512skx_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx512skx-x48.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx512skx-x48.c:23:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx512skx-x48.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:471:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 471 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__avx512skx_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx512skx-x64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx512skx-x64.c:23:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx512skx-x64.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:472:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 472 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__avx512skx_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x16c8-minmax-fp32-avx512skx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x16c8-minmax-fp32-avx512skx.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x16c8-minmax-fp32-avx512skx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:868:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 868 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x16c8-minmax-fp32-avx512skx.c.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x16c8-minmax-fp32-avx512skx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x16c8-minmax-fp32-avx512skx.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x16c8-minmax-fp32-avx512skx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:869:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 869 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x16c8-minmax-fp32-avx512skx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x16c8-minmax-fp32-avx512skx.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x16c8-minmax-fp32-avx512skx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:870:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 870 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x16c8-minmax-fp32-avx512skx.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x16c8-minmax-fp32-avx512skx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:871:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 871 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_4x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x16c8-minmax-fp32-avx512skx.c.o [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/Dict.cpp.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x16c8-minmax-fp32-avx512skx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x16c8-minmax-fp32-avx512skx.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x16c8-minmax-fp32-avx512skx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:621:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 621 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x16c8-minmax-fp32-avx512skx.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x16c8-minmax-fp32-avx512skx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:622:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 622 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/Dimname.cpp.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x16c8-minmax-fp32-avx512skx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x16c8-minmax-fp32-avx512skx.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x16c8-minmax-fp32-avx512skx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:623:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 623 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x16c8-minmax-fp32-avx512skx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x16c8-minmax-fp32-avx512skx.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x16c8-minmax-fp32-avx512skx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:624:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 624 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_4x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vadd/gen/qu8-vadd-minmax-avx512skx-mul32-ld128-x16.c.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vadd/gen/qu8-vadd-minmax-avx512skx-mul32-ld128-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-avx512skx-mul32-ld128-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-avx512skx-mul32-ld128-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:57:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 57 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vadd_minmax_ukernel__avx512skx_mul32_ld128_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/Formatting.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-avx512skx-mul32-ld128-x32.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-avx512skx-mul32-ld128-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:58:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 58 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vadd_minmax_ukernel__avx512skx_mul32_ld128_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx512skx-mul32-ld128-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx512skx-mul32-ld128-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx512skx-mul32-ld128-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:95:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 95 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vaddc_minmax_ukernel__avx512skx_mul32_ld128_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx512skx-mul32-ld128-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx512skx-mul32-ld128-x32.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx512skx-mul32-ld128-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:96:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 96 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vaddc_minmax_ukernel__avx512skx_mul32_ld128_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx512skx-vpshufb-x64.c.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_premulsum_i8.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx512skx-vpshufb-x128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx512skx-vpshufb-x64.c:23:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 23 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx512skx-vpshufb-x64.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:52:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 52 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__avx512skx_vpshufb_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx512skx-vpshufb-x128.c:23:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 23 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx512skx-vpshufb-x128.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:53:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 53 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__avx512skx_vpshufb_x128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx512skx-vpshufb-x192.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx512skx-vpshufb-x192.c:23:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 23 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx512skx-vpshufb-x192.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:54:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 54 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__avx512skx_vpshufb_x192) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx512skx-vpshufb-x256.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx512skx-vpshufb-x256.c:23:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 23 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx512skx-vpshufb-x256.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:55:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 55 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__avx512skx_vpshufb_x256) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx512vbmi-vpermx2b-x64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx512vbmi-vpermx2b-x64.c:23:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 23 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx512vbmi-vpermx2b-x64.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:57:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 57 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__avx512vbmi_vpermx2b_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx512vbmi-vpermx2b-x128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx512vbmi-vpermx2b-x128.c:23:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 23 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx512vbmi-vpermx2b-x128.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:58:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 58 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__avx512vbmi_vpermx2b_x128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx512vbmi-vpermx2b-x192.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx512vbmi-vpermx2b-x192.c:23:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 23 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx512vbmi-vpermx2b-x192.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:59:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 59 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__avx512vbmi_vpermx2b_x192) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx512vbmi-vpermx2b-x256.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx512vbmi-vpermx2b-x256.c:23:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 23 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx512vbmi-vpermx2b-x256.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:60:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 60 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__avx512vbmi_vpermx2b_x256) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/tables/exp2-k-over-64.c.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/tables/exp2-k-over-2048.c.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/tables/exp2minus-k-over-4.c.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/tables/exp2minus-k-over-8.c.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/tables/exp2minus-k-over-16.c.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/tables/exp2minus-k-over-64.c.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/tables/exp2minus-k-over-2048.c.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/tables/vlog.c.o [ 74%] Built target microkernels-all [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/Generator.cpp.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_premulsum_u32.o [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/List.cpp.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_premulsum_i64.o [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/NamedRegistrations.cpp.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_premulsum_u64.o [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/NamedTensor.cpp.o [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/PythonFallbackKernel.cpp.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_premulsum_i32.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_premulsum_u8.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_max_f64.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_max_i32.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_max_u8.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_max_i8.o [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/PythonOpRegistrationTrampoline.cpp.o [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/Range.cpp.o [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/Tensor.cpp.o [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/TorchDispatchUtils.cpp.o [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/VariableFallbackKernel.cpp.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_premulsum_f64.o [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/VariableHooksInterface.cpp.o [ 75%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/Vitals.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorImpl.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/build/aten/src/ATen/core/TensorBody.h:20, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/core/Tensor.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/core/Tensor.cpp:1: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h: In function ‘c10::DispatchKey c10::computeDispatchKey(optional, optional, optional)’: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:666:5: warning: this statement may fall through [-Wimplicit-fallthrough=] 666 | } | ^ /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:667:5: note: here 667 | case Layout::Sparse: | ^~~~ [ 75%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/adaption.cpp.o [ 75%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/blob.cpp.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sumpostdiv_u8.o [ 75%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/boxing/KernelFunction.cpp.o [ 75%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/class_type.cpp.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sumpostdiv_u32.o [ 75%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/custom_class.cpp.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sumpostdiv_i64.o [ 75%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/dispatch/DispatchKeyExtractor.cpp.o [ 75%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/dispatch/Dispatcher.cpp.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sumpostdiv_i32.o [ 75%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/dispatch/ObservedOperators.cpp.o [ 75%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/dispatch/OperatorEntry.cpp.o [ 75%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/dynamic_type.cpp.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sumpostdiv_u64.o [ 75%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/function_schema.cpp.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sumpostdiv_f16.o [ 75%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/interned_strings.cpp.o Compiling all_gather.cu > 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broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sum_i8.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sumpostdiv_i8.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_premulsum_bf16.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_premulsum_f32.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_premulsum_f16.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_min_bf16.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_min_f64.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_min_f32.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_min_f16.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_min_u64.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_min_i64.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_min_u32.o [ 75%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/register_symbols.cpp.o [ 75%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/tensor_type.cpp.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sum_u32.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sum_i32.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sum_f16.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sum_u64.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sum_i64.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_u64.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_i64.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_i32.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_u8.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_i8.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_premulsum_bf16.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_premulsum_f64.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_premulsum_f32.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_premulsum_f16.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_premulsum_u64.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_premulsum_i64.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_premulsum_u32.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_premulsum_i32.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_premulsum_u8.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_premulsum_i8.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_max_bf16.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_max_f64.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_max_f32.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_max_u64.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_max_i64.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_max_u32.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_max_i32.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_max_u8.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_max_i8.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_min_bf16.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_min_f64.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_min_f32.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_min_u64.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_min_i32.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_min_u8.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_prod_bf16.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_prod_f64.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_prod_f16.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_prod_u64.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_prod_u32.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_prod_i32.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_prod_u8.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_prod_i8.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sum_bf16.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sum_f64.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sum_f32.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sum_f16.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sum_u64.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sum_i64.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sum_u32.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sum_i32.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sum_u8.o [ 75%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/type.cpp.o [ 75%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/type_factory.cpp.o [ 75%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/union_type.cpp.o [ 75%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/frontend/error_report.cpp.o [ 75%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/frontend/function_schema_parser.cpp.o [ 75%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/frontend/lexer.cpp.o [ 75%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/frontend/schema_type_parser.cpp.o [ 75%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/frontend/strtod.cpp.o [ 75%] Building CXX object 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75%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Col2Im.cpp.o [ 75%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/ComparisonUtils.cpp.o [ 75%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Convolution.cpp.o [ 75%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/ConvolutionMM2d.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorImpl.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/build/aten/src/ATen/core/TensorBody.h:20, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/core/Tensor.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/Convolution.cpp:2: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h: In function ‘c10::DispatchKey c10::computeDispatchKey(optional, optional, optional)’: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:666:5: warning: this statement may fall through [-Wimplicit-fallthrough=] 666 | } | ^ /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:667:5: note: here 667 | case Layout::Sparse: | ^~~~ [ 75%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/ConvolutionMM3d.cpp.o [ 75%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/ConvolutionTBC.cpp.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sumpostdiv_f32.o [ 75%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Copy.cpp.o [ 75%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Correlation.cpp.o [ 75%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Cross.cpp.o [ 75%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/DilatedMaxPool2d.cpp.o [ 75%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/DilatedMaxPool3d.cpp.o [ 75%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/DispatchStub.cpp.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sum_i8.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sumpostdiv_bf16.o [ 75%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Distance.cpp.o [ 75%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Distributions.cpp.o [ 75%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Dropout.cpp.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sum_u32.o [ 75%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Embedding.cpp.o [ 75%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/EmbeddingBag.cpp.o [ 75%] Building CXX object 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/builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_prod_f32.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_prod_f16.o [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/LossNLL2d.cpp.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sumpostdiv_i64.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sumpostdiv_u32.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sumpostdiv_i32.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sumpostdiv_u8.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sumpostdiv_i8.o [ 76%] Building CXX object 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/builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_min_bf16.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_min_f64.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_min_f32.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_min_f16.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_min_u64.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_premulsum_bf16.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_premulsum_f64.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_premulsum_f32.o [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/PadNd.cpp.o [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/PixelShuffle.cpp.o [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/PointwiseOps.cpp.o [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Pooling.cpp.o [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Pow.cpp.o [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/QuantizedLinear.cpp.o [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/RNN.cpp.o [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/RangeFactories.cpp.o [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/ReduceAllOps.cpp.o [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/ReduceOps.cpp.o [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/ReflectionPad.cpp.o [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Repeat.cpp.o [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/ReplicationPadding.cpp.o [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Resize.cpp.o [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/RowwisePrune.cpp.o [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Scalar.cpp.o [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/SegmentReduce.cpp.o [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/SobolEngineOps.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorImpl.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/build/aten/src/ATen/core/TensorBody.h:20, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/core/Tensor.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/RNN.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/RNN.cpp:2: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h: In function ‘c10::DispatchKey c10::computeDispatchKey(optional, optional, optional)’: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:666:5: warning: this statement may fall through [-Wimplicit-fallthrough=] 666 | } | ^ /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:667:5: note: here 667 | case Layout::Sparse: | ^~~~ Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_premulsum_f16.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_premulsum_u64.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_premulsum_i64.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_premulsum_u32.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_premulsum_i32.o [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/SobolEngineOpsUtils.cpp.o [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/SoftMax.cpp.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sumpostdiv_i64.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sumpostdiv_u32.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sumpostdiv_i32.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sumpostdiv_u8.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sumpostdiv_i8.o [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Sorting.cpp.o [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/SpectralOps.cpp.o [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/SummaryOps.cpp.o [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/TensorAdvancedIndexing.cpp.o [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/TensorCompare.cpp.o [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/TensorConversions.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorImpl.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/build/aten/src/ATen/core/TensorBody.h:20, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/core/Tensor.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/Sorting.cpp:2: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h: In function ‘c10::DispatchKey c10::computeDispatchKey(optional, optional, optional)’: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:666:5: warning: this statement may fall through [-Wimplicit-fallthrough=] 666 | } | ^ /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:667:5: note: here 667 | case Layout::Sparse: | ^~~~ [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/TensorFactories.cpp.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sumpostdiv_f32.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sumpostdiv_f16.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sumpostdiv_u64.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_premulsum_bf16.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_premulsum_f64.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_premulsum_f32.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_premulsum_u8.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_premulsum_i8.o [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/TensorIteratorReduce.cpp.o [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/TensorProperties.cpp.o [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/TensorShape.cpp.o [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/TensorTransformations.cpp.o [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/TestOps.cpp.o [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/TriangularOps.cpp.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sum_f16.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sum_u64.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sum_i64.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sum_u32.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sum_i32.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sum_u8.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sum_i8.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sumpostdiv_bf16.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sumpostdiv_f64.o [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/TypeProperties.cpp.o [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/UnaryOps.cpp.o [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Unfold2d.cpp.o [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Unfold3d.cpp.o [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/UnfoldBackward.cpp.o [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Unique.cpp.o [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/UpSample.cpp.o [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/UpSampleBicubic2d.cpp.o [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/UpSampleBilinear2d.cpp.o [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/UpSampleLinear1d.cpp.o [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/UpSampleNearest1d.cpp.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_prod_u8.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_prod_i32.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_prod_i8.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sum_bf16.o [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/UpSampleNearest2d.cpp.o [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/UpSampleNearest3d.cpp.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_prod_u64.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_prod_i64.o [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/UpSampleTrilinear3d.cpp.o [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/VariableMethodStubs.cpp.o [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/WeightNorm.cpp.o [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/group_norm.cpp.o [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/layer_norm.cpp.o [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/prim_native_functions.cpp.o [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/verbose_wrapper.cpp.o [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/ao_sparse/library.cpp.o [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/ao_sparse/quantized/cpu/fbgemm_utils.cpp.o [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/ao_sparse/quantized/cpu/qlinear.cpp.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_min_f16.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_min_u64.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_min_i64.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_min_u32.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_min_i32.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_min_u8.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_min_i8.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_prod_bf16.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_prod_f64.o [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/ao_sparse/quantized/cpu/qlinear_deserialize.cpp.o [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/ao_sparse/quantized/cpu/qlinear_dynamic.cpp.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_prod_f32.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_prod_f16.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_prod_u32.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sum_f64.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sum_f32.o [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/ao_sparse/quantized/cpu/qlinear_prepack.cpp.o [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/ao_sparse/quantized/cpu/qlinear_serialize.cpp.o [ 77%] Building CXX object 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/builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_max_i32.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_max_i8.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_min_bf16.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_min_f64.o [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/sparse/SparseMatMul.cpp.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_premulsum_u8.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_premulsum_i8.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_max_bf16.o [ 77%] Building CXX object 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caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/nested/NestedTensorMath.cpp.o [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/nested/NestedTensorMatmul.cpp.o [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/nested/NestedTensorTransformerFunctions.cpp.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_u8.o [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/nested/NestedTensorUnaryOps.cpp.o [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/nested/NestedTensorUtils.cpp.o [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/AffineQuantizer.cpp.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_f16.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_u64.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_i64.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_u32.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_i32.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_i8.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_premulsum_bf16.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_premulsum_f64.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_premulsum_f32.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_premulsum_f16.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_premulsum_u64.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_premulsum_i64.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_premulsum_u32.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_min_f32.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_premulsum_i32.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_max_bf16.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_max_f64.o [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/AffineQuantizerBase.cpp.o [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/Copy.cpp.o [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/FakeQuantPerChannelAffine.cpp.o [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/FakeQuantPerTensorAffine.cpp.o [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/QTensor.cpp.o [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/TensorAdvancedIndexing.cpp.o [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/TensorCompare.cpp.o [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/TensorFactories.cpp.o [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/AdaptiveAveragePooling.cpp.o [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/AveragePool2d.cpp.o [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/AveragePool3d.cpp.o [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/BinaryOps.cpp.o [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/ChannelShuffle.cpp.o [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/IntReprQuant.cpp.o [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/LinearUnpackImpl.cpp.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/MakePerTensorQuantizedTensor.cpp.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/Normalization.cpp.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/Pooling.cpp.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/ReduceOps.cpp.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/RuyUtils.cpp.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/Sorting.cpp.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/TensorOperators.cpp.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/TensorShape.cpp.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/UpSampleBilinear2d.cpp.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/UpSampleNearest2d.cpp.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/UpSampleNearest3d.cpp.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/XnnpackUtils.cpp.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/fbgemm_utils.cpp.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/fused_obs_fake_quant.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorImpl.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/build/aten/src/ATen/core/TensorBody.h:20, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/core/Tensor.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/Sorting.cpp:2: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h: In function ‘c10::DispatchKey c10::computeDispatchKey(optional, optional, optional)’: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:666:5: warning: this statement may fall through [-Wimplicit-fallthrough=] 666 | } | ^ /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:667:5: note: here 667 | case Layout::Sparse: | ^~~~ [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/init_qnnpack.cpp.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/qclamp.cpp.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/qconv.cpp.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/qconv_dynamic.cpp.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/qconv_prepack.cpp.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/qconv_unpack_impl.cpp.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/qdropout.cpp.o Compiling onerank_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/onerank_reduce.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/qelu.cpp.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/qembeddingbag.cpp.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/qembeddingbag_prepack.cpp.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/qembeddingbag_unpack.cpp.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/qgelu.cpp.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/qhardsigmoid.cpp.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/qhardswish.cpp.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/qlinear.cpp.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/qlinear_dynamic.cpp.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/qlinear_prepack.cpp.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/qmatmul.cpp.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/qmul.cpp.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/qnormalization.cpp.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/qrelu.cpp.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/qsigmoid.cpp.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/qsoftmax.cpp.o Compiling functions.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/functions.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/qtanh.cpp.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/qthreshold.cpp.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/library.cpp.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/qconv_unpack.cpp.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/qlinear_unpack.cpp.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/mkl/LinearAlgebra.cpp.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_bf16.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/mkl/SparseBlasImpl.cpp.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/mkl/SparseCsrLinearAlgebra.cpp.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/mkl/SpectralOps.cpp.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/mkldnn/BinaryOps.cpp.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/mkldnn/Conv.cpp.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/mkldnn/ConvPrepack.cpp.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/mkldnn/Copy.cpp.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/mkldnn/Gelu.cpp.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/mkldnn/IDeepRegistration.cpp.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/mkldnn/Linear.cpp.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/mkldnn/MKLDNNCommon.cpp.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_f64.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/mkldnn/MKLDNNConversions.cpp.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/mkldnn/Matmul.cpp.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/mkldnn/MkldnnTensorMath.cpp.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/mkldnn/Normalization.cpp.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/mkldnn/OpContext.cpp.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/mkldnn/Pooling.cpp.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/mkldnn/Prelu.cpp.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/mkldnn/RNN.cpp.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/mkldnn/RegisterMkldnnOpContextClass.cpp.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/mkldnn/Relu.cpp.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_f32.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/mkldnn/SoftMax.cpp.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/mkldnn/TensorFactories.cpp.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/mkldnn/TensorShape.cpp.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/mkldnn/UnaryOps.cpp.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/mkldnn/Utils.cpp.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/transformers/attention.cpp.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_max_f32.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/transformers/transformer.cpp.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/utils/Factory.cpp.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/xnnpack/Activation.cpp.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/xnnpack/AveragePooling.cpp.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/xnnpack/ChannelShuffle.cpp.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/xnnpack/Convolution.cpp.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/xnnpack/Init.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorImpl.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/build/aten/src/ATen/core/TensorBody.h:20, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/core/ivalue.h:4, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/core/List_inl.h:4, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/core/List.h:494, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/mkldnn/Utils.h:4, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/mkldnn/Utils.cpp:2: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h: In function ‘c10::DispatchKey c10::computeDispatchKey(optional, optional, optional)’: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:666:5: warning: this statement may fall through [-Wimplicit-fallthrough=] 666 | } | ^ /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:667:5: note: here 667 | case Layout::Sparse: | ^~~~ [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/xnnpack/Linear.cpp.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/xnnpack/MaxPooling.cpp.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/xnnpack/OpContext.cpp.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/xnnpack/RegisterOpContextClass.cpp.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/xnnpack/Shim.cpp.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/CompositeViewCopyKernels.cpp.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/Functions.cpp.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/Operators_0.cpp.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/Operators_1.cpp.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/Operators_2.cpp.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/Operators_3.cpp.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/Operators_4.cpp.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/RegisterBackendSelect.cpp.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/RegisterCPU.cpp.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/RegisterCompositeExplicitAutograd.cpp.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/RegisterCompositeImplicitAutograd.cpp.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/RegisterCompositeImplicitAutogradNestedTensor.cpp.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/RegisterFunctionalization_0.cpp.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/RegisterFunctionalization_1.cpp.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/RegisterFunctionalization_2.cpp.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/RegisterFunctionalization_3.cpp.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_max_f16.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/RegisterMeta.cpp.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/RegisterMkldnnCPU.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorImpl.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/build/aten/src/ATen/core/TensorBody.h:20, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/core/Tensor.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/build/aten/src/ATen/RegisterBackendSelect.cpp:7: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h: In function ‘c10::DispatchKey c10::computeDispatchKey(optional, optional, optional)’: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:666:5: warning: this statement may fall through [-Wimplicit-fallthrough=] 666 | } | ^ /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:667:5: note: here 667 | case Layout::Sparse: | ^~~~ [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/RegisterNestedTensorCPU.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorImpl.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/c10/core/GeneratorImpl.h:8, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/core/Generator.h:22, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/CPUGeneratorImpl.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/Context.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/build/aten/src/ATen/Functions.h:59, from /builddir/build/BUILD/pytorch-v2.0.1/build/aten/src/ATen/Functions.cpp:3: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h: In function ‘c10::DispatchKey c10::computeDispatchKey(optional, optional, optional)’: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:666:5: warning: this statement may fall through [-Wimplicit-fallthrough=] 666 | } | ^ /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:667:5: note: here 667 | case Layout::Sparse: | ^~~~ [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/RegisterNestedTensorMeta.cpp.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/RegisterQuantizedCPU.cpp.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/RegisterQuantizedMeta.cpp.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/RegisterSchema.cpp.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/RegisterSparseCPU.cpp.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/RegisterSparseCsrCPU.cpp.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/RegisterSparseMeta.cpp.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/RegisterZeroTensor.cpp.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_max_u64.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/UfuncCPU_add.cpp.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/ATenOpList.cpp.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/TensorMethods.cpp.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/quantized/QTensorImpl.cpp.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/quantized/Quantizer.cpp.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/nnapi/nnapi_bind.cpp.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/nnapi/nnapi_model_loader.cpp.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/nnapi/nnapi_register.cpp.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/nnapi/nnapi_wrapper.cpp.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/UfuncCPUKernel_add.cpp.DEFAULT.cpp.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/kernels/QuantizedOpKernels.cpp.DEFAULT.cpp.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/spherical_bessel_j0.cpp.DEFAULT.cpp.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/scaled_modified_bessel_k1.cpp.DEFAULT.cpp.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_premulsum_f16.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/scaled_modified_bessel_k0.cpp.DEFAULT.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorImpl.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/c10/core/GeneratorImpl.h:8, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/core/Generator.h:22, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/CPUGeneratorImpl.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/Context.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/ATen.h:7, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/quantized/Quantizer.cpp:2: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h: In function ‘c10::DispatchKey c10::computeDispatchKey(optional, optional, optional)’: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:666:5: warning: this statement may fall through [-Wimplicit-fallthrough=] 666 | } | ^ /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:667:5: note: here 667 | case Layout::Sparse: | ^~~~ [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/layer_norm_kernel.cpp.DEFAULT.cpp.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/group_norm_kernel.cpp.DEFAULT.cpp.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/batch_norm_kernel.cpp.DEFAULT.cpp.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/airy_ai.cpp.DEFAULT.cpp.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/WeightNormKernel.cpp.DEFAULT.cpp.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_premulsum_u64.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/UpSampleMoreKernel.cpp.DEFAULT.cpp.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/UpSampleKernel.cpp.DEFAULT.cpp.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/UnfoldBackwardKernel.cpp.DEFAULT.cpp.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/Unfold2d.cpp.DEFAULT.cpp.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_premulsum_i64.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/TensorCompareKernel.cpp.DEFAULT.cpp.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/SumKernel.cpp.DEFAULT.cpp.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_premulsum_u32.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/StackKernel.cpp.DEFAULT.cpp.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/SpmmReduceKernel.cpp.DEFAULT.cpp.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/SparseFactories.cpp.DEFAULT.cpp.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_premulsum_i32.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/SortingKernel.cpp.DEFAULT.cpp.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/SoftMaxKernel.cpp.DEFAULT.cpp.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/ScatterGatherKernel.cpp.DEFAULT.cpp.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/SampledAddmmKernel.cpp.DEFAULT.cpp.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/RenormKernel.cpp.DEFAULT.cpp.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/ReduceOpsKernel.cpp.DEFAULT.cpp.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_premulsum_u8.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/ReduceAllOpsKernel.cpp.DEFAULT.cpp.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/RangeFactoriesKernel.cpp.DEFAULT.cpp.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/PowKernel.cpp.DEFAULT.cpp.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_premulsum_i8.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/PointwiseOpsKernel.cpp.DEFAULT.cpp.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/PixelShuffleKernel.cpp.DEFAULT.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/build/aten/src/ATen/RegisterSchema.cpp:3: /builddir/build/BUILD/pytorch-v2.0.1/build/aten/src/ATen/RegisterSchema.cpp: In function ‘void at::TORCH_LIBRARY_init_aten(torch::Library&)’: /builddir/build/BUILD/pytorch-v2.0.1/torch/library.h:891:8: note: variable tracking size limit exceeded with ‘-fvar-tracking-assignments’, retrying without 891 | void TORCH_LIBRARY_init_##ns(torch::Library& m) | ^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/build/aten/src/ATen/RegisterSchema.cpp:6:1: note: in expansion of macro ‘TORCH_LIBRARY’ 6 | TORCH_LIBRARY(aten, m) { | ^~~~~~~~~~~~~ [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/MultinomialKernel.cpp.DEFAULT.cpp.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/MaxUnpoolKernel.cpp.DEFAULT.cpp.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_max_bf16.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/MaxPooling.cpp.DEFAULT.cpp.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/MaxPoolKernel.cpp.DEFAULT.cpp.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/LinearAlgebraKernel.cpp.DEFAULT.cpp.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/LerpKernel.cpp.DEFAULT.cpp.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/IndexKernel.cpp.DEFAULT.cpp.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_max_f64.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/HistogramKernel.cpp.DEFAULT.cpp.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/GridSamplerKernel.cpp.DEFAULT.cpp.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/FunctionOfAMatrixUtilsKernel.cpp.DEFAULT.cpp.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/FillKernel.cpp.DEFAULT.cpp.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/DistributionKernels.cpp.DEFAULT.cpp.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/DistanceOpsKernel.cpp.DEFAULT.cpp.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/DepthwiseConvKernel.cpp.DEFAULT.cpp.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/CrossKernel.cpp.DEFAULT.cpp.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/CopyKernel.cpp.DEFAULT.cpp.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/ComplexKernel.cpp.DEFAULT.cpp.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/ChannelShuffleKernel.cpp.DEFAULT.cpp.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/CatKernel.cpp.DEFAULT.cpp.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/BlasKernel.cpp.DEFAULT.cpp.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.DEFAULT.cpp.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/AvgPoolKernel.cpp.DEFAULT.cpp.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_max_f32.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/AdaptiveMaxPoolKernel.cpp.DEFAULT.cpp.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/AdaptiveAvgPoolKernel.cpp.DEFAULT.cpp.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/Activation.cpp.DEFAULT.cpp.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/vulkan/Context.cpp.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/metal/Context.cpp.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/core/common.cc.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_max_f16.o [ 80%] Building C object caffe2/CMakeFiles/torch_cpu.dir/__/third_party/miniz-2.1.0/miniz.c.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/serialize/inline_container.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/miniz-2.1.0/miniz.c:3157:9: note: ‘#pragma message: Using fopen, ftello, fseeko, stat() etc. path for file I/O - this path may not support large files.’ 3157 | #pragma message("Using fopen, ftello, fseeko, stat() etc. path for file I/O - this path may not support large files.") | ^~~~~~~ [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/serialize/istream_adapter.cc.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/serialize/file_adapter.cc.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/serialize/crc.cc.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/serialize/read_adapter_interface.cc.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/utils/string_utils.cc.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/utils/threadpool/ThreadPool.cc.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/utils/threadpool/pthreadpool-cpp.cc.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/utils/threadpool/thread_pool_guard.cpp.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/utils/proto_wrap.cc.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/codegen/onednn/LlgaTensorImpl.cpp.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/codegen/onednn/graph_fuser.cpp.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/codegen/onednn/graph_rewriter.cpp.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/codegen/onednn/graph_helper.cpp.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/codegen/onednn/register_interface.cpp.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/codegen/onednn/decompose_silu.cpp.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/codegen/onednn/interface.cpp.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/codegen/onednn/kernel.cpp.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/codegen/onednn/defer_size_check.cpp.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/codegen/onednn/layout_propagation.cpp.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/codegen/onednn/prepare_binary.cpp.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/codegen/onednn/guard_shape.cpp.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/generated/Functions.cpp.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/generated/VariableType_0.cpp.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/generated/VariableType_1.cpp.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/generated/VariableType_2.cpp.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_max_u64.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/generated/VariableType_3.cpp.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/generated/VariableType_4.cpp.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/generated/TraceType_0.cpp.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/generated/TraceType_1.cpp.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/generated/TraceType_2.cpp.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/generated/TraceType_3.cpp.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_max_i64.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/generated/TraceType_4.cpp.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/generated/ADInplaceOrViewType_0.cpp.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/generated/ADInplaceOrViewType_1.cpp.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/generated/LazyNativeFunctions.cpp.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/generated/RegisterAutogradLazy.cpp.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_max_u32.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/generated/RegisterLazy.cpp.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/anomaly_mode.cpp.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/autograd.cpp.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/autograd_meta.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/jit/codegen/onednn/interface.cpp: In function ‘torch::jit::Operation torch::jit::createLlgaKernel(const Node*)’: /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/jit/codegen/onednn/interface.cpp:102:10: warning: ‘torch::jit::Operation::Operation(F&&) [with F = torch::jit::createLlgaKernel(const Node*)::; typename std::enable_if*)>, F&&>::value, int>::type = 0]’ is deprecated: Please use void(Stack&) to register operator instead. [-Wdeprecated-declarations] 102 | return [kernel](Stack* stack) { | ^~~~~~~~~~~~~~~~~~~~~~~~ 103 | RECORD_FUNCTION(kernel->debugName(), std::vector()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 104 | kernel->run(*stack); | ~~~~~~~~~~~~~~~~~~~~ 105 | return 0; | ~~~~~~~~~ 106 | }; | ~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/core/boxing/KernelFunction.h:5, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/core/dispatch/Dispatcher.h:4, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/jit/runtime/operator.h:6, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/jit/ir/ir.h:7, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/jit/codegen/onednn/decompose_silu.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/jit/codegen/onednn/interface.cpp:2: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/core/stack.h:25:3: note: declared here 25 | Operation(F&& raw): op_([raw = std::forward(raw)](Stack& stack) { | ^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/jit/codegen/onednn/interface.cpp: In function ‘torch::jit::Operation torch::jit::createLlgaGuardKernel(const Node*)’: /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/jit/codegen/onednn/interface.cpp:121:10: warning: ‘torch::jit::Operation::Operation(F&&) [with F = torch::jit::createLlgaGuardKernel(const Node*)::; typename std::enable_if*)>, F&&>::value, int>::type = 0]’ is deprecated: Please use void(Stack&) to register operator instead. [-Wdeprecated-declarations] 121 | return [node](Stack* stack) { | ^~~~~~~~~~~~~~~~~~~~~~ 122 | #ifdef GRAPH_DEBUG_ENABLED | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 123 | GRAPH_DEBUG("Guarding node: ", node->kind().toQualString()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 124 | #endif | ~~~~~~ 125 | std::vector types = node->tys(attr::types); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 126 | const auto num_inputs = types.size(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 127 | #ifdef GRAPH_DEBUG_ENABLED | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 128 | GRAPH_DEBUG("num_inputs to guard: ", num_inputs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 129 | #endif | ~~~~~~ 130 | for (size_t i = 0; i < num_inputs; i++) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 131 | #ifdef GRAPH_DEBUG_ENABLED | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 132 | GRAPH_DEBUG("checking input ", i); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 133 | #endif | ~~~~~~ 134 | auto& input = peek(stack, i, num_inputs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 135 | const c10::TensorTypePtr& guard_tensor_type = | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 136 | types[i]->cast(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 137 | | 138 | if (!input.isTensor()) { | ~~~~~~~~~~~~~~~~~~~~~~~~ 139 | #ifdef GRAPH_DEBUG_ENABLED | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 140 | GRAPH_DEBUG("input ", i, " is not a tensor, return false"); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 141 | #endif | ~~~~~~ 142 | push(stack, IValue(false)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 143 | return; | ~~~~~~~ 144 | } | ~ 145 | const at::Tensor& tensor = input.toTensor(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 146 | | 147 | // If input tensor is of mkldnn, it's originated from an upstream | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 148 | // LLGA partition that has passed the check on input shapes. | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 149 | // It is valid to continue here as long as the output shapes from | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 150 | // oneDNN graph partitions are determined by the input shapes. | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 151 | if (tensor.is_mkldnn()) { | ~~~~~~~~~~~~~~~~~~~~~~~~~ 152 | #ifdef GRAPH_DEBUG_ENABLED | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 153 | GRAPH_DEBUG("input ", i, " is_mkldnn, continue"); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 154 | #endif | ~~~~~~ 155 | continue; | ~~~~~~~~~ 156 | } | ~ 157 | | 158 | if (!guard_tensor_type->matchTensor(tensor)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 159 | #ifdef GRAPH_DEBUG_ENABLED | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | GRAPH_DEBUG("input ", i, " check failed, return false"); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | #endif | ~~~~~~ 162 | push(stack, IValue(false)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 163 | return; | ~~~~~~~ 164 | } | ~ 165 | } | ~ 166 | #ifdef GRAPH_DEBUG_ENABLED | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 167 | GRAPH_DEBUG("all check done, return true"); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 168 | #endif | ~~~~~~ 169 | push(stack, IValue(true)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 170 | return; | ~~~~~~~ 171 | }; | ~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/core/stack.h:25:3: note: declared here 25 | Operation(F&& raw): op_([raw = std::forward(raw)](Stack& stack) { | ^~~~~~~~~ [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/autograd_not_implemented_fallback.cpp.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/cpp_hook.cpp.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_max_i32.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/custom_function.cpp.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/engine.cpp.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/forward_grad.cpp.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/function.cpp.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/functions/accumulate_grad.cpp.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/functions/basic_ops.cpp.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/functions/tensor.cpp.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/functions/utils.cpp.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/input_buffer.cpp.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/jit_decomp_interface.cpp.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_max_u8.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/profiler_kineto.cpp.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/profiler_legacy.cpp.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/record_function_ops.cpp.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/saved_variable.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorImpl.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/build/aten/src/ATen/core/TensorBody.h:20, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/core/Tensor.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/Tensor.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/function_hook.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/cpp_hook.h:2, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/variable.h:6, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/autograd.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/custom_function.cpp:2: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h: In function ‘c10::DispatchKey c10::computeDispatchKey(optional, optional, optional)’: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:666:5: warning: this statement may fall through [-Wimplicit-fallthrough=] 666 | } | ^ /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:667:5: note: here 667 | case Layout::Sparse: | ^~~~ [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/utils/warnings.cpp.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/variable.cpp.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/api/function_impl.cpp.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/api/module.cpp.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_max_i8.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/api/object.cpp.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/backends/backend_debug_handler.cpp.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/backends/backend_debug_info.cpp.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/backends/backend_detail.cpp.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/backends/backend_interface.cpp.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/backends/backend_resolver.cpp.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/codegen/fuser/codegen.cpp.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/codegen/fuser/compiler.cpp.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_min_bf16.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/codegen/fuser/executor.cpp.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/codegen/fuser/fallback.cpp.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/codegen/fuser/interface.cpp.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/codegen/fuser/kernel_cache.cpp.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/frontend/builtin_functions.cpp.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/frontend/canonicalize_modified_loop.cpp.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/frontend/convert_to_ssa.cpp.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/frontend/edit_distance.cpp.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/frontend/exit_transforms.cpp.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/frontend/inline_loop_condition.cpp.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/frontend/ir_emitter.cpp.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/frontend/name_mangler.cpp.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/frontend/parser.cpp.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_min_f64.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/frontend/schema_matching.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/lazy/backend/backend_data.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/lazy/core/tensor.h:5, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/lazy/generated/LazyNativeFunctions.cpp:2: /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/lazy/backend/backend_device.h: In function ‘c10::optional torch::lazy::GetBackendDevice(const T&, const Args& ...) [with T = c10::optional; Args = {}]’: /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/lazy/backend/backend_device.h:89:30: warning: infinite recursion detected [-Winfinite-recursion] 89 | c10::optional GetBackendDevice( | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/lazy/backend/backend_device.h:92:8: note: recursive call 92 | auto optional_device = GetBackendDevice(tensor); | ^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/lazy/backend/backend_device.h: In function ‘c10::optional torch::lazy::GetBackendDevice(const T&, const Args& ...) [with T = c10::optional; Args = {}]’: /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/lazy/backend/backend_device.h:89:30: warning: infinite recursion detected [-Winfinite-recursion] 89 | c10::optional GetBackendDevice( | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/lazy/backend/backend_device.h:92:8: note: recursive call 92 | auto optional_device = GetBackendDevice(tensor); | ^~~~~~~~~~~~~~~ [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/frontend/script_type_parser.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/lazy/backend/backend_device.h: In function ‘c10::optional torch::lazy::GetBackendDevice(const T&, const Args& ...) [with T = c10::SymInt; Args = {}]’: /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/lazy/backend/backend_device.h:89:30: warning: infinite recursion detected [-Winfinite-recursion] 89 | c10::optional GetBackendDevice( | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/lazy/backend/backend_device.h:92:8: note: recursive call 92 | auto optional_device = GetBackendDevice(tensor); | ^~~~~~~~~~~~~~~ [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/frontend/sugared_value.cpp.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/frontend/tracer.cpp.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/frontend/versioned_symbols.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorImpl.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/build/aten/src/ATen/core/TensorBody.h:20, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/core/Tensor.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/Tensor.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/function_hook.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/cpp_hook.h:2, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/variable.h:6, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/variable.cpp:1: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h: In function ‘c10::DispatchKey c10::computeDispatchKey(optional, optional, optional)’: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:666:5: warning: this statement may fall through [-Wimplicit-fallthrough=] 666 | } | ^ /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:667:5: note: here 667 | case Layout::Sparse: | ^~~~ [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/ir/alias_analysis.cpp.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/ir/attributes.cpp.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/ir/constants.cpp.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_min_f32.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/ir/graph_utils.cpp.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/ir/ir.cpp.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/ir/irparser.cpp.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/ir/node_hashing.cpp.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/ir/scope.cpp.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/ir/subgraph_matcher.cpp.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/ir/type_hashing.cpp.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/jit_log.cpp.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/jit_opt_limit.cpp.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_min_f16.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/mobile/compatibility/model_compatibility.cpp.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/mobile/compatibility/runtime_compatibility.cpp.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/mobile/flatbuffer_loader.cpp.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/mobile/function.cpp.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/mobile/import.cpp.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/mobile/interpreter.cpp.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/mobile/module.cpp.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/mobile/nnc/aot_compiler.cpp.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/mobile/nnc/backend.cpp.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/mobile/nnc/context.cpp.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/mobile/nnc/registry.cpp.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_min_u64.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/mobile/observer.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorImpl.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/build/aten/src/ATen/core/TensorBody.h:20, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/core/Tensor.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/jit/ir/attributes.h:2, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/jit/ir/ir.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/jit/ir/node_hashing.cpp:1: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h: In function ‘c10::DispatchKey c10::computeDispatchKey(optional, optional, optional)’: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:666:5: warning: this statement may fall through [-Wimplicit-fallthrough=] 666 | } | ^ /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:667:5: note: here 667 | case Layout::Sparse: | ^~~~ [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/mobile/parse_bytecode.cpp.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/mobile/parse_operators.cpp.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/mobile/prim_ops_registery.cpp.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/mobile/promoted_prim_ops.cpp.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/mobile/quantization.cpp.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/mobile/register_ops_common_utils.cpp.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/mobile/type_parser.cpp.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/mobile/upgrader_mobile.cpp.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/operator_upgraders/upgraders.cpp.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/operator_upgraders/upgraders_entry.cpp.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/operator_upgraders/utils.cpp.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/operator_upgraders/version_map.cpp.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/add_if_then_else.cpp.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/annotate_warns.cpp.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/bailout_graph.cpp.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/batch_mm.cpp.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_min_i64.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/canonicalize.cpp.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/canonicalize_graph_fuser_ops.cpp.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/check_strict_fusion.cpp.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/clear_profiling.cpp.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/clear_undefinedness.cpp.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/common_subexpression_elimination.cpp.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/concat_opt.cpp.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/constant_pooling.cpp.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/constant_propagation.cpp.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/create_autodiff_subgraphs.cpp.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/create_functional_graphs.cpp.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/cuda_graph_fuser.cpp.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/dbr_quantization/remove_redundant_aliases.cpp.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/dead_code_elimination.cpp.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/decompose_ops.cpp.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/device_type_analysis.cpp.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_min_u32.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/dtype_analysis.cpp.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/eliminate_no_ops.cpp.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/erase_number_types.cpp.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/fixup_trace_scope_blocks.cpp.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/fold_conv_bn.cpp.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/fold_linear_bn.cpp.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/freeze_module.cpp.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/frozen_concat_linear.cpp.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/frozen_conv_add_relu_fusion.cpp.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/frozen_conv_folding.cpp.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/frozen_graph_optimizations.cpp.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/frozen_linear_folding.cpp.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_min_i32.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/frozen_linear_transpose.cpp.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/frozen_ops_to_mkldnn.cpp.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/fuse_linear.cpp.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/fuse_relu.cpp.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/graph_fuser.cpp.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/graph_rewrite_helper.cpp.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/guard_elimination.cpp.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/hoist_conv_packed_params.cpp.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/inline_autodiff_subgraphs.cpp.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/inline_fork_wait.cpp.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/inline_forked_closures.cpp.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/inliner.cpp.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_min_u8.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/inplace_check.cpp.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/insert_guards.cpp.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/integer_value_refinement.cpp.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/lift_closures.cpp.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/liveness.cpp.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/loop_unrolling.cpp.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/lower_grad_of.cpp.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/lower_tuples.cpp.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/metal_rewrite.cpp.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/mkldnn_rewrite.cpp.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/normalize_ops.cpp.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/pass_manager.cpp.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/peephole.cpp.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_min_i8.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/peephole_alias_sensitive.cpp.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/peephole_dict_idioms.cpp.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/peephole_list_idioms.cpp.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/peephole_non_tensor.cpp.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/prepack_folding.cpp.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/quantization/dedup_module_uses.cpp.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/quantization/finalize.cpp.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/quantization/fusion_passes.cpp.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/quantization/helper.cpp.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/quantization/insert_observers.cpp.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/quantization/insert_quant_dequant.cpp.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/quantization/quantization_type.cpp.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/quantization/register_packed_params.cpp.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/refine_tuple_types.cpp.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/remove_dropout.cpp.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_prod_bf16.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/remove_exceptions.cpp.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/remove_expands.cpp.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/remove_mutation.cpp.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/remove_redundant_profiles.cpp.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/replacement_of_old_operators.cpp.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/requires_grad_analysis.cpp.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/restore_mutation.cpp.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/shape_analysis.cpp.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/specialize_autogradzero.cpp.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/subgraph_rewrite.cpp.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/symbolic_shape_analysis.cpp.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/symbolic_shape_cache.cpp.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/symbolic_shape_runtime_fusion.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorImpl.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/c10/core/GeneratorImpl.h:8, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/core/Generator.h:22, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/CPUGeneratorImpl.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/Context.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/ATen.h:7, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/jit/passes/frozen_ops_to_mkldnn.cpp:1: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h: In function ‘c10::DispatchKey c10::computeDispatchKey(optional, optional, optional)’: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:666:5: warning: this statement may fall through [-Wimplicit-fallthrough=] 666 | } | ^ /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:667:5: note: here 667 | case Layout::Sparse: | ^~~~ [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/tensorexpr_fuser.cpp.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/update_differentiable_graph_requires_grad.cpp.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/utils/memory_dag.cpp.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/utils/op_registry.cpp.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_prod_f64.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/utils/optimization_utils.cpp.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/utils/subgraph_utils.cpp.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/value_refinement_utils.cpp.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/variadic_ops.cpp.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/vulkan_rewrite.cpp.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/xnnpack_rewrite.cpp.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/python/update_graph_executor_opt.cpp.o [ 84%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/runtime/argument_spec.cpp.o [ 84%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/runtime/autodiff.cpp.o [ 84%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/runtime/decomposition_registry.cpp.o [ 84%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/runtime/decomposition_registry_util.cpp.o [ 84%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/runtime/graph_executor.cpp.o [ 84%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/runtime/instruction.cpp.o [ 84%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/runtime/interpreter.cpp.o [ 84%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/runtime/interpreter/frame.cpp.o [ 84%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/runtime/interpreter/preprocess_graph.cpp.o [ 84%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/runtime/jit_exception.cpp.o [ 84%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/runtime/jit_trace.cpp.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_prod_f32.o [ 84%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/runtime/logging.cpp.o [ 84%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/runtime/operator.cpp.o [ 84%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/runtime/print_handler.cpp.o [ 84%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/runtime/profiling_graph_executor_impl.cpp.o [ 84%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/runtime/profiling_record.cpp.o [ 84%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/runtime/register_ops_utils.cpp.o [ 84%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/runtime/script_profile.cpp.o [ 84%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/runtime/serialized_shape_function_registry.cpp.o [ 84%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/runtime/simple_graph_executor_impl.cpp.o [ 84%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/runtime/slice_indices_adjust.cpp.o [ 84%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/runtime/static/fusion.cpp.o [ 84%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/runtime/static/generated_ops.cpp.o [ 84%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/runtime/static/impl.cpp.o [ 84%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/runtime/static/memory_planner.cpp.o [ 84%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/runtime/static/native_ops.cpp.o [ 84%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/runtime/static/ops.cpp.o [ 84%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/runtime/static/passes.cpp.o [ 84%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/runtime/static/te_wrapper.cpp.o [ 84%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/runtime/symbolic_script.cpp.o [ 84%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/runtime/symbolic_shape_registry.cpp.o [ 84%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/runtime/symbolic_shape_registry_util.cpp.o [ 84%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/runtime/vararg_functions.cpp.o [ 84%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/serialization/callstack_debug_info_serialization.cpp.o [ 84%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/serialization/import.cpp.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_prod_f16.o [ 84%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/serialization/import_export_helpers.cpp.o [ 84%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/serialization/import_read.cpp.o [ 84%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/serialization/import_source.cpp.o [ 84%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/serialization/pickle.cpp.o [ 84%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/serialization/pickler.cpp.o [ 84%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/serialization/python_print.cpp.o [ 84%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/serialization/source_range_serialization.cpp.o [ 84%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/serialization/type_name_uniquer.cpp.o [ 84%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/serialization/unpickler.cpp.o [ 84%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/block_codegen.cpp.o [ 84%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/bounds_inference.cpp.o [ 84%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/bounds_overlap.cpp.o [ 84%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/codegen.cpp.o [ 84%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/cpp_codegen.cpp.o [ 84%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/eval.cpp.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_prod_u64.o [ 84%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/expr.cpp.o [ 84%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/external_functions.cpp.o [ 84%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/external_functions_codegen.cpp.o [ 84%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/external_functions_core.cpp.o [ 84%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/external_functions_registry.cpp.o [ 84%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/graph_opt.cpp.o [ 84%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/hash_provider.cpp.o [ 84%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/intrinsic_symbols.cpp.o [ 84%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/ir.cpp.o [ 84%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/ir_cloner.cpp.o [ 84%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/ir_mutator.cpp.o [ 84%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/ir_printer.cpp.o [ 84%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/ir_simplifier.cpp.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_prod_i64.o [ 84%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/ir_verifier.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorImpl.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/build/aten/src/ATen/core/TensorBody.h:20, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/core/Tensor.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/Tensor.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/function_hook.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/cpp_hook.h:2, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/variable.h:6, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/jit/api/module.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/jit/serialization/python_print.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/jit/serialization/python_print.cpp:1: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h: In function ‘c10::DispatchKey c10::computeDispatchKey(optional, optional, optional)’: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:666:5: warning: this statement may fall through [-Wimplicit-fallthrough=] 666 | } | ^ /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:667:5: note: here 667 | case Layout::Sparse: | ^~~~ [ 84%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/ir_visitor.cpp.o [ 84%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/kernel.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/llvm_codegen.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/llvm_jit.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/loopnest.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/loopnest_randomization.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/lowerings.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/mem_dependency_checker.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/operators/conv2d.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/operators/matmul.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/operators/misc.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/operators/norm.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/operators/pointwise.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/operators/quantization.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/operators/reduction.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/operators/softmax.cpp.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_prod_u32.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/reduction.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/registerizer.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/tensor.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/types.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/unique_name_manager.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/testing/file_check.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/testing/hooks_for_testing.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/backend/backend_device.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/backend/backend_interface.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/backend/lowering_context.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/core/config.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/core/debug_util.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/core/hash.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/core/helpers.cpp.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_prod_i32.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/core/ir.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/core/ir_dump_util.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/core/ir_metadata.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/core/ir_util.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorImpl.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/c10/core/GeneratorImpl.h:8, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/core/Generator.h:22, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/CPUGeneratorImpl.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/Context.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/ATen.h:7, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/jit/serialization/unpickler.cpp:1: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h: In function ‘c10::DispatchKey c10::computeDispatchKey(optional, optional, optional)’: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:666:5: warning: this statement may fall through [-Wimplicit-fallthrough=] 666 | } | ^ /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:667:5: note: here 667 | case Layout::Sparse: | ^~~~ [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/core/lazy_graph_executor.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/core/metrics.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/core/multi_wait.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/core/ops/arithmetic_ir_ops.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/core/ops/utils.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/core/permutation_util.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/core/shape.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/core/shape_inference.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/core/tensor.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/core/tensor_impl.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/core/tensor_util.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/core/thread_pool.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/core/trie.cpp.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_prod_u8.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/monitor/counters.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/monitor/events.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/profiler/collection.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/profiler/data_flow.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/profiler/kineto_client_interface.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/profiler/kineto_shim.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/profiler/orchestration/observer.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/profiler/orchestration/python_tracer.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/profiler/orchestration/vulkan.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/profiler/perf.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/profiler/standalone/execution_graph_observer.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/profiler/standalone/itt_observer.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/profiler/standalone/nvtx_observer.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/profiler/stubs/base.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/profiler/util.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/utils/cpp_stacktraces.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/utils/schema_info.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/utils/tensor_flatten.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/utils/variadic.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/codegen/cuda/interface.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/autocast.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/lower_graph.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/remove_inplace_ops.cpp.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_prod_i8.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/utils/check_alias_annotation.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/runtime/register_c10_ops.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/runtime/register_prim_ops.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/runtime/register_prim_ops_fulljit.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/runtime/register_special_ops.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/mobile/debug_info.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/ts_backend/dynamic_ir.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/ts_backend/config.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/ts_backend/ops/device_data.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/ts_backend/ops/random_ops.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/ts_backend/ops/generic.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/ts_backend/tensor_aten_ops.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/ts_backend/ts_autograd_functions.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/ts_backend/ts_backend_impl.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/ts_backend/ts_eager_fallback.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/ts_backend/ts_lowering_context.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/ts_backend/ts_native_functions.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/ts_backend/ts_node.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/ts_backend/ts_node_lowering.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/mobile/import_data.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/mobile/train/export_data.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/mobile/train/optim/sgd.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/mobile/train/random.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/mobile/train/sequential.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/serialization/flatbuffer_serializer.cpp.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sum_bf16.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/FunctionsManual.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/utils/out_types.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/TraceTypeManual.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/VariableTypeManual.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/itt_wrapper.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/profiler/stubs/itt.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/jit.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/mobile/compatibility/backport.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/mobile/compatibility/backport_manager.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/serialization/onnx.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/serialization/export.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/serialization/export_bytecode.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/serialization/export_module.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/codegen/fuser/cpu/fused_kernel.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/api/module_save.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/utils/byte_order.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/c10d/Backend.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/c10d/FileStore.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/c10d/GlooDeviceFactory.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorImpl.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/c10/core/GeneratorImpl.h:8, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/core/Generator.h:22, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/CPUGeneratorImpl.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/Context.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/ATen.h:7, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/utils/tensor_flatten.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/utils/tensor_flatten.cpp:1: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h: In function ‘c10::DispatchKey c10::computeDispatchKey(optional, optional, optional)’: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:666:5: warning: this statement may fall through [-Wimplicit-fallthrough=] 666 | } | ^ /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:667:5: note: here 667 | case Layout::Sparse: | ^~~~ [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/c10d/Ops.cpp.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sum_f64.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/c10d/ParamCommsUtils.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/c10d/PrefixStore.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/c10d/ProcessGroup.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/c10d/ProcessGroupGloo.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/c10d/ProcessGroupMPI.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/c10d/ProcessGroupWrapper.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/c10d/Store.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/c10d/TCPStore.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/c10d/Utils.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/c10d/comm.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/c10d/debug.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/c10d/default_comm_hooks.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/c10d/exception.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/c10d/logger.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/c10d/logging.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/c10d/quantization/quantization.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/c10d/sequence_num.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/c10d/reducer.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/c10d/socket.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/c10d/Work.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/autograd/autograd.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/autograd/utils.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/autograd/context/container.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/autograd/context/context.cpp.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sum_f32.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/autograd/engine/dist_engine.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/autograd/functions/recvrpc_backward.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/autograd/functions/sendrpc_backward.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/autograd/rpc_messages/autograd_metadata.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/autograd/rpc_messages/propagate_gradients_req.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/autograd/rpc_messages/propagate_gradients_resp.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/autograd/rpc_messages/cleanup_autograd_context_req.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/autograd/rpc_messages/cleanup_autograd_context_resp.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/autograd/rpc_messages/rpc_with_autograd.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/autograd/rpc_messages/rpc_with_profiling_req.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/autograd/rpc_messages/rpc_with_profiling_resp.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/autograd/rpc_messages/rref_backward_req.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/autograd/rpc_messages/rref_backward_resp.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/c10d/HashStore.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/c10d/ProcessGroupRoundRobin.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/rpc/agent_utils.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/rpc/message.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/rpc/profiler/remote_profiler_manager.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/rpc/profiler/server_process_global_profiler.cpp.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sum_f16.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/rpc/python_call.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/rpc/python_remote_call.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/rpc/python_resp.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/rpc/request_callback.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/rpc/request_callback_no_python.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/rpc/rpc_agent.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/rpc/rref_context.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/rpc/rref_impl.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/rpc/rref_proto.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/rpc/script_call.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/rpc/script_remote_call.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/rpc/script_resp.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/rpc/tensorpipe_agent.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorImpl.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/c10/core/GeneratorImpl.h:8, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/core/Generator.h:22, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/CPUGeneratorImpl.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/Context.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/ATen.h:7, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/distributed/c10d/Backend.hpp:11, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/distributed/c10d/ProcessGroupGloo.hpp:21, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/distributed/c10d/ProcessGroupGloo.cpp:2: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h: In function ‘c10::DispatchKey c10::computeDispatchKey(optional, optional, optional)’: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:666:5: warning: this statement may fall through [-Wimplicit-fallthrough=] 666 | } | ^ /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:667:5: note: here 667 | case Layout::Sparse: | ^~~~ [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/rpc/tensorpipe_utils.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/rpc/testing/faulty_tensorpipe_agent.cpp.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sum_u64.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/rpc/torchscript_functions.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/rpc/types.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/rpc/utils.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/cuda.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/data/datasets/mnist.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/data/samplers/distributed.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/data/samplers/random.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/data/samplers/sequential.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/data/samplers/stream.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/enum.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/imethod.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/serialize.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/nn/init.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/nn/module.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/nn/modules/_functions.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/nn/modules/activation.cpp.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sum_i64.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/nn/modules/adaptive.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/nn/modules/batchnorm.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/nn/modules/normalization.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/nn/modules/instancenorm.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/nn/modules/conv.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/nn/modules/dropout.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/nn/modules/distance.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/nn/modules/embedding.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/nn/modules/fold.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/nn/modules/linear.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/nn/modules/loss.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/nn/modules/padding.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/nn/modules/pixelshuffle.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/nn/modules/pooling.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/nn/modules/rnn.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorImpl.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/build/aten/src/ATen/core/TensorBody.h:20, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/core/Dict.h:10, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/core/ivalue_inl.h:8, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/distributed/c10d/reducer.hpp:10, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/distributed/c10d/reducer.cpp:1: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h: In function ‘c10::DispatchKey c10::computeDispatchKey(optional, optional, optional)’: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:666:5: warning: this statement may fall through [-Wimplicit-fallthrough=] 666 | } | ^ /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:667:5: note: here 667 | case Layout::Sparse: | ^~~~ [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/nn/modules/upsampling.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/nn/modules/transformer.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/nn/modules/container/functional.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/nn/options/activation.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/nn/options/adaptive.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/nn/options/batchnorm.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/nn/options/embedding.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/nn/options/instancenorm.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/nn/options/normalization.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/nn/options/conv.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/nn/options/dropout.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/nn/options/linear.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/nn/options/padding.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/nn/options/pooling.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/nn/options/rnn.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/nn/options/vision.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/nn/options/transformer.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/optim/adagrad.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/optim/adam.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/optim/adamw.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/optim/lbfgs.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/optim/optimizer.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/optim/rmsprop.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/optim/serialize.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/optim/sgd.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/optim/schedulers/lr_scheduler.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/optim/schedulers/step_lr.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/serialize/input-archive.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/serialize/output-archive.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/UfuncCPUKernel_add.cpp.AVX2.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/kernels/QuantizedOpKernels.cpp.AVX2.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/spherical_bessel_j0.cpp.AVX2.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/scaled_modified_bessel_k1.cpp.AVX2.cpp.o [ 88%] Building CXX object 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caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/SortingKernel.cpp.AVX2.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/SoftMaxKernel.cpp.AVX2.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/ScatterGatherKernel.cpp.AVX2.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/SampledAddmmKernel.cpp.AVX2.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/RenormKernel.cpp.AVX2.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/ReduceOpsKernel.cpp.AVX2.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/ReduceAllOpsKernel.cpp.AVX2.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/RangeFactoriesKernel.cpp.AVX2.cpp.o [ 88%] Building CXX object 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caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/scaled_modified_bessel_k0.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/layer_norm_kernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/group_norm_kernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/batch_norm_kernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/airy_ai.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/WeightNormKernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/UpSampleMoreKernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/UpSampleKernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/UnfoldBackwardKernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/Unfold2d.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/TensorCompareKernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/SumKernel.cpp.AVX512.cpp.o Archiving objects > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/colldevice.a [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/StackKernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/SpmmReduceKernel.cpp.AVX512.cpp.o [ 89%] Building CXX object 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caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/ReduceAllOpsKernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/RangeFactoriesKernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/PowKernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/PointwiseOpsKernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/PixelShuffleKernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/MultinomialKernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/MaxUnpoolKernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/MaxPooling.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/MaxPoolKernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/LinearAlgebraKernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/LerpKernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/IndexKernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/HistogramKernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/GridSamplerKernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/FunctionOfAMatrixUtilsKernel.cpp.AVX512.cpp.o Compiling graph/tuning.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/graph/tuning.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/DistributionKernels.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/FillKernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/DistanceOpsKernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/DepthwiseConvKernel.cpp.AVX512.cpp.o [ 90%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/CrossKernel.cpp.AVX512.cpp.o [ 90%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX512.cpp.o [ 90%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/ComplexKernel.cpp.AVX512.cpp.o [ 90%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/ChannelShuffleKernel.cpp.AVX512.cpp.o [ 90%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/CatKernel.cpp.AVX512.cpp.o [ 90%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/BlasKernel.cpp.AVX512.cpp.o [ 90%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX512.cpp.o Compiling graph/topo.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/graph/topo.o [ 90%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/AvgPoolKernel.cpp.AVX512.cpp.o [ 90%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/AdaptiveMaxPoolKernel.cpp.AVX512.cpp.o [ 90%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/AdaptiveAvgPoolKernel.cpp.AVX512.cpp.o [ 90%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/Activation.cpp.AVX512.cpp.o Compiling collectives/reduce_scatter.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/reduce_scatter.o Compiling collectives/reduce.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/reduce.o Compiling collectives/broadcast.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/broadcast.o Compiling collectives/all_gather.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/all_gather.o Compiling collectives/all_reduce.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/all_reduce.o Compiling collectives/sendrecv.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/sendrecv.o Compiling transport/net_socket.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/transport/net_socket.o Compiling transport/net.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/transport/net.o Compiling transport/p2p.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/transport/p2p.o Compiling transport.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/transport.o Linking libnccl.so.2.14.3 > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/lib/libnccl.so.2.14.3 Archiving libnccl_static.a > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/lib/libnccl_static.a [ 90%] No install step for 'nccl_external' [ 90%] Completed 'nccl_external' [ 90%] Built target nccl_external [ 90%] Building NVCC (Device) object third_party/gloo/gloo/CMakeFiles/gloo_cuda.dir/gloo_cuda_generated_cuda.cu.o [ 90%] Building NVCC (Device) object third_party/gloo/gloo/CMakeFiles/gloo_cuda.dir/nccl/gloo_cuda_generated_nccl.cu.o [ 90%] Building NVCC (Device) object third_party/gloo/gloo/CMakeFiles/gloo_cuda.dir/gloo_cuda_generated_cuda_private.cu.o [ 90%] Slimming NCCL /builddir/build/BUILD/pytorch-v2.0.1/build [ 90%] Built target nccl_slim_external [ 90%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo_cuda.dir/cuda_allreduce_local.cc.o [ 90%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo_cuda.dir/cuda_allreduce_halving_doubling.cc.o [ 90%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo_cuda.dir/cuda_broadcast_one_to_all.cc.o [ 90%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo_cuda.dir/cuda_allreduce_ring_chunked.cc.o [ 90%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo_cuda.dir/cuda_allreduce_ring.cc.o [ 90%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo_cuda.dir/cuda_allreduce_bcube.cc.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/transport/pair.h:13, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/context.h:15, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/algorithm.h:13, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.h:18, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h: In instantiation of ‘gloo::enforce_detail::EnforceFailMessage gloo::enforce_detail::Less(const T1&, const T2&) [with T1 = int; T2 = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:155:5: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:128:26: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const long unsigned int’ [-Wsign-compare] 128 | BINARY_COMP_HELPER(Less, <) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:119:11: note: in definition of macro ‘BINARY_COMP_HELPER’ 119 | if (x op y) { \ | ^~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = signed char; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:508:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:69:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 69 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:94:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 94 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::run() [with T = signed char; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:508:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:135:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 135 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::setupNodes() [with T = signed char; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:508:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:338:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 338 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = signed char; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:508:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:69:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 69 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:94:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 94 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::run() [with T = signed char; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:508:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:135:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 135 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::setupNodes() [with T = signed char; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:508:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:338:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 338 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = unsigned char; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:509:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:69:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 69 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:94:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 94 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::run() [with T = unsigned char; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:509:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:135:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 135 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::setupNodes() [with T = unsigned char; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:509:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:338:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 338 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = unsigned char; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:509:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:69:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 69 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:94:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 94 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::run() [with T = unsigned char; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:509:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:135:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 135 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::setupNodes() [with T = unsigned char; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:509:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:338:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 338 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/transport/pair.h:13, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/context.h:15, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/algorithm.h:13, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h: In instantiation of ‘gloo::enforce_detail::EnforceFailMessage gloo::enforce_detail::Less(const T1&, const T2&) [with T1 = int; T2 = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:155:5: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:128:26: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const long unsigned int’ [-Wsign-compare] 128 | BINARY_COMP_HELPER(Less, <) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:119:11: note: in definition of macro ‘BINARY_COMP_HELPER’ 119 | if (x op y) { \ | ^~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:510:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:69:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 69 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:94:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 94 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc: In instantiation of ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = signed char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:70:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:34:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 34 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::run() [with T = int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:510:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:135:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 135 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::setupNodes() [with T = int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:510:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:338:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 338 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:510:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:69:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 69 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:94:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 94 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc: In instantiation of ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = unsigned char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:71:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:34:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::run() [with T = int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:510:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:135:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 135 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::setupNodes() [with T = int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:510:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:338:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 338 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc: In instantiation of ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:72:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:34:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = long int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:511:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:69:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 69 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:94:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 94 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::run() [with T = long int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:511:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:135:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 135 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc: In instantiation of ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:73:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:34:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::setupNodes() [with T = long int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:511:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:338:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 338 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = long int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:511:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:69:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 69 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:94:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 94 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::run() [with T = long int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:511:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:135:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 135 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc: In instantiation of ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:74:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:34:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::setupNodes() [with T = long int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:511:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:338:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 338 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = long unsigned int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:512:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:69:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 69 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:94:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 94 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::run() [with T = long unsigned int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:512:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:135:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 135 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc: In instantiation of ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = float]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:75:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:34:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::setupNodes() [with T = long unsigned int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:512:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:338:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 338 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = long unsigned int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:512:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:69:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 69 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:94:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 94 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc: In instantiation of ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = double]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:76:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:34:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::run() [with T = long unsigned int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:512:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:135:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 135 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/transport/pair.h:13, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/context.h:15, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/algorithm.h:13, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.h:15, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h: In instantiation of ‘gloo::enforce_detail::EnforceFailMessage gloo::enforce_detail::Less(const T1&, const T2&) [with T1 = int; T2 = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:155:5: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:128:26: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const long unsigned int’ [-Wsign-compare] 128 | BINARY_COMP_HELPER(Less, <) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:119:11: note: in definition of macro ‘BINARY_COMP_HELPER’ 119 | if (x op y) { \ | ^~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::setupNodes() [with T = long unsigned int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:512:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:338:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 338 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc: In instantiation of ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = gloo::float16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:77:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:34:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = float; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:513:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:69:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 69 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:94:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 94 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::run() [with T = float; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:513:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:135:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 135 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = signed char; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:649:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:98:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 98 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:128:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 128 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:138:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 138 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:140:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 140 | if (sendOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:147:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 147 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:149:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 149 | if (recvOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::setupNodes() [with T = float; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:513:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:338:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 338 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:215:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 215 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = float; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:513:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:69:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 69 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:94:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 94 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::run() [with T = signed char; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:649:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:266:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 266 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:267:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 267 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:271:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 271 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:286:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 286 | if (i != stepsWithinBlock_ - 1) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::run() [with T = float; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:513:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:135:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 135 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:319:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 319 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:333:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 333 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:348:45: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 348 | if (recvOffsets_[stepsWithinBlock_ - 1] < count_) { In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/transport/pair.h:13, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/context.h:15, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/algorithm.h:13, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h: In instantiation of ‘gloo::enforce_detail::EnforceFailMessage gloo::enforce_detail::Less(const T1&, const T2&) [with T1 = int; T2 = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:155:5: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:128:26: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const long unsigned int’ [-Wsign-compare] 128 | BINARY_COMP_HELPER(Less, <) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:119:11: note: in definition of macro ‘BINARY_COMP_HELPER’ 119 | if (x op y) { \ | ^~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:362:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 362 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:367:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 367 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initBinaryBlocks() [with T = signed char; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:649:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:48:18: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘const int’ [-Wsign-compare] 48 | if (offset <= this->context_->rank) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::devicePointerInit() [with T = signed char; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:649:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:414:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 414 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:417:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 417 | offset = i == stepsWithinBlock_ - 1 | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:420:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 420 | numElements = i == stepsWithinBlock_ - 1 ? recvCounts_[i] + sendCounts_[i] | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:422:16: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 422 | if (offset > count_) { | ~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:426:30: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 426 | if (offset + numElements > count_) { | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:431:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 431 | for (int j = 0; j < devicePtrs_.size(); j++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:436:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 436 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:439:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 439 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:443:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 443 | for (int i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:444:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 444 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:448:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 448 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::setupNodes() [with T = float; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:513:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:338:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 338 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = signed char; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:649:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:98:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 98 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:128:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 128 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:138:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 138 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:140:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 140 | if (sendOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:147:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 147 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:149:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 149 | if (recvOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:215:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 215 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc: In instantiation of ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = signed char; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:196:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:40:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 40 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = double; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:514:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:69:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 69 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:94:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 94 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::run() [with T = signed char; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:649:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:266:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 266 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:267:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 267 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:271:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 271 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:286:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 286 | if (i != stepsWithinBlock_ - 1) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:319:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 319 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:333:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 333 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:348:45: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 348 | if (recvOffsets_[stepsWithinBlock_ - 1] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:362:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 362 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:367:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 367 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::run() [with T = double; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:514:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:135:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 135 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initBinaryBlocks() [with T = signed char; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:649:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:48:18: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘const int’ [-Wsign-compare] 48 | if (offset <= this->context_->rank) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::devicePointerInit() [with T = signed char; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:649:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:414:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 414 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:417:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 417 | offset = i == stepsWithinBlock_ - 1 | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:420:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 420 | numElements = i == stepsWithinBlock_ - 1 ? recvCounts_[i] + sendCounts_[i] | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:422:16: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 422 | if (offset > count_) { | ~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:426:30: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 426 | if (offset + numElements > count_) { | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:431:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 431 | for (int j = 0; j < devicePtrs_.size(); j++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:436:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 436 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:439:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 439 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:443:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 443 | for (int i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/transport/pair.h:13, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/context.h:15, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/algorithm.h:13, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.h:13, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h: In instantiation of ‘gloo::enforce_detail::EnforceFailMessage gloo::enforce_detail::Less(const T1&, const T2&) [with T1 = int; T2 = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:155:5: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:128:26: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const long unsigned int’ [-Wsign-compare] 128 | BINARY_COMP_HELPER(Less, <) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:119:11: note: in definition of macro ‘BINARY_COMP_HELPER’ 119 | if (x op y) { \ | ^~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::setupNodes() [with T = double; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:514:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:338:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 338 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:444:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 444 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:448:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 448 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = double; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:514:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:69:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 69 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:94:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 94 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/transport/pair.h:13, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/context.h:15, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/algorithm.h:13, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h: In instantiation of ‘gloo::enforce_detail::EnforceFailMessage gloo::enforce_detail::Less(const T1&, const T2&) [with T1 = int; T2 = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:155:5: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:128:26: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const long unsigned int’ [-Wsign-compare] 128 | BINARY_COMP_HELPER(Less, <) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:119:11: note: in definition of macro ‘BINARY_COMP_HELPER’ 119 | if (x op y) { \ | ^~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::run() [with T = double; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:514:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:135:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 135 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc: In instantiation of ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = signed char; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:196:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:40:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::setupNodes() [with T = double; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:514:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:338:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 338 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = signed char; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:363:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:60:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 60 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc: In instantiation of ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = signed char; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:181:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:34:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 34 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:86:25: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘const int’ [-Wsign-compare] 86 | if (offset + length <= count_) { | ~~~~~~~~~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = unsigned char; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:650:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:98:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 98 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:128:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 128 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:138:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 138 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:140:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 140 | if (sendOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:147:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 147 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:149:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 149 | if (recvOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:215:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 215 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::run() [with T = signed char; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:363:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:142:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 142 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:144:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 144 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc: In instantiation of ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = signed char; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:181:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:34:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = gloo::float16; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:515:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:69:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 69 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:153:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 153 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:155:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 155 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:163:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 163 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:165:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 165 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:94:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 94 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:174:30: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 174 | for (auto round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:177:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 177 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:222:29: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 222 | for (int round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:225:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 225 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:230:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 230 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:244:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 244 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:250:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 250 | if (round < (chunks_ - 4)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:272:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 272 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:274:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 274 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::copyChunkAtOffset(int) [with T = signed char; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:363:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:305:19: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 305 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::run() [with T = gloo::float16; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:515:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:135:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 135 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::run() [with T = unsigned char; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:650:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:266:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 266 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:267:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 267 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:271:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 271 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:286:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 286 | if (i != stepsWithinBlock_ - 1) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:319:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 319 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:333:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 333 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:348:45: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 348 | if (recvOffsets_[stepsWithinBlock_ - 1] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:362:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 362 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:367:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 367 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = signed char; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:363:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:60:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 60 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initBinaryBlocks() [with T = unsigned char; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:650:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:48:18: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘const int’ [-Wsign-compare] 48 | if (offset <= this->context_->rank) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:86:25: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘const int’ [-Wsign-compare] 86 | if (offset + length <= count_) { | ~~~~~~~~~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::devicePointerInit() [with T = unsigned char; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:650:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:414:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 414 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:417:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 417 | offset = i == stepsWithinBlock_ - 1 | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:420:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 420 | numElements = i == stepsWithinBlock_ - 1 ? recvCounts_[i] + sendCounts_[i] | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:422:16: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 422 | if (offset > count_) { | ~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:426:30: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 426 | if (offset + numElements > count_) { | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::setupNodes() [with T = gloo::float16; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:515:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:338:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 338 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:431:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 431 | for (int j = 0; j < devicePtrs_.size(); j++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:436:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 436 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:439:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 439 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:443:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 443 | for (int i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:444:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 444 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:448:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 448 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = gloo::float16; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:515:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:69:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 69 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc: In instantiation of ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = unsigned char; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:182:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:34:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:94:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 94 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = unsigned char; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:650:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:98:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 98 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::run() [with T = signed char; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:363:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:142:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 142 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:144:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 144 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:128:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 128 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:153:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 153 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:155:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 155 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:163:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 163 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:138:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 138 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:165:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 165 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:140:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 140 | if (sendOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:174:30: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 174 | for (auto round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:147:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 147 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:177:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 177 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:149:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 149 | if (recvOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:222:29: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 222 | for (int round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:225:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 225 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:230:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 230 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::run() [with T = gloo::float16; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:515:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:135:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 135 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:244:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 244 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:215:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 215 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:250:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 250 | if (round < (chunks_ - 4)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:272:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 272 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:274:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 274 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc: In instantiation of ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = unsigned char; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:182:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:34:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::copyChunkAtOffset(int) [with T = signed char; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:363:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:305:19: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 305 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::run() [with T = unsigned char; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:650:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:266:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 266 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:267:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 267 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:271:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 271 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:286:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 286 | if (i != stepsWithinBlock_ - 1) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::setupNodes() [with T = gloo::float16; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:515:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:338:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 338 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc: In instantiation of ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = unsigned char; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:197:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:40:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:319:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 319 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:333:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 333 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:348:45: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 348 | if (recvOffsets_[stepsWithinBlock_ - 1] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:362:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 362 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:367:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 367 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initBinaryBlocks() [with T = unsigned char; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:650:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:48:18: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘const int’ [-Wsign-compare] 48 | if (offset <= this->context_->rank) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::devicePointerInit() [with T = unsigned char; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:650:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:414:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 414 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:417:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 417 | offset = i == stepsWithinBlock_ - 1 | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:420:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 420 | numElements = i == stepsWithinBlock_ - 1 ? recvCounts_[i] + sendCounts_[i] | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:422:16: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 422 | if (offset > count_) { | ~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:426:30: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 426 | if (offset + numElements > count_) { | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:431:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 431 | for (int j = 0; j < devicePtrs_.size(); j++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:436:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 436 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:439:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 439 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:443:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 443 | for (int i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:444:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 444 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:448:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 448 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc: In instantiation of ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:183:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:34:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = unsigned char; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:364:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:60:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 60 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:86:25: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘const int’ [-Wsign-compare] 86 | if (offset + length <= count_) { | ~~~~~~~~~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc: In instantiation of ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:183:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:34:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::run() [with T = unsigned char; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:364:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:142:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 142 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:144:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 144 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:153:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 153 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:155:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 155 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:163:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 163 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:165:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 165 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:174:30: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 174 | for (auto round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:177:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 177 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:222:29: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 222 | for (int round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:225:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 225 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:230:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 230 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:244:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 244 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:250:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 250 | if (round < (chunks_ - 4)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:272:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 272 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:274:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 274 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:651:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:98:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 98 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:128:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 128 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::copyChunkAtOffset(int) [with T = unsigned char; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:364:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:305:19: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 305 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:138:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 138 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:140:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 140 | if (sendOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:147:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 147 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:149:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 149 | if (recvOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:215:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 215 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc: In instantiation of ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:184:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:34:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = unsigned char; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:364:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:60:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 60 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc: In instantiation of ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = unsigned char; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:197:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:40:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:86:25: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘const int’ [-Wsign-compare] 86 | if (offset + length <= count_) { | ~~~~~~~~~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::run() [with T = int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:651:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:266:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 266 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:267:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 267 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:271:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 271 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:286:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 286 | if (i != stepsWithinBlock_ - 1) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:319:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 319 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc: In instantiation of ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:184:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:34:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:333:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 333 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:348:45: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 348 | if (recvOffsets_[stepsWithinBlock_ - 1] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::run() [with T = unsigned char; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:364:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:142:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 142 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:362:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 362 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:144:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 144 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:367:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 367 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:153:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 153 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:155:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 155 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:163:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 163 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:165:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 165 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:174:30: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 174 | for (auto round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:177:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 177 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:222:29: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 222 | for (int round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:225:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 225 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:230:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 230 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:244:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 244 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initBinaryBlocks() [with T = int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:651:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:48:18: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘const int’ [-Wsign-compare] 48 | if (offset <= this->context_->rank) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:250:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 250 | if (round < (chunks_ - 4)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:272:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 272 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::devicePointerInit() [with T = int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:651:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:414:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 414 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:274:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 274 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:417:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 417 | offset = i == stepsWithinBlock_ - 1 | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:420:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 420 | numElements = i == stepsWithinBlock_ - 1 ? recvCounts_[i] + sendCounts_[i] | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:422:16: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 422 | if (offset > count_) { | ~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:426:30: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 426 | if (offset + numElements > count_) { | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:431:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 431 | for (int j = 0; j < devicePtrs_.size(); j++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:436:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 436 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:439:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 439 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::copyChunkAtOffset(int) [with T = unsigned char; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:364:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:305:19: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 305 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:443:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 443 | for (int i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:444:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 444 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:448:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 448 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:651:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:98:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 98 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:128:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 128 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:138:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 138 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:140:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 140 | if (sendOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:147:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 147 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:149:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 149 | if (recvOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:215:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 215 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc: In instantiation of ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long unsigned int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:185:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:34:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::run() [with T = int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:651:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:266:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 266 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:267:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 267 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:271:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 271 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc: In instantiation of ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long unsigned int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:185:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:34:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:365:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:60:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 60 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:286:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 286 | if (i != stepsWithinBlock_ - 1) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:319:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 319 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:333:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 333 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:86:25: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘const int’ [-Wsign-compare] 86 | if (offset + length <= count_) { | ~~~~~~~~~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:348:45: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 348 | if (recvOffsets_[stepsWithinBlock_ - 1] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:362:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 362 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:367:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 367 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initBinaryBlocks() [with T = int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:651:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:48:18: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘const int’ [-Wsign-compare] 48 | if (offset <= this->context_->rank) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::devicePointerInit() [with T = int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:651:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:414:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 414 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:417:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 417 | offset = i == stepsWithinBlock_ - 1 | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:420:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 420 | numElements = i == stepsWithinBlock_ - 1 ? recvCounts_[i] + sendCounts_[i] | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:422:16: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 422 | if (offset > count_) { | ~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::run() [with T = int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:365:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:142:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 142 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:426:30: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 426 | if (offset + numElements > count_) { | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:144:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 144 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:431:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 431 | for (int j = 0; j < devicePtrs_.size(); j++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:436:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 436 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:153:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 153 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:439:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 439 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc: In instantiation of ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:198:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:40:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:155:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 155 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:443:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 443 | for (int i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:444:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 444 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:163:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 163 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:165:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 165 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:448:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 448 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:174:30: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 174 | for (auto round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:177:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 177 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:222:29: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 222 | for (int round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:225:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 225 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:230:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 230 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:244:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 244 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:250:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 250 | if (round < (chunks_ - 4)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:272:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 272 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:274:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 274 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::copyChunkAtOffset(int) [with T = int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:365:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:305:19: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 305 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc: In instantiation of ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = float; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:186:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:34:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:365:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:60:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 60 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:86:25: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘const int’ [-Wsign-compare] 86 | if (offset + length <= count_) { | ~~~~~~~~~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc: In instantiation of ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = float; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:186:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:34:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::run() [with T = int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:365:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:142:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 142 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:144:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 144 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:153:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 153 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:155:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 155 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:163:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 163 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:165:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 165 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:174:30: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 174 | for (auto round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:177:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 177 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = long int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:652:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:98:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 98 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:222:29: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 222 | for (int round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:225:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 225 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:230:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 230 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:244:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 244 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:250:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 250 | if (round < (chunks_ - 4)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:272:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 272 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:128:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 128 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:274:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 274 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:138:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 138 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:140:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 140 | if (sendOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:147:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 147 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:149:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 149 | if (recvOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::copyChunkAtOffset(int) [with T = int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:365:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:305:19: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 305 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:215:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 215 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc: In instantiation of ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = double; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:187:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:34:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::run() [with T = long int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:652:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:266:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 266 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:267:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 267 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:271:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 271 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:286:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 286 | if (i != stepsWithinBlock_ - 1) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:319:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 319 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:333:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 333 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:348:45: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 348 | if (recvOffsets_[stepsWithinBlock_ - 1] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:362:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 362 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:367:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 367 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc: In instantiation of ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = double; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:187:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:34:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initBinaryBlocks() [with T = long int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:652:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:48:18: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘const int’ [-Wsign-compare] 48 | if (offset <= this->context_->rank) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:366:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:60:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 60 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::devicePointerInit() [with T = long int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:652:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:414:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 414 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:417:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 417 | offset = i == stepsWithinBlock_ - 1 | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:420:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 420 | numElements = i == stepsWithinBlock_ - 1 ? recvCounts_[i] + sendCounts_[i] | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:422:16: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 422 | if (offset > count_) { | ~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:426:30: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 426 | if (offset + numElements > count_) { | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:431:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 431 | for (int j = 0; j < devicePtrs_.size(); j++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:436:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 436 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:439:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 439 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:443:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 443 | for (int i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:444:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 444 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:86:25: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘const int’ [-Wsign-compare] 86 | if (offset + length <= count_) { | ~~~~~~~~~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:448:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 448 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = long int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:652:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:98:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 98 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc: In instantiation of ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:198:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:40:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:128:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 128 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:138:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 138 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:140:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 140 | if (sendOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:147:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 147 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:149:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 149 | if (recvOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::run() [with T = long int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:366:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:142:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 142 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:144:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 144 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:153:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 153 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:155:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 155 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:163:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 163 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:215:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 215 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:165:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 165 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:174:30: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 174 | for (auto round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:177:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 177 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:222:29: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 222 | for (int round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:225:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 225 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:230:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 230 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = signed char; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = signed char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:508:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:374:14: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 374 | if (bytes_ < kOnDeviceThreshold) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:244:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 244 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:250:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 250 | if (round < (chunks_ - 4)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:272:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 272 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:274:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 274 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::copyChunkAtOffset(int) [with T = long int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:366:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:305:19: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 305 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::run() [with T = long int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:652:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:266:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 266 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:267:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 267 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:271:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 271 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:286:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 286 | if (i != stepsWithinBlock_ - 1) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:319:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 319 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:333:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 333 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:348:45: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 348 | if (recvOffsets_[stepsWithinBlock_ - 1] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:362:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 362 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:366:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:60:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 60 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:367:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 367 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:86:25: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘const int’ [-Wsign-compare] 86 | if (offset + length <= count_) { | ~~~~~~~~~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initBinaryBlocks() [with T = long int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:652:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:48:18: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘const int’ [-Wsign-compare] 48 | if (offset <= this->context_->rank) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::devicePointerInit() [with T = long int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:652:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:414:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 414 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:417:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 417 | offset = i == stepsWithinBlock_ - 1 | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:420:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 420 | numElements = i == stepsWithinBlock_ - 1 ? recvCounts_[i] + sendCounts_[i] | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:422:16: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 422 | if (offset > count_) { | ~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:426:30: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 426 | if (offset + numElements > count_) { | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:431:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 431 | for (int j = 0; j < devicePtrs_.size(); j++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:436:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 436 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:439:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 439 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:443:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 443 | for (int i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:444:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 444 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:448:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 448 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::run() [with T = long int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:366:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:142:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 142 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:144:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 144 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:153:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 153 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:155:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 155 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:163:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 163 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:165:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 165 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:174:30: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 174 | for (auto round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:177:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 177 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:222:29: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 222 | for (int round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:225:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 225 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:230:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 230 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:244:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 244 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:250:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 250 | if (round < (chunks_ - 4)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:272:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 272 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:274:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 274 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::copyChunkAtOffset(int) [with T = long int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:366:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:305:19: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 305 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc: In instantiation of ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = gloo::float16; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:188:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:34:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc: In instantiation of ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = long int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:199:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:40:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = unsigned char; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = unsigned char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:509:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:374:14: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc: In instantiation of ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = gloo::float16; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:188:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:34:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = long unsigned int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:653:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:98:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 98 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:128:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 128 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:138:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 138 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:140:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 140 | if (sendOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:147:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 147 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:149:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 149 | if (recvOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:215:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 215 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = int; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:510:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:374:14: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::run() [with T = long unsigned int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:653:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:266:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 266 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:267:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 267 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:271:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 271 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:286:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 286 | if (i != stepsWithinBlock_ - 1) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long unsigned int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:367:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:60:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 60 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:319:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 319 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:333:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 333 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:348:45: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 348 | if (recvOffsets_[stepsWithinBlock_ - 1] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:362:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 362 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:86:25: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘const int’ [-Wsign-compare] 86 | if (offset + length <= count_) { | ~~~~~~~~~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:367:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 367 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initBinaryBlocks() [with T = long unsigned int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:653:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:48:18: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘const int’ [-Wsign-compare] 48 | if (offset <= this->context_->rank) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::devicePointerInit() [with T = long unsigned int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:653:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:414:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 414 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:417:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 417 | offset = i == stepsWithinBlock_ - 1 | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:420:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 420 | numElements = i == stepsWithinBlock_ - 1 ? recvCounts_[i] + sendCounts_[i] | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:422:16: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 422 | if (offset > count_) { | ~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:426:30: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 426 | if (offset + numElements > count_) { | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:431:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 431 | for (int j = 0; j < devicePtrs_.size(); j++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:436:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 436 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:439:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 439 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:443:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 443 | for (int i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:444:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 444 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:448:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 448 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::run() [with T = long unsigned int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:367:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:142:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 142 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:144:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 144 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:153:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 153 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:155:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 155 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:163:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 163 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:165:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 165 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:174:30: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 174 | for (auto round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:177:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 177 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:222:29: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 222 | for (int round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:225:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 225 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:230:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 230 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = long unsigned int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:653:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:98:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 98 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:244:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 244 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:250:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 250 | if (round < (chunks_ - 4)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:272:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 272 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:274:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 274 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:128:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 128 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:138:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 138 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::copyChunkAtOffset(int) [with T = long unsigned int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:367:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:305:19: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 305 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:140:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 140 | if (sendOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = long int; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = long int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:511:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:374:14: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:147:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 147 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:149:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 149 | if (recvOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:215:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 215 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc: In instantiation of ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = long int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:199:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:40:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::run() [with T = long unsigned int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:653:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:266:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 266 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:267:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 267 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:271:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 271 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:286:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 286 | if (i != stepsWithinBlock_ - 1) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:319:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 319 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:333:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 333 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:348:45: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 348 | if (recvOffsets_[stepsWithinBlock_ - 1] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:362:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 362 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:367:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 367 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = long unsigned int; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = long unsigned int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:512:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:374:14: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initBinaryBlocks() [with T = long unsigned int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:653:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:48:18: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘const int’ [-Wsign-compare] 48 | if (offset <= this->context_->rank) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long unsigned int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:367:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:60:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 60 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::devicePointerInit() [with T = long unsigned int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:653:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:414:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 414 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:417:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 417 | offset = i == stepsWithinBlock_ - 1 | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:420:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 420 | numElements = i == stepsWithinBlock_ - 1 ? recvCounts_[i] + sendCounts_[i] | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:422:16: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 422 | if (offset > count_) { | ~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:426:30: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 426 | if (offset + numElements > count_) { | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:431:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 431 | for (int j = 0; j < devicePtrs_.size(); j++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:86:25: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘const int’ [-Wsign-compare] 86 | if (offset + length <= count_) { | ~~~~~~~~~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:436:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 436 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:439:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 439 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:443:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 443 | for (int i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:444:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 444 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:448:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 448 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::run() [with T = long unsigned int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:367:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:142:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 142 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:144:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 144 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:153:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 153 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:155:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 155 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:163:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 163 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:165:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 165 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:174:30: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 174 | for (auto round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:177:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 177 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:222:29: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 222 | for (int round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:225:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 225 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:230:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 230 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:244:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 244 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:250:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 250 | if (round < (chunks_ - 4)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:272:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 272 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:274:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 274 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::copyChunkAtOffset(int) [with T = long unsigned int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:367:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:305:19: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 305 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = float; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = float; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:513:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:374:14: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = float; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:654:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:98:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 98 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:128:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 128 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:138:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 138 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:140:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 140 | if (sendOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = float; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:368:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:60:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 60 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:86:25: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘const int’ [-Wsign-compare] 86 | if (offset + length <= count_) { | ~~~~~~~~~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:147:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 147 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:149:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 149 | if (recvOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = double; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = double; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:514:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:374:14: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:215:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 215 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc: In instantiation of ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = long unsigned int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:200:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:40:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::run() [with T = float; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:368:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:142:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 142 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:144:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 144 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:153:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 153 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:155:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 155 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:163:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 163 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:165:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 165 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:174:30: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 174 | for (auto round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:177:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 177 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:222:29: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 222 | for (int round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:225:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 225 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:230:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 230 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:244:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 244 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:250:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 250 | if (round < (chunks_ - 4)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:272:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 272 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:274:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 274 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::copyChunkAtOffset(int) [with T = float; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:368:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:305:19: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 305 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::run() [with T = float; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:654:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:266:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 266 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:267:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 267 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:271:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 271 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:286:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 286 | if (i != stepsWithinBlock_ - 1) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = float; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:368:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:60:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 60 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:319:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 319 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:333:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 333 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:348:45: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 348 | if (recvOffsets_[stepsWithinBlock_ - 1] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:86:25: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘const int’ [-Wsign-compare] 86 | if (offset + length <= count_) { | ~~~~~~~~~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:362:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 362 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:367:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 367 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initBinaryBlocks() [with T = float; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:654:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:48:18: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘const int’ [-Wsign-compare] 48 | if (offset <= this->context_->rank) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = gloo::float16; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = gloo::float16; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:515:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:374:14: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::devicePointerInit() [with T = float; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:654:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:414:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 414 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:417:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 417 | offset = i == stepsWithinBlock_ - 1 | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::run() [with T = float; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:368:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:142:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 142 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:420:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 420 | numElements = i == stepsWithinBlock_ - 1 ? recvCounts_[i] + sendCounts_[i] | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:144:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 144 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:422:16: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 422 | if (offset > count_) { | ~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:426:30: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 426 | if (offset + numElements > count_) { | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:153:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 153 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:155:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 155 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:431:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 431 | for (int j = 0; j < devicePtrs_.size(); j++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:163:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 163 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:165:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 165 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:436:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 436 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:174:30: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 174 | for (auto round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:439:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 439 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:177:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 177 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:443:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 443 | for (int i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:444:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 444 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:448:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 448 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:222:29: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 222 | for (int round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:225:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 225 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:230:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 230 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:244:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 244 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:250:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 250 | if (round < (chunks_ - 4)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:272:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 272 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:274:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 274 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::copyChunkAtOffset(int) [with T = float; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:368:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:305:19: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 305 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = float; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:654:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:98:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 98 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:128:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 128 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:138:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 138 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:140:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 140 | if (sendOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:147:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 147 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:149:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 149 | if (recvOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:215:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 215 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc: In instantiation of ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = long unsigned int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:200:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:40:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::run() [with T = float; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:654:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:266:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 266 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:267:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 267 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:271:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 271 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:286:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 286 | if (i != stepsWithinBlock_ - 1) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = double; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:369:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:60:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 60 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:319:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 319 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:333:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 333 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:86:25: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘const int’ [-Wsign-compare] 86 | if (offset + length <= count_) { | ~~~~~~~~~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:348:45: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 348 | if (recvOffsets_[stepsWithinBlock_ - 1] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:362:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 362 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:367:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 367 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initBinaryBlocks() [with T = float; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:654:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:48:18: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘const int’ [-Wsign-compare] 48 | if (offset <= this->context_->rank) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::run() [with T = double; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:369:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:142:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 142 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:144:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 144 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::devicePointerInit() [with T = float; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:654:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:414:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 414 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:153:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 153 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:417:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 417 | offset = i == stepsWithinBlock_ - 1 | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:155:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 155 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:420:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 420 | numElements = i == stepsWithinBlock_ - 1 ? recvCounts_[i] + sendCounts_[i] | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:163:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 163 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:165:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 165 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:422:16: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 422 | if (offset > count_) { | ~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:174:30: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 174 | for (auto round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:426:30: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 426 | if (offset + numElements > count_) { | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:177:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 177 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:431:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 431 | for (int j = 0; j < devicePtrs_.size(); j++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:436:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 436 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:222:29: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 222 | for (int round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:439:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 439 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:225:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 225 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:230:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 230 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:443:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 443 | for (int i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:444:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 444 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:244:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 244 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:448:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 448 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:250:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 250 | if (round < (chunks_ - 4)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:272:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 272 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:274:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 274 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::copyChunkAtOffset(int) [with T = double; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:369:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:305:19: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 305 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = double; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:369:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:60:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 60 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:86:25: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘const int’ [-Wsign-compare] 86 | if (offset + length <= count_) { | ~~~~~~~~~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::run() [with T = double; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:369:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:142:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 142 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:144:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 144 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:153:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 153 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:155:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 155 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:163:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 163 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:165:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 165 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:174:30: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 174 | for (auto round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:177:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 177 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:222:29: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 222 | for (int round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:225:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 225 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:230:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 230 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:244:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 244 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:250:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 250 | if (round < (chunks_ - 4)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:272:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 272 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:274:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 274 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::copyChunkAtOffset(int) [with T = double; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:369:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:305:19: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 305 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = double; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:655:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:98:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 98 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:128:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 128 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:138:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 138 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:140:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 140 | if (sendOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:147:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 147 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:149:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 149 | if (recvOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:215:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 215 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = gloo::float16; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:370:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:60:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 60 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:86:25: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘const int’ [-Wsign-compare] 86 | if (offset + length <= count_) { | ~~~~~~~~~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc: In instantiation of ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = float; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:201:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:40:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::run() [with T = double; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:655:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:266:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 266 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:267:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 267 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:271:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 271 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:286:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 286 | if (i != stepsWithinBlock_ - 1) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::run() [with T = gloo::float16; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:370:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:142:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 142 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:144:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 144 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:319:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 319 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:153:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 153 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:333:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 333 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:155:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 155 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:163:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 163 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:165:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 165 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:348:45: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 348 | if (recvOffsets_[stepsWithinBlock_ - 1] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:174:30: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 174 | for (auto round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:177:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 177 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:362:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 362 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:222:29: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 222 | for (int round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:367:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 367 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:225:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 225 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:230:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 230 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:244:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 244 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:250:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 250 | if (round < (chunks_ - 4)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:272:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 272 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:274:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 274 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::copyChunkAtOffset(int) [with T = gloo::float16; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:370:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:305:19: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 305 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initBinaryBlocks() [with T = double; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:655:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:48:18: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘const int’ [-Wsign-compare] 48 | if (offset <= this->context_->rank) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::devicePointerInit() [with T = double; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:655:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:414:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 414 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:417:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 417 | offset = i == stepsWithinBlock_ - 1 | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:420:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 420 | numElements = i == stepsWithinBlock_ - 1 ? recvCounts_[i] + sendCounts_[i] | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:422:16: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 422 | if (offset > count_) { | ~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:426:30: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 426 | if (offset + numElements > count_) { | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:431:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 431 | for (int j = 0; j < devicePtrs_.size(); j++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:436:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 436 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:439:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 439 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:443:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 443 | for (int i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:444:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 444 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:448:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 448 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = gloo::float16; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:370:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:60:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 60 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:86:25: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘const int’ [-Wsign-compare] 86 | if (offset + length <= count_) { | ~~~~~~~~~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = double; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:655:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:98:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 98 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:128:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 128 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:138:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 138 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:140:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 140 | if (sendOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:147:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 147 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::run() [with T = gloo::float16; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:370:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:142:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 142 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:149:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 149 | if (recvOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:144:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 144 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:153:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 153 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:155:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 155 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:163:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 163 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:165:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 165 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:174:30: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 174 | for (auto round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:177:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 177 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:222:29: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 222 | for (int round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:225:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 225 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:230:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 230 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:244:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 244 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:215:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 215 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:250:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 250 | if (round < (chunks_ - 4)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:272:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 272 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:274:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 274 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::copyChunkAtOffset(int) [with T = gloo::float16; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:370:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:305:19: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 305 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::run() [with T = double; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:655:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:266:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 266 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:267:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 267 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:271:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 271 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:286:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 286 | if (i != stepsWithinBlock_ - 1) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:319:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 319 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:333:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 333 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:348:45: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 348 | if (recvOffsets_[stepsWithinBlock_ - 1] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:362:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 362 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:367:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 367 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initBinaryBlocks() [with T = double; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:655:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:48:18: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘const int’ [-Wsign-compare] 48 | if (offset <= this->context_->rank) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::devicePointerInit() [with T = double; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:655:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:414:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 414 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:417:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 417 | offset = i == stepsWithinBlock_ - 1 | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc: In instantiation of ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = float; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:201:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:40:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:420:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 420 | numElements = i == stepsWithinBlock_ - 1 ? recvCounts_[i] + sendCounts_[i] | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:422:16: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 422 | if (offset > count_) { | ~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:426:30: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 426 | if (offset + numElements > count_) { | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:431:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 431 | for (int j = 0; j < devicePtrs_.size(); j++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:436:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 436 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:439:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 439 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:443:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 443 | for (int i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:444:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 444 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:448:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 448 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = gloo::float16; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:656:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:98:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 98 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:128:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 128 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:138:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 138 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:140:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 140 | if (sendOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:147:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 147 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:149:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 149 | if (recvOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:215:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 215 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::run() [with T = gloo::float16; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:656:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:266:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 266 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:267:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 267 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:271:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 271 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:286:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 286 | if (i != stepsWithinBlock_ - 1) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:319:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 319 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:333:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 333 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:348:45: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 348 | if (recvOffsets_[stepsWithinBlock_ - 1] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:362:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 362 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:367:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 367 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initBinaryBlocks() [with T = gloo::float16; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:656:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:48:18: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘const int’ [-Wsign-compare] 48 | if (offset <= this->context_->rank) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::devicePointerInit() [with T = gloo::float16; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:656:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:414:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 414 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:417:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 417 | offset = i == stepsWithinBlock_ - 1 | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:420:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 420 | numElements = i == stepsWithinBlock_ - 1 ? recvCounts_[i] + sendCounts_[i] | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:422:16: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 422 | if (offset > count_) { | ~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:426:30: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 426 | if (offset + numElements > count_) { | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:431:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 431 | for (int j = 0; j < devicePtrs_.size(); j++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:436:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 436 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:439:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 439 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:443:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 443 | for (int i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:444:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 444 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:448:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 448 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = gloo::float16; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:656:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:98:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 98 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:128:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 128 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:138:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 138 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:140:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 140 | if (sendOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:147:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 147 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:149:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 149 | if (recvOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:215:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 215 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc: In instantiation of ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = double; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:202:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:40:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::run() [with T = gloo::float16; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:656:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:266:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 266 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:267:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 267 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:271:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 271 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:286:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 286 | if (i != stepsWithinBlock_ - 1) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:319:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 319 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:333:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 333 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:348:45: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 348 | if (recvOffsets_[stepsWithinBlock_ - 1] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:362:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 362 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:367:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 367 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initBinaryBlocks() [with T = gloo::float16; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:656:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:48:18: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘const int’ [-Wsign-compare] 48 | if (offset <= this->context_->rank) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::devicePointerInit() [with T = gloo::float16; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:656:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:414:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 414 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:417:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 417 | offset = i == stepsWithinBlock_ - 1 | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:420:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 420 | numElements = i == stepsWithinBlock_ - 1 ? recvCounts_[i] + sendCounts_[i] | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:422:16: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 422 | if (offset > count_) { | ~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:426:30: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 426 | if (offset + numElements > count_) { | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:431:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 431 | for (int j = 0; j < devicePtrs_.size(); j++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:436:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 436 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:439:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 439 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:443:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 443 | for (int i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:444:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 444 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:448:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 448 | if (recvOffsets_[0] < count_) { In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/algorithm.h:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = signed char; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = signed char; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:27:37: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = signed char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:181:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 20 | for (auto i = 0; i < n; i++) { | ~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc: In instantiation of ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = double; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:202:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:40:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc: In instantiation of ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = gloo::float16; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:203:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:40:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = signed char; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = signed char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:649:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:478:14: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 478 | if (bytes_ < kOnDeviceThreshold) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:18, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = signed char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:153:52: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = signed char; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = signed char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:181:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initReductionsAndBroadcasts(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = signed char; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:241:32: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = signed char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:649:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:577:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 577 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:582:41: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 582 | const size_t numElementsInBcast = i == stepsWithinBlock_ - 1 | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc: In instantiation of ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = gloo::float16; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:203:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:40:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initReductionsAndBroadcasts(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = signed char; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:241:32: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = signed char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:649:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:630:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 630 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:640:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 640 | i == stepsWithinBlock_ - 1 ? sendCounts_[i] + recvCounts_[i] | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = unsigned char; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = unsigned char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:650:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:478:14: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 478 | if (bytes_ < kOnDeviceThreshold) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initReductionsAndBroadcasts(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = unsigned char; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:241:32: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = unsigned char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:650:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:577:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 577 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:582:41: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 582 | const size_t numElementsInBcast = i == stepsWithinBlock_ - 1 | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initReductionsAndBroadcasts(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = unsigned char; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:241:32: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = unsigned char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:650:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:630:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 630 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:640:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 640 | i == stepsWithinBlock_ - 1 ? sendCounts_[i] + recvCounts_[i] | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = int; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:651:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:478:14: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 478 | if (bytes_ < kOnDeviceThreshold) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:18, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = signed char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:396:52: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = signed char; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = signed char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:508:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initReductionsAndBroadcasts(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = int; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:241:32: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:651:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:577:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 577 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:582:41: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 582 | const size_t numElementsInBcast = i == stepsWithinBlock_ - 1 | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initReductionsAndBroadcasts(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:241:32: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:651:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:630:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 630 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:640:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 640 | i == stepsWithinBlock_ - 1 ? sendCounts_[i] + recvCounts_[i] | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = long int; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = long int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:652:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:478:14: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 478 | if (bytes_ < kOnDeviceThreshold) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initReductionsAndBroadcasts(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = long int; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:241:32: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = long int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:652:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:577:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 577 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:582:41: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 582 | const size_t numElementsInBcast = i == stepsWithinBlock_ - 1 | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initReductionsAndBroadcasts(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = long int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:241:32: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = long int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:652:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:630:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 630 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:640:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 640 | i == stepsWithinBlock_ - 1 ? sendCounts_[i] + recvCounts_[i] | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = long unsigned int; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = long unsigned int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:653:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:478:14: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 478 | if (bytes_ < kOnDeviceThreshold) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initReductionsAndBroadcasts(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = long unsigned int; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:241:32: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = long unsigned int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:653:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:577:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 577 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:582:41: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 582 | const size_t numElementsInBcast = i == stepsWithinBlock_ - 1 | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initReductionsAndBroadcasts(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = long unsigned int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:241:32: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = long unsigned int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:653:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:630:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 630 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:640:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 640 | i == stepsWithinBlock_ - 1 ? sendCounts_[i] + recvCounts_[i] | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = float; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = float; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:654:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:478:14: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 478 | if (bytes_ < kOnDeviceThreshold) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initReductionsAndBroadcasts(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = float; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:241:32: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = float; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:654:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:577:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 577 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:582:41: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 582 | const size_t numElementsInBcast = i == stepsWithinBlock_ - 1 | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = unsigned char; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = unsigned char; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:27:37: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = unsigned char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:182:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 20 | for (auto i = 0; i < n; i++) { | ~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initReductionsAndBroadcasts(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = float; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:241:32: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = float; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:654:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:630:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 630 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:640:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 640 | i == stepsWithinBlock_ - 1 ? sendCounts_[i] + recvCounts_[i] | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = double; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = double; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:655:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:478:14: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 478 | if (bytes_ < kOnDeviceThreshold) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initReductionsAndBroadcasts(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = double; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:241:32: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = double; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:655:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:577:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 577 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:582:41: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 582 | const size_t numElementsInBcast = i == stepsWithinBlock_ - 1 | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initReductionsAndBroadcasts(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = double; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:241:32: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = double; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:655:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:630:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 630 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:640:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 640 | i == stepsWithinBlock_ - 1 ? sendCounts_[i] + recvCounts_[i] | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = gloo::float16; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = gloo::float16; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:656:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:478:14: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 478 | if (bytes_ < kOnDeviceThreshold) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initReductionsAndBroadcasts(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = gloo::float16; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:241:32: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = gloo::float16; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:656:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:577:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 577 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:582:41: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 582 | const size_t numElementsInBcast = i == stepsWithinBlock_ - 1 | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initReductionsAndBroadcasts(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = gloo::float16; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:241:32: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = gloo::float16; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:656:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:630:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 630 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:640:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 640 | i == stepsWithinBlock_ - 1 ? sendCounts_[i] + recvCounts_[i] | ~~^~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/algorithm.h:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = signed char; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = signed char; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:75:37: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = signed char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:649:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 20 | for (auto i = 0; i < n; i++) { | ~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = unsigned char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:153:52: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = unsigned char; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = unsigned char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:182:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = int; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:27:37: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:183:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 20 | for (auto i = 0; i < n; i++) { | ~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = unsigned char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:396:52: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = unsigned char; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = unsigned char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:509:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:18, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = signed char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:500:52: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = signed char; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = signed char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:649:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/algorithm.h:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = signed char; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = signed char; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:26:37: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = signed char]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:70:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 20 | for (auto i = 0; i < n; i++) { | ~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = unsigned char; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = unsigned char; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:26:37: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = unsigned char]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:71:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = int; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:26:37: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:72:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = unsigned char; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = unsigned char; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:75:37: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = unsigned char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:650:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 20 | for (auto i = 0; i < n; i++) { | ~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = long int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = long int; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:26:37: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:73:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = long unsigned int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = long unsigned int; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:26:37: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:74:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = float; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = float; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:26:37: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = float]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:75:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = double; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = double; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:26:37: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = double]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:76:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:153:52: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:183:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = float16; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = float16; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:26:37: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = gloo::float16]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:77:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:21, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = signed char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = signed char; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:48:23: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = signed char]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:70:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = signed char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = signed char; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:50:26: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = signed char]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:70:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = long int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = long int; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:27:37: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:184:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 20 | for (auto i = 0; i < n; i++) { | ~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = unsigned char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = unsigned char; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:48:23: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = unsigned char]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:71:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = unsigned char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:500:52: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = unsigned char; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = unsigned char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:650:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = unsigned char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = unsigned char; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:50:26: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = unsigned char]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:71:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:396:52: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:510:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = int; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:48:23: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:72:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = int; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:50:26: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:72:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = int; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:75:37: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:651:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 20 | for (auto i = 0; i < n; i++) { | ~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = long int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = long int; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:48:23: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:73:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = long int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = long int; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:50:26: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:73:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:153:52: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = long int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:184:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = long unsigned int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = long unsigned int; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:48:23: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:74:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = long unsigned int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = long unsigned int; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:50:26: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:74:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = float; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = float; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:48:23: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = float]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:75:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = float; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = float; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:50:26: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = float]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:75:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = double; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = double; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:48:23: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = double]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:76:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = long unsigned int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = long unsigned int; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:27:37: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long unsigned int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:185:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 20 | for (auto i = 0; i < n; i++) { | ~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = double; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = double; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:50:26: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = double]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:76:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:396:52: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = long int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = long int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:511:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = gloo::float16; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = float16; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:48:23: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = gloo::float16]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:77:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = gloo::float16; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = float16; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:50:26: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = gloo::float16]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:77:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:500:52: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:651:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = signed char; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:64:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = signed char; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = signed char; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:48:23: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = signed char]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:70:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 25 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = unsigned char; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:64:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = unsigned char; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = unsigned char; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:48:23: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = unsigned char]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:71:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:153:52: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = long unsigned int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long unsigned int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:185:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = long int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = long int; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:75:37: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = long int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:652:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 20 | for (auto i = 0; i < n; i++) { | ~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:64:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = int; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = int; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:48:23: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:72:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = long int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:64:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = long int; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = long int; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:48:23: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:73:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = long unsigned int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:64:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = long unsigned int; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = long unsigned int; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:48:23: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:74:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = float; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:64:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = float; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = float; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:48:23: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = float]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:75:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:396:52: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = long unsigned int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = long unsigned int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:512:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = float; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = float; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:27:37: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = float; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:186:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 20 | for (auto i = 0; i < n; i++) { | ~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = double; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:64:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = double; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = double; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:48:23: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = double]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:76:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = float16; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:64:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = gloo::float16; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = float16; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:48:23: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = gloo::float16]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:77:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = float]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:153:52: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = float; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = float; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:186:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:500:52: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = long int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = long int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:652:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = long unsigned int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = long unsigned int; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:75:37: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = long unsigned int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:653:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 20 | for (auto i = 0; i < n; i++) { | ~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = double; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = double; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:27:37: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = double; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:187:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 20 | for (auto i = 0; i < n; i++) { | ~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = double]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:153:52: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = double; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = double; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:187:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:500:52: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = long unsigned int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = long unsigned int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:653:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = float16; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = float16; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:27:37: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = gloo::float16; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:188:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 20 | for (auto i = 0; i < n; i++) { | ~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = float; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = float; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:75:37: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = float; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:654:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 20 | for (auto i = 0; i < n; i++) { | ~~^~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:21, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = signed char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = signed char; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:83:26: required from ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = signed char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:196:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = float16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:153:52: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = gloo::float16; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = gloo::float16; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:188:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = unsigned char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = unsigned char; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:83:26: required from ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = unsigned char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:197:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = int; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:83:26: required from ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:198:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = float]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:396:52: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = float; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = float; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:513:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = long int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = long int; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:83:26: required from ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = long int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:199:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = long unsigned int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = long unsigned int; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:83:26: required from ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = long unsigned int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:200:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = float; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = float; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:83:26: required from ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = float; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:201:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = double; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = double; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:83:26: required from ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = double; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:202:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = gloo::float16; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = float16; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:83:26: required from ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = gloo::float16; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:203:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = signed char; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:166:27: required from ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = signed char; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = signed char; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:83:26: required from ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = signed char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:196:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 25 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = double]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:396:52: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = double; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = double; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:514:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = unsigned char; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:166:27: required from ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = unsigned char; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = unsigned char; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:83:26: required from ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = unsigned char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:197:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:166:27: required from ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = int; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = int; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:83:26: required from ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:198:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = long int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:166:27: required from ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = long int; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = long int; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:83:26: required from ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = long int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:199:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = long unsigned int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:166:27: required from ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = long unsigned int; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = long unsigned int; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:83:26: required from ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = long unsigned int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:200:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = float; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:166:27: required from ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = float; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = float; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:83:26: required from ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = float; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:201:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = double; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:166:27: required from ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = double; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = double; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:83:26: required from ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = double; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:202:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = float16; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:166:27: required from ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = gloo::float16; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = float16; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:83:26: required from ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = gloo::float16; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:203:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = float16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:396:52: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = gloo::float16; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = gloo::float16; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:515:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/algorithm.h:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = signed char; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = signed char; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:53:37: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = signed char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:363:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 20 | for (auto i = 0; i < n; i++) { | ~~^~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:18, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = signed char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:346:52: required from ‘void gloo::CudaAllreduceRingChunked::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = signed char; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:82:7: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = signed char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:363:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = unsigned char; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = unsigned char; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:53:37: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = unsigned char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:364:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 20 | for (auto i = 0; i < n; i++) { | ~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = unsigned char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:346:52: required from ‘void gloo::CudaAllreduceRingChunked::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = unsigned char; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:82:7: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = unsigned char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:364:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = int; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:53:37: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:365:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 20 | for (auto i = 0; i < n; i++) { | ~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:346:52: required from ‘void gloo::CudaAllreduceRingChunked::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:82:7: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:365:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = long int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = long int; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:53:37: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:366:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 20 | for (auto i = 0; i < n; i++) { | ~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:346:52: required from ‘void gloo::CudaAllreduceRingChunked::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = long int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:82:7: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:366:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = long unsigned int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = long unsigned int; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:53:37: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long unsigned int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:367:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 20 | for (auto i = 0; i < n; i++) { | ~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:346:52: required from ‘void gloo::CudaAllreduceRingChunked::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = long unsigned int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:82:7: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long unsigned int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:367:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = float; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = float; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:53:37: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = float; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:368:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 20 | for (auto i = 0; i < n; i++) { | ~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = float]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:346:52: required from ‘void gloo::CudaAllreduceRingChunked::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = float; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:82:7: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = float; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:368:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = double; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = double; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:53:37: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = double; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:369:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 20 | for (auto i = 0; i < n; i++) { | ~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = double]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:346:52: required from ‘void gloo::CudaAllreduceRingChunked::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = double; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:82:7: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = double; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:369:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = float16; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = float16; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:53:37: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = gloo::float16; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:370:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 20 | for (auto i = 0; i < n; i++) { | ~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = float16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:346:52: required from ‘void gloo::CudaAllreduceRingChunked::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = gloo::float16; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:82:7: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = gloo::float16; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:370:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = float]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:500:52: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = float; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = float; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:654:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:21: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = signed char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = signed char; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:96:29: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = signed char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:363:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = signed char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = signed char; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:98:32: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = signed char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:363:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = double; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = double; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:75:37: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = double; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:655:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 20 | for (auto i = 0; i < n; i++) { | ~~^~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘gloo::CudaLocalHostReduce >::CudaLocalHostReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = signed char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalHostReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:237:51: required from ‘std::unique_ptr > gloo::cudaHostReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = signed char; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:376:23: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = signed char; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = signed char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:508:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:103:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 103 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = unsigned char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = unsigned char; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:96:29: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = unsigned char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:364:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = unsigned char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = unsigned char; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:98:32: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = unsigned char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:364:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:21: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = signed char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = signed char; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:405:38: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = signed char; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = signed char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:508:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = signed char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = signed char; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:408:28: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = signed char; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = signed char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:508:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = int; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:96:29: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:365:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘gloo::CudaLocalHostReduce >::CudaLocalHostReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = unsigned char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalHostReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:237:51: required from ‘std::unique_ptr > gloo::cudaHostReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = unsigned char; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:376:23: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = unsigned char; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = unsigned char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:509:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:103:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 103 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = int; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:98:32: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:365:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = unsigned char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = unsigned char; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:405:38: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = unsigned char; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = unsigned char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:509:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = unsigned char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = unsigned char; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:408:28: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = unsigned char; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = unsigned char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:509:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = long int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = long int; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:96:29: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:366:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = long int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = long int; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:98:32: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:366:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘gloo::CudaLocalHostReduce >::CudaLocalHostReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalHostReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:237:51: required from ‘std::unique_ptr > gloo::cudaHostReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = int; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:376:23: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = int; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:510:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:103:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 103 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = double]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:500:52: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = double; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = double; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:655:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = int; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:405:38: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:510:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = int; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:408:28: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:510:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘gloo::CudaLocalHostReduce >::CudaLocalHostReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = long int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalHostReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:237:51: required from ‘std::unique_ptr > gloo::cudaHostReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = long int; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:376:23: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = long int; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = long int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:511:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:103:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 103 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = float16; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = float16; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:75:37: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = gloo::float16; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:656:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 20 | for (auto i = 0; i < n; i++) { | ~~^~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘gloo::CudaLocalHostReduce >::CudaLocalHostReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = signed char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalHostReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:237:51: required from ‘std::unique_ptr > gloo::cudaHostReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = signed char; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:137:19: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = signed char; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = signed char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:181:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:103:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 103 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = long int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = long int; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:405:38: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = long int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = long int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:511:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = long int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = long int; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:408:28: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = long int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = long int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:511:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = long unsigned int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = long unsigned int; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:96:29: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long unsigned int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:367:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:21: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = signed char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = signed char; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:162:23: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = signed char; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = signed char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:181:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = long unsigned int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = long unsigned int; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:98:32: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long unsigned int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:367:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘gloo::CudaLocalHostReduce >::CudaLocalHostReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = long unsigned int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalHostReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:237:51: required from ‘std::unique_ptr > gloo::cudaHostReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = long unsigned int; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:376:23: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = long unsigned int; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = long unsigned int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:512:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:103:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 103 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = signed char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = signed char; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:164:26: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = signed char; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = signed char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:181:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘gloo::CudaLocalHostReduce >::CudaLocalHostReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = unsigned char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalHostReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:237:51: required from ‘std::unique_ptr > gloo::cudaHostReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = unsigned char; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:137:19: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = unsigned char; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = unsigned char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:182:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:103:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 103 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = long unsigned int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = long unsigned int; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:405:38: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = long unsigned int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = long unsigned int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:512:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = long unsigned int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = long unsigned int; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:408:28: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = long unsigned int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = long unsigned int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:512:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘gloo::CudaLocalHostReduce >::CudaLocalHostReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = float; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalHostReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:237:51: required from ‘std::unique_ptr > gloo::cudaHostReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = float; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:376:23: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = float; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = float; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:513:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:103:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 103 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = float; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = float; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:96:29: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = float; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:368:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = float; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = float; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:98:32: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = float; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:368:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = unsigned char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = unsigned char; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:162:23: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = unsigned char; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = unsigned char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:182:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = float; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = float; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:405:38: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = float; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = float; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:513:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = float; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = float; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:408:28: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = float; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = float; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:513:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = unsigned char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = unsigned char; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:164:26: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = unsigned char; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = unsigned char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:182:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘gloo::CudaLocalHostReduce >::CudaLocalHostReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = double; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalHostReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:237:51: required from ‘std::unique_ptr > gloo::cudaHostReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = double; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:376:23: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = double; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = double; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:514:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:103:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 103 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘gloo::CudaLocalHostReduce >::CudaLocalHostReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalHostReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:237:51: required from ‘std::unique_ptr > gloo::cudaHostReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = int; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:137:19: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = int; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:183:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:103:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 103 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = double; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = double; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:96:29: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = double; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:369:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = double; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = double; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:98:32: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = double; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:369:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = int; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:162:23: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:183:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = double; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = double; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:405:38: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = double; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = double; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:514:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = float16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:500:52: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = gloo::float16; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = gloo::float16; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:656:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = double; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = double; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:408:28: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = double; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = double; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:514:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = int; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:164:26: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:183:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘gloo::CudaLocalHostReduce >::CudaLocalHostReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = long int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalHostReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:237:51: required from ‘std::unique_ptr > gloo::cudaHostReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = long int; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:137:19: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = long int; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:184:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:103:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 103 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘gloo::CudaLocalHostReduce >::CudaLocalHostReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = gloo::float16; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalHostReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:237:51: required from ‘std::unique_ptr > gloo::cudaHostReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = float16; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:376:23: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = gloo::float16; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = gloo::float16; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:515:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:103:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 103 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = gloo::float16; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = float16; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:96:29: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = gloo::float16; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:370:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = gloo::float16; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = float16; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:98:32: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = gloo::float16; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:370:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = long int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = long int; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:162:23: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = long int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:184:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = long int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = long int; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:164:26: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = long int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:184:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = gloo::float16; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = float16; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:405:38: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = gloo::float16; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = gloo::float16; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:515:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = signed char; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:105:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = signed char; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = signed char; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:96:29: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = signed char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:363:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 25 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = gloo::float16; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = float16; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:408:28: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = gloo::float16; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = gloo::float16; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:515:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘gloo::CudaLocalHostReduce >::CudaLocalHostReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = long unsigned int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalHostReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:237:51: required from ‘std::unique_ptr > gloo::cudaHostReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = long unsigned int; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:137:19: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = long unsigned int; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long unsigned int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:185:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:103:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 103 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = signed char; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:105:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = signed char; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = signed char; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:380:38: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = signed char; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = signed char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:508:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 25 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = long unsigned int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = long unsigned int; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:162:23: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = long unsigned int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long unsigned int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:185:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = unsigned char; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:105:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = unsigned char; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = unsigned char; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:96:29: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = unsigned char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:364:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = long unsigned int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = long unsigned int; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:164:26: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = long unsigned int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long unsigned int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:185:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = unsigned char; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:105:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = unsigned char; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = unsigned char; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:380:38: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = unsigned char; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = unsigned char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:509:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘gloo::CudaLocalHostReduce >::CudaLocalHostReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = float; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalHostReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:237:51: required from ‘std::unique_ptr > gloo::cudaHostReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = float; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:137:19: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = float; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = float; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:186:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:103:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 103 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:105:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = int; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = int; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:96:29: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:365:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:105:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = int; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = int; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:380:38: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = int; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:510:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = float; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = float; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:162:23: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = float; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = float; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:186:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = float; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = float; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:164:26: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = float; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = float; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:186:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = long int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:105:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = long int; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = long int; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:96:29: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:366:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = long int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:105:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = long int; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = long int; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:380:38: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = long int; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = long int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:511:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘gloo::CudaLocalHostReduce >::CudaLocalHostReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = double; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalHostReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:237:51: required from ‘std::unique_ptr > gloo::cudaHostReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = double; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:137:19: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = double; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = double; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:187:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:103:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 103 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = double; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = double; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:162:23: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = double; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = double; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:187:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = long unsigned int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:105:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = long unsigned int; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = long unsigned int; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:380:38: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = long unsigned int; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = long unsigned int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:512:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = double; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = double; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:164:26: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = double; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = double; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:187:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = long unsigned int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:105:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = long unsigned int; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = long unsigned int; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:96:29: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long unsigned int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:367:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = float; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:105:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = float; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = float; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:380:38: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = float; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = float; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:513:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘gloo::CudaLocalHostReduce >::CudaLocalHostReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = gloo::float16; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalHostReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:237:51: required from ‘std::unique_ptr > gloo::cudaHostReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = float16; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:137:19: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = gloo::float16; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = gloo::float16; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:188:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:103:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 103 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = float; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:105:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = float; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = float; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:96:29: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = float; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:368:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = gloo::float16; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = float16; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:162:23: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = gloo::float16; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = gloo::float16; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:188:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = double; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:105:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = double; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = double; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:380:38: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = double; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = double; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:514:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = gloo::float16; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = float16; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:164:26: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = gloo::float16; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = gloo::float16; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:188:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = double; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:105:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = double; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = double; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:96:29: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = double; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:369:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = float16; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:105:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = gloo::float16; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = float16; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:380:38: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = gloo::float16; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = gloo::float16; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:515:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = signed char; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:64:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = signed char; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = signed char; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:162:23: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = signed char; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = signed char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:181:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 25 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = float16; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:105:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = gloo::float16; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = float16; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:96:29: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = gloo::float16; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:370:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘gloo::CudaLocalHostReduce >::CudaLocalHostReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = signed char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalHostReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:237:51: required from ‘std::unique_ptr > gloo::cudaHostReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = signed char; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:480:23: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = signed char; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = signed char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:649:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:103:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 103 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:21: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = signed char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = signed char; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:523:25: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = signed char; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = signed char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:649:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = signed char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = signed char; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:525:28: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = signed char; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = signed char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:649:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘gloo::CudaLocalHostReduce >::CudaLocalHostReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = unsigned char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalHostReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:237:51: required from ‘std::unique_ptr > gloo::cudaHostReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = unsigned char; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:480:23: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = unsigned char; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = unsigned char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:650:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:103:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 103 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = unsigned char; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:64:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = unsigned char; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = unsigned char; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:162:23: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = unsigned char; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = unsigned char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:182:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = unsigned char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = unsigned char; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:523:25: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = unsigned char; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = unsigned char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:650:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:64:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = int; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = int; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:162:23: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:183:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = unsigned char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = unsigned char; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:525:28: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = unsigned char; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = unsigned char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:650:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘gloo::CudaLocalHostReduce >::CudaLocalHostReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalHostReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:237:51: required from ‘std::unique_ptr > gloo::cudaHostReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = int; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:480:23: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = int; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:651:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:103:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 103 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = long int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:64:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = long int; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = long int; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:162:23: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = long int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:184:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = int; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:523:25: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:651:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = int; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:525:28: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:651:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = long unsigned int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:64:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = long unsigned int; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = long unsigned int; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:162:23: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = long unsigned int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long unsigned int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:185:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘gloo::CudaLocalHostReduce >::CudaLocalHostReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = long int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalHostReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:237:51: required from ‘std::unique_ptr > gloo::cudaHostReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = long int; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:480:23: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = long int; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = long int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:652:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:103:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 103 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = float; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:64:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = float; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = float; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:162:23: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = float; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = float; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:186:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = long int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = long int; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:523:25: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = long int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = long int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:652:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = long int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = long int; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:525:28: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = long int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = long int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:652:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘gloo::CudaLocalHostReduce >::CudaLocalHostReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = long unsigned int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalHostReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:237:51: required from ‘std::unique_ptr > gloo::cudaHostReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = long unsigned int; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:480:23: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = long unsigned int; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = long unsigned int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:653:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:103:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 103 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = double; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:64:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = double; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = double; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:162:23: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = double; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = double; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:187:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = long unsigned int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = long unsigned int; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:523:25: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = long unsigned int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = long unsigned int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:653:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = long unsigned int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = long unsigned int; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:525:28: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = long unsigned int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = long unsigned int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:653:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = float16; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:64:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = gloo::float16; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = float16; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:162:23: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = gloo::float16; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = gloo::float16; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:188:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘gloo::CudaLocalHostReduce >::CudaLocalHostReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = float; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalHostReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:237:51: required from ‘std::unique_ptr > gloo::cudaHostReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = float; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:480:23: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = float; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = float; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:654:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:103:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 103 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = float; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = float; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:523:25: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = float; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = float; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:654:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = float; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = float; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:525:28: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = float; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = float; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:654:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘gloo::CudaLocalHostReduce >::CudaLocalHostReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = double; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalHostReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:237:51: required from ‘std::unique_ptr > gloo::cudaHostReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = double; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:480:23: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = double; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = double; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:655:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:103:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 103 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = double; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = double; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:523:25: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = double; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = double; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:655:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = double; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = double; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:525:28: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = double; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = double; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:655:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘gloo::CudaLocalHostReduce >::CudaLocalHostReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = gloo::float16; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalHostReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:237:51: required from ‘std::unique_ptr > gloo::cudaHostReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = float16; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:480:23: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = gloo::float16; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = gloo::float16; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:656:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:103:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 103 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = gloo::float16; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = float16; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:523:25: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = gloo::float16; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = gloo::float16; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:656:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = gloo::float16; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = float16; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:525:28: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = gloo::float16; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = gloo::float16; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:656:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = signed char; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:105:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = signed char; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = signed char; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:485:25: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = signed char; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = signed char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:649:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 25 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = unsigned char; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:105:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = unsigned char; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = unsigned char; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:485:25: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = unsigned char; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = unsigned char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:650:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::runAsync() [with T = gloo::float16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:199:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:201:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 201 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::wait() [with T = gloo::float16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:206:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:207:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 207 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostReduce >::runAsync() [with T = gloo::float16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:108:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:111:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 111 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:116:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:105:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = int; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = int; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:485:25: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = int; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:651:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::runAsync() [with T = double]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:199:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:201:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 201 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::wait() [with T = double]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:206:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:207:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 207 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostReduce >::runAsync() [with T = double]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:108:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:111:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 111 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:116:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::runAsync() [with T = float]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:199:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:201:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 201 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::wait() [with T = float]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:206:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:207:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 207 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostReduce >::runAsync() [with T = float]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:108:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:111:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 111 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:116:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::runAsync() [with T = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:199:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:201:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 201 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::wait() [with T = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:206:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:207:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 207 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostReduce >::runAsync() [with T = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:108:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:111:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 111 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:116:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::runAsync() [with T = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:199:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:201:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 201 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::wait() [with T = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:206:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:207:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 207 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostReduce >::runAsync() [with T = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:108:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:111:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 111 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:116:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::runAsync() [with T = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:199:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:201:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 201 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::wait() [with T = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:206:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:207:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 207 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostReduce >::runAsync() [with T = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:108:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:111:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 111 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:116:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::runAsync() [with T = unsigned char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:199:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:201:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 201 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::wait() [with T = unsigned char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:206:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:207:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 207 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostReduce >::runAsync() [with T = unsigned char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:108:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:111:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 111 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:116:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::runAsync() [with T = signed char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:199:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:201:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 201 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::wait() [with T = signed char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:206:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:207:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 207 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostReduce >::runAsync() [with T = signed char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:108:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:111:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 111 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:116:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = long int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:105:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = long int; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = long int; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:485:25: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = long int; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = long int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:652:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = long unsigned int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:105:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = long unsigned int; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = long unsigned int; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:485:25: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = long unsigned int; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = long unsigned int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:653:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = float; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:105:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = float; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = float; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:485:25: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = float; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = float; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:654:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = double; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:105:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = double; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = double; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:485:25: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = double; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = double; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:655:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = float16; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:105:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = gloo::float16; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = float16; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:485:25: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = gloo::float16; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = gloo::float16; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:656:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::runAsync() [with T = gloo::float16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:199:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:201:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 201 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::wait() [with T = gloo::float16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:206:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:207:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 207 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostReduce >::runAsync() [with T = gloo::float16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:108:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:111:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 111 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:116:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::runAsync() [with T = double]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:199:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:201:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 201 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::wait() [with T = double]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:206:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:207:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 207 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostReduce >::runAsync() [with T = double]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:108:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:111:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 111 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:116:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::runAsync() [with T = float]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:199:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:201:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 201 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::wait() [with T = float]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:206:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:207:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 207 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostReduce >::runAsync() [with T = float]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:108:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:111:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 111 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:116:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::runAsync() [with T = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:199:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:201:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 201 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::wait() [with T = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:206:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:207:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 207 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostReduce >::runAsync() [with T = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:108:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:111:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 111 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:116:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::runAsync() [with T = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:199:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:201:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 201 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::wait() [with T = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:206:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:207:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 207 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostReduce >::runAsync() [with T = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:108:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:111:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 111 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:116:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::runAsync() [with T = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:199:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:201:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 201 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::wait() [with T = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:206:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:207:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 207 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostReduce >::runAsync() [with T = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:108:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:111:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 111 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:116:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::runAsync() [with T = unsigned char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:199:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:201:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 201 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::wait() [with T = unsigned char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:206:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:207:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 207 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostReduce >::runAsync() [with T = unsigned char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:108:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:111:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 111 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:116:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::runAsync() [with T = signed char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:199:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:201:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 201 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::wait() [with T = signed char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:206:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:207:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 207 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostReduce >::runAsync() [with T = signed char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:108:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:111:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 111 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:116:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::runAsync() [with T = gloo::float16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:199:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:201:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 201 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::wait() [with T = gloo::float16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:206:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:207:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 207 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostReduce >::runAsync() [with T = gloo::float16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:108:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:111:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 111 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:116:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::runAsync() [with T = double]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:199:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:201:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 201 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::wait() [with T = double]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:206:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:207:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 207 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostReduce >::runAsync() [with T = double]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:108:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:111:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 111 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:116:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::runAsync() [with T = float]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:199:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:201:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 201 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::wait() [with T = float]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:206:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:207:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 207 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostReduce >::runAsync() [with T = float]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:108:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:111:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 111 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:116:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::runAsync() [with T = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:199:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:201:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 201 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::wait() [with T = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:206:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:207:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 207 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostReduce >::runAsync() [with T = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:108:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:111:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 111 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:116:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::runAsync() [with T = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:199:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:201:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 201 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::wait() [with T = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:206:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:207:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 207 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostReduce >::runAsync() [with T = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:108:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:111:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 111 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:116:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::runAsync() [with T = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:199:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:201:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 201 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::wait() [with T = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:206:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:207:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 207 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostReduce >::runAsync() [with T = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:108:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:111:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 111 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:116:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::runAsync() [with T = unsigned char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:199:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:201:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 201 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::wait() [with T = unsigned char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:206:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:207:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 207 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostReduce >::runAsync() [with T = unsigned char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:108:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:111:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 111 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:116:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::runAsync() [with T = signed char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:199:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:201:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 201 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::wait() [with T = signed char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:206:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:207:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 207 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostReduce >::runAsync() [with T = signed char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:108:16: required from here 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caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/DistributionGeometricKernel.cu.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorImpl.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/c10/core/GeneratorImpl.h:8, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/core/Generator.h:22, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/CPUGeneratorImpl.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/Context.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/ATen.h:7, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/distributed/c10d/Backend.hpp:11, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/distributed/c10d/ProcessGroupNCCL.hpp:13, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/distributed/c10d/ProcessGroupNCCL.cpp:2: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h: In function ‘c10::DispatchKey c10::computeDispatchKey(optional, optional, optional)’: 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caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/modified_bessel_i1.cu.o [ 93%] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/modified_bessel_k0.cu.o [ 93%] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/modified_bessel_k1.cu.o [ 94%] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/scaled_modified_bessel_k0.cu.o [ 94%] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/scaled_modified_bessel_k1.cu.o [ 94%] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/shifted_chebyshev_polynomial_t.cu.o [ 94%] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/shifted_chebyshev_polynomial_u.cu.o [ 94%] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/shifted_chebyshev_polynomial_v.cu.o [ 94%] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/shifted_chebyshev_polynomial_w.cu.o [ 94%] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/spherical_bessel_j0.cu.o [ 94%] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/nested/cuda/NestedTensorBinaryOps.cu.o [ 94%] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/nested/cuda/NestedTensorMatmul.cu.o [ 94%] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/nested/cuda/NestedTensorTransformerFunctions.cu.o [ 94%] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/sparse/cuda/SoftMax.cu.o [ 94%] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/sparse/cuda/SparseCUDATensor.cu.o [ 94%] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/sparse/cuda/SparseCUDATensorMath.cu.o [ 94%] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/sparse/cuda/SparseCsrTensorMath.cu.o [ 94%] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/sparse/cuda/SparseMatMul.cu.o [ 94%] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/quantized/cuda/Activation.cu.o [ 94%] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/quantized/cuda/AffineQuantizer.cu.o [ 94%] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/quantized/cuda/EmbeddingBag.cu.o [ 94%] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/quantized/cuda/FakeQuantizeCore.cu.o [ 94%] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/quantized/cuda/FusedObsFakeQuant.cu.o [ 94%] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/quantized/cuda/IntReprQuant.cu.o [ 94%] Building CUDA object 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caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/transformers/cuda/mem_eff_attention/kernels/backward_f32_k128.cu.o [ 94%] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/transformers/cuda/mem_eff_attention/kernels/backward_f32_k64.cu.o [ 94%] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/transformers/cuda/mem_eff_attention/kernels/forward_bf16.cu.o [ 94%] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/transformers/cuda/mem_eff_attention/kernels/forward_bf16_aligned.cu.o [ 94%] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/transformers/cuda/mem_eff_attention/kernels/forward_f16.cu.o [ 94%] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/transformers/cuda/mem_eff_attention/kernels/forward_f16_aligned.cu.o [ 94%] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/transformers/cuda/mem_eff_attention/kernels/forward_f32.cu.o [ 94%] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/transformers/cuda/mem_eff_attention/kernels/forward_f32_aligned.cu.o [ 94%] Building CXX object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/RegisterCUDA.cpp.o [ 94%] Building CXX object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/RegisterNestedTensorCUDA.cpp.o [ 94%] Building CXX object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/RegisterQuantizedCUDA.cpp.o [ 94%] Building CXX object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/RegisterSparseCUDA.cpp.o [ 94%] Building CXX object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/RegisterSparseCsrCUDA.cpp.o [ 94%] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/UfuncCUDA_add.cu.o [ 94%] Building CXX object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/cuda/CUDABlas.cpp.o [ 94%] Building CXX object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/cuda/CUDASparseBlas.cpp.o [ 94%] Building CXX object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/cuda/CublasHandlePool.cpp.o [ 94%] Building CXX object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/Activation.cpp.o [ 94%] Building CXX object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/LinearAlgebraStubs.cpp.o [ 94%] Building CXX object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/Blas.cpp.o [ 95%] Building CXX object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/Distributions.cpp.o [ 95%] Building CXX object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/Equal.cpp.o [ 95%] Building CXX object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/GridSampler.cpp.o [ 95%] Building CXX object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/IndexKernel.cpp.o [ 95%] Building CXX object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/ReduceOps.cpp.o [ 95%] Building CXX object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/ScanKernels.cpp.o [ 95%] Building CXX object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/Sort.cpp.o [ 95%] Building CXX object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/Sorting.cpp.o [ 95%] Building CXX object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/TensorModeKernel.cpp.o [ 95%] Building CXX object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/TensorShapeCUDA.cpp.o [ 95%] Building CXX object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/TensorTopK.cpp.o [ 95%] Building CXX object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/jit_utils.cpp.o [ 95%] Building CXX object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/nested/cuda/NestedTensorTransformerFunctions.cpp.o [ 95%] Building CXX object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/sparse/cuda/SparseBlas.cpp.o [ 95%] Building CXX object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/sparse/cuda/SparseBlasImpl.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorImpl.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/build/aten/src/ATen/core/TensorBody.h:20, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/core/Tensor.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/cuda/Sorting.cpp:3: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h: In function ‘c10::DispatchKey c10::computeDispatchKey(optional, optional, optional)’: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:666:5: warning: this statement may fall through [-Wimplicit-fallthrough=] 666 | } | ^ /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:667:5: note: here 667 | case Layout::Sparse: | ^~~~ [ 95%] Building CXX object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/sparse/cuda/SparseBlasLegacy.cpp.o [ 95%] Building CXX object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/sparse/cuda/SparseCUDABlas.cpp.o [ 95%] Building CXX object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/transformers/cuda/flash_attn/fmha_api.cpp.o [ 95%] Building CXX object caffe2/CMakeFiles/torch_cuda.dir/__/torch/csrc/CudaIPCTypes.cpp.o [ 95%] Building CXX object caffe2/CMakeFiles/torch_cuda.dir/__/torch/csrc/cuda/comm.cpp.o [ 95%] Building CXX object caffe2/CMakeFiles/torch_cuda.dir/__/torch/csrc/cuda/memory_snapshot.cpp.o [ 95%] Building CXX object caffe2/CMakeFiles/torch_cuda.dir/__/torch/csrc/jit/codegen/fuser/cuda/fused_kernel.cpp.o [ 95%] Building CXX object caffe2/CMakeFiles/torch_cuda.dir/__/torch/csrc/profiler/stubs/cuda.cpp.o [ 95%] Building CXX object caffe2/CMakeFiles/torch_cuda.dir/__/torch/csrc/autograd/functions/comm.cpp.o [ 95%] Building CXX object caffe2/CMakeFiles/torch_cuda.dir/__/torch/csrc/jit/passes/frozen_conv_add_relu_fusion_cuda.cpp.o [ 95%] Building CXX object caffe2/CMakeFiles/torch_cuda.dir/__/torch/csrc/jit/tensorexpr/cuda_codegen.cpp.o [ 95%] Building CXX object caffe2/CMakeFiles/torch_cuda.dir/__/torch/csrc/jit/runtime/register_cuda_ops.cpp.o [ 95%] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/Unique.cu.o /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/transformers/cuda/flash_attn/fmha_api.cpp: In function ‘void fmha::set_params_fprop(FMHA_fprop_params&, size_t, size_t, size_t, size_t, size_t, at::Tensor, at::Tensor, at::Tensor, at::Tensor, void*, void*, void*, void*, void*, float, float, bool, int)’: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/transformers/cuda/flash_attn/fmha_api.cpp:72:11: warning: ‘void* memset(void*, int, size_t)’ clearing an object of non-trivial type ‘struct FMHA_fprop_params’; use assignment or value-initialization instead [-Wclass-memaccess] 72 | memset(¶ms, 0, sizeof(params)); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/transformers/cuda/flash_attn/fmha_api.cpp:38: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/transformers/cuda/flash_attn/fmha.h:75:8: note: ‘struct FMHA_fprop_params’ declared here 75 | struct FMHA_fprop_params : public Qkv_params { | ^~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorImpl.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/c10/core/GeneratorImpl.h:8, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/core/Generator.h:22, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/CPUGeneratorImpl.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/Context.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/ATen.h:7, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/cuda/comm.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/cuda/comm.cpp:1: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h: In function ‘c10::DispatchKey c10::computeDispatchKey(optional, optional, optional)’: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:666:5: warning: this statement may fall through [-Wimplicit-fallthrough=] 666 | } | ^ /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:667:5: note: here 667 | case Layout::Sparse: | ^~~~ [ 95%] Linking CXX shared library ../lib/libtorch_cuda.so [ 95%] Built target torch_cuda [ 95%] Building CXX object caffe2/CMakeFiles/torch.dir/__/empty.cpp.o [ 95%] Building CXX object caffe2/CMakeFiles/torch_cuda_linalg.dir/__/aten/src/ATen/native/cuda/linalg/BatchLinearAlgebra.cpp.o [ 95%] Building CXX object caffe2/CMakeFiles/torch_cuda_linalg.dir/__/aten/src/ATen/native/cuda/linalg/BatchLinearAlgebraLib.cpp.o [ 95%] Building CXX object caffe2/CMakeFiles/torch_cuda_linalg.dir/__/aten/src/ATen/native/cuda/linalg/CUDASolver.cpp.o [ 95%] Building CXX object caffe2/CMakeFiles/torch_cuda_linalg.dir/__/aten/src/ATen/native/cuda/linalg/CusolverDnHandlePool.cpp.o [ 95%] Linking CXX shared library ../lib/libtorch.so [ 95%] Built target torch [ 95%] Building CXX object caffe2/torch/lib/libshm/CMakeFiles/shm.dir/core.cpp.o [ 95%] Building CXX object third_party/nvfuser/CMakeFiles/nvfuser_codegen.dir/csrc/codegen.cpp.o [ 95%] Building CXX object third_party/nvfuser/CMakeFiles/nvfuser_codegen.dir/csrc/arith.cpp.o [ 95%] Building CXX object third_party/nvfuser/CMakeFiles/nvfuser_codegen.dir/csrc/compute_at.cpp.o [ 95%] Building CXX object third_party/nvfuser/CMakeFiles/nvfuser_codegen.dir/csrc/inlining.cpp.o [ 95%] Building CXX object third_party/nvfuser/CMakeFiles/nvfuser_codegen.dir/csrc/compute_at_map.cpp.o [ 95%] Building CXX object third_party/nvfuser/CMakeFiles/nvfuser_codegen.dir/csrc/contiguity.cpp.o [ 95%] Building CXX object third_party/nvfuser/CMakeFiles/nvfuser_codegen.dir/csrc/dispatch.cpp.o [ 95%] Building CXX object third_party/nvfuser/CMakeFiles/nvfuser_codegen.dir/csrc/expr_evaluator.cpp.o [ 95%] Building CXX object third_party/nvfuser/CMakeFiles/nvfuser_codegen.dir/csrc/executor.cpp.o [ 95%] Building CXX object third_party/nvfuser/CMakeFiles/nvfuser_codegen.dir/csrc/kernel_expr_evaluator.cpp.o [ 95%] Building CXX object third_party/nvfuser/CMakeFiles/nvfuser_codegen.dir/csrc/executor_kernel_arg.cpp.o [ 95%] Building CXX object third_party/nvfuser/CMakeFiles/nvfuser_codegen.dir/csrc/executor_launch_params.cpp.o [ 95%] Building CXX object third_party/nvfuser/CMakeFiles/nvfuser_codegen.dir/csrc/evaluator_common.cpp.o [ 95%] Building CXX object third_party/nvfuser/CMakeFiles/nvfuser_codegen.dir/csrc/index_compute.cpp.o [ 95%] Building CXX object third_party/nvfuser/CMakeFiles/nvfuser_codegen.dir/csrc/executor_utils.cpp.o [ 95%] Building CXX object 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Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/jit/passes/onnx/peephole.cpp.o [ 97%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/jit/passes/onnx/preprocess_for_onnx.cpp.o [ 97%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/jit/passes/onnx/prepare_division_for_onnx.cpp.o [ 97%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/jit/passes/onnx/scalar_type_analysis.cpp.o [ 97%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/jit/passes/onnx/unpack_quantized_weights.cpp.o [ 97%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/jit/passes/onnx/remove_inplace_ops_for_onnx.cpp.o [ 97%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/jit/passes/onnx/shape_type_inference.cpp.o [ 97%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/jit/passes/onnx/function_extraction.cpp.o [ 97%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/jit/passes/onnx/onnx_log.cpp.o [ 97%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/jit/passes/onnx/naming.cpp.o [ 97%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/jit/python/pybind_utils.cpp.o [ 97%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/jit/passes/onnx/pattern_conversion/autograd_function_process.cpp.o [ 97%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/jit/passes/onnx/pattern_conversion/common.cpp.o [ 97%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/jit/passes/onnx/pattern_conversion/pattern_encapsulation.cpp.o [ 97%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/jit/passes/onnx/pattern_conversion/pattern_conversion.cpp.o [ 97%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/jit/python/python_arg_flatten.cpp.o [ 97%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/jit/python/python_custom_class.cpp.o [ 97%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/jit/python/python_dict.cpp.o [ 97%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/jit/python/python_interpreter.cpp.o [ 97%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/jit/python/python_ir.cpp.o [ 97%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/jit/python/python_list.cpp.o [ 97%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/jit/python/python_tracer.cpp.o [ 97%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/jit/python/script_init.cpp.o [ 97%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/jit/frontend/concrete_module_type.cpp.o [ 97%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/jit/frontend/tree_views.cpp.o [ 97%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/jit/python/python_sugared_value.cpp.o [ 97%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/jit/python/python_tree_views.cpp.o [ 97%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/jit/runtime/static/init.cpp.o [ 97%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/jit/tensorexpr/tensorexpr_init.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/monitor/python_init.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/multiprocessing/init.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/onnx/init.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/profiler/python/init.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/serialization.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/tensor/python_tensor.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/utils/init.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/utils/throughput_benchmark.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/utils.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/utils/cuda_lazy_init.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/utils/invalid_arguments.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/utils/nested.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/utils/object_ptr.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/utils/python_arg_parser.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/utils/python_dispatch.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/utils/python_symnode.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/utils/pybind.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/utils/structseq.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/utils/tensor_apply.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/utils/tensor_dtypes.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/utils/tensor_layouts.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/utils/tensor_memoryformats.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/utils/tensor_qschemes.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/utils/tensor_list.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/utils/tensor_new.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/utils/tensor_numpy.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/utils/tensor_types.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/utils/disable_torch_function.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/utils/verbose.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/lazy/python/init.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/lazy/python/python_util.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/init_flatbuffer_module.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorImpl.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/core/NamedTensor.h:4, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/NamedTensor.h:1, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/NamedTensorUtils.h:2, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/python_variable.cpp:1: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h: In function ‘c10::DispatchKey c10::computeDispatchKey(optional, optional, optional)’: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:666:5: warning: this statement may fall through [-Wimplicit-fallthrough=] 666 | } | ^ /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:667:5: note: here 667 | case Layout::Sparse: | ^~~~ [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/itt.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/cuda/Event.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/cuda/Module.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/cuda/python_comm.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/cuda/Stream.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/cuda/Graph.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/cuda/shared/cudart.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/cuda/shared/nvtx.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/cuda/utils.cpp.o [ 98%] Linking CXX shared library ../../lib/libnvfuser_codegen.so In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/core/DeprecatedTypeProperties.h:6, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/utils/tensor_types.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/utils/tensor_types.cpp:3: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h: In function ‘c10::DispatchKey c10::computeDispatchKey(optional, optional, optional)’: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:666:5: warning: this statement may fall through [-Wimplicit-fallthrough=] 666 | } | ^ /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:667:5: note: here 667 | case Layout::Sparse: | ^~~~ [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/cuda/CUDAPluggableAllocator.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/cuda/shared/cudnn.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/distributed/c10d/init.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/distributed/c10d/python_comm_hook.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/distributed/autograd/init.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/distributed/rpc/init.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/distributed/rpc/py_rref.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/distributed/rpc/python_functions.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/distributed/rpc/python_rpc_handler.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/distributed/rpc/request_callback_impl.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/distributed/rpc/testing/init.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/distributed/rpc/unpickled_python_call.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/distributed/rpc/unpickled_python_remote_call.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/jit/runtime/register_distributed_ops.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/cuda/python_nccl.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorImpl.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/build/aten/src/ATen/core/TensorBody.h:20, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/core/Tensor.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/utils/tensor_apply.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/utils/tensor_apply.cpp:1: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h: In function ‘c10::DispatchKey c10::computeDispatchKey(optional, optional, optional)’: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:666:5: warning: this statement may fall through [-Wimplicit-fallthrough=] 666 | } | ^ /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:667:5: note: here 667 | case Layout::Sparse: | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/cuda/Module.cpp: In static member function ‘static std::shared_ptr StackContext::gather_with_cpp()’: /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/cuda/Module.cpp:634:21: warning: redundant move in return statement [-Wredundant-move] 634 | return std::move(r); | ~~~~~~~~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/cuda/Module.cpp:634:21: note: remove ‘std::move’ call [ 98%] Built target nvfuser_codegen In file included from /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorImpl.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/build/aten/src/ATen/core/TensorBody.h:20, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/core/Tensor.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/utils/pybind.h:5, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/Exceptions.h:19, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/utils/python_arg_parser.h:48, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/utils/tensor_new.h:4, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/utils/tensor_new.cpp:2: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h: In function ‘c10::DispatchKey c10::computeDispatchKey(optional, optional, optional)’: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:666:5: warning: this statement may fall through [-Wimplicit-fallthrough=] 666 | } | ^ /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:667:5: note: here 667 | case Layout::Sparse: | ^~~~ [ 98%] Linking CXX shared library ../../lib/libtorch_python.so [ 98%] Built target torch_python [ 98%] Building CXX object caffe2/torch/CMakeFiles/nnapi_backend.dir/csrc/jit/backends/nnapi/nnapi_backend_lib.cpp.o [100%] Building CXX object third_party/nvfuser/CMakeFiles/nvfuser.dir/csrc/python_frontend/python_bindings.cpp.o [100%] Building CXX object caffe2/torch/CMakeFiles/nnapi_backend.dir/csrc/jit/backends/nnapi/nnapi_backend_preprocess.cpp.o [100%] Building CXX object third_party/nvfuser/CMakeFiles/nvfuser.dir/csrc/python_frontend/python_bindings_extension.cpp.o [100%] Building CXX object functorch/CMakeFiles/functorch.dir/csrc/dim/dim.cpp.o [100%] Building CXX object functorch/CMakeFiles/functorch.dir/csrc/init_dim_only.cpp.o [100%] Linking CXX shared library ../../lib/libnnapi_backend.so [100%] Built target nnapi_backend [100%] Linking CXX shared module functorch.so [100%] Built target functorch [100%] Linking CXX shared module ../../nvfuser/nvfuser.so [100%] Built target nvfuser Install the project... -- Install configuration: "Release" -- Set runtime path of "/builddir/build/BUILD/pytorch-v2.0.1/torch/bin/protoc-3.13.0.0" to "$ORIGIN/../lib64" -- Set runtime path of "/builddir/build/BUILD/pytorch-v2.0.1/torch/lib/libc10_cuda.so" to "$ORIGIN:/usr/local/cuda/lib64" -- Set runtime path of "/builddir/build/BUILD/pytorch-v2.0.1/torch/lib/libc10.so" to "$ORIGIN" -- Set runtime path of "/builddir/build/BUILD/pytorch-v2.0.1/torch/lib/libcaffe2_nvrtc.so" to "$ORIGIN:/usr/local/cuda/lib64/stubs:/usr/local/cuda/lib64" -- Set runtime path of "/builddir/build/BUILD/pytorch-v2.0.1/torch/lib/libtorch_cuda_linalg.so" to "$ORIGIN:/usr/local/cuda/lib64" -- Set runtime path of "/builddir/build/BUILD/pytorch-v2.0.1/torch/lib/libshm.so" to "$ORIGIN:/usr/local/cuda/lib64" -- Set runtime path of "/builddir/build/BUILD/pytorch-v2.0.1/torch/bin/torch_shm_manager" to "$ORIGIN/../lib:/usr/local/cuda/lib64" -- Set runtime path of "/builddir/build/BUILD/pytorch-v2.0.1/torch/lib/libtorch_python.so" to "$ORIGIN:/usr/local/cuda/lib64" -- Set runtime path of "/builddir/build/BUILD/pytorch-v2.0.1/torch/lib/libtorch_cpu.so" to "$ORIGIN:/usr/local/cuda/lib64" -- Set runtime path of "/builddir/build/BUILD/pytorch-v2.0.1/torch/lib/libtorch_cuda.so" to "$ORIGIN:/usr/local/cuda/lib64" -- Set runtime path of "/builddir/build/BUILD/pytorch-v2.0.1/torch/lib/libtorch.so" to "$ORIGIN:/usr/local/cuda/lib64" -- Set runtime path of "/builddir/build/BUILD/pytorch-v2.0.1/torch/lib/libtorch_global_deps.so" to "$ORIGIN:/usr/local/cuda/lib64" -- Set runtime path of "/builddir/build/BUILD/pytorch-v2.0.1/third_party/nvfuser/../../torch/lib/libnvfuser_codegen.so" to "$ORIGIN:/usr/local/cuda/lib64" -- Set runtime path of "/builddir/build/BUILD/pytorch-v2.0.1/third_party/nvfuser/../../nvfuser/nvfuser.so" to "$ORIGIN/../torch/lib:/usr/local/cuda/lib64" -- Set runtime path of "/builddir/build/BUILD/pytorch-v2.0.1/functorch/functorch.so" to "$ORIGIN/../torch/lib:/usr/local/cuda/lib64" Building wheel torch-2.0.1 -- Building version 2.0.1 cmake3 -DBUILD_PYTHON=True -DBUILD_TEST=False -DCMAKE_BUILD_TYPE=Release -DCMAKE_CUDA_COMPILER=/usr/local/cuda-12.1/bin/nvcc -DCMAKE_INSTALL_PREFIX=/builddir/build/BUILD/pytorch-v2.0.1/torch -DCMAKE_PREFIX_PATH=/usr/lib/python3.10/site-packages -DCUDA_NVCC_EXECUTABLE=/usr/local/cuda-12.1/bin/nvcc -DNUMPY_INCLUDE_DIR=/usr/lib64/python3.10/site-packages/numpy/core/include -DPYTHON_EXECUTABLE=/usr/bin/python3 -DPYTHON_INCLUDE_DIR=/usr/include/python3.10 -DPYTHON_LIBRARY=/usr/lib64/libpython3.10.so.1.0 -DTORCH_BUILD_VERSION=2.0.1 -DUSE_NUMPY=True /builddir/build/BUILD/pytorch-v2.0.1 cmake3 --build . --target install --config Release -- -j 80 running build running build_py creating build/lib.linux-x86_64-cpython-310 creating build/lib.linux-x86_64-cpython-310/torch copying torch/types.py -> build/lib.linux-x86_64-cpython-310/torch copying torch/_deploy.py -> build/lib.linux-x86_64-cpython-310/torch copying torch/hub.py -> build/lib.linux-x86_64-cpython-310/torch copying torch/storage.py -> build/lib.linux-x86_64-cpython-310/torch copying torch/_sources.py -> build/lib.linux-x86_64-cpython-310/torch copying torch/_classes.py -> build/lib.linux-x86_64-cpython-310/torch copying torch/torch_version.py -> build/lib.linux-x86_64-cpython-310/torch copying torch/_lobpcg.py -> build/lib.linux-x86_64-cpython-310/torch copying torch/_torch_docs.py -> build/lib.linux-x86_64-cpython-310/torch copying torch/quasirandom.py -> build/lib.linux-x86_64-cpython-310/torch copying torch/serialization.py -> build/lib.linux-x86_64-cpython-310/torch copying torch/_lowrank.py -> build/lib.linux-x86_64-cpython-310/torch copying torch/_weights_only_unpickler.py -> build/lib.linux-x86_64-cpython-310/torch copying torch/functional.py -> build/lib.linux-x86_64-cpython-310/torch copying torch/__future__.py -> build/lib.linux-x86_64-cpython-310/torch copying torch/_VF.py -> build/lib.linux-x86_64-cpython-310/torch copying torch/__config__.py -> build/lib.linux-x86_64-cpython-310/torch copying torch/_utils.py -> build/lib.linux-x86_64-cpython-310/torch copying torch/overrides.py -> build/lib.linux-x86_64-cpython-310/torch copying torch/_utils_internal.py -> build/lib.linux-x86_64-cpython-310/torch copying torch/_meta_registrations.py -> build/lib.linux-x86_64-cpython-310/torch copying torch/_vmap_internals.py -> build/lib.linux-x86_64-cpython-310/torch copying torch/library.py -> build/lib.linux-x86_64-cpython-310/torch copying torch/_storage_docs.py -> build/lib.linux-x86_64-cpython-310/torch copying torch/__init__.py -> build/lib.linux-x86_64-cpython-310/torch copying torch/_guards.py -> build/lib.linux-x86_64-cpython-310/torch copying torch/_ops.py -> build/lib.linux-x86_64-cpython-310/torch copying torch/_jit_internal.py -> build/lib.linux-x86_64-cpython-310/torch copying torch/return_types.py -> build/lib.linux-x86_64-cpython-310/torch copying torch/_appdirs.py -> build/lib.linux-x86_64-cpython-310/torch copying torch/_tensor_str.py -> build/lib.linux-x86_64-cpython-310/torch copying torch/_tensor_docs.py -> build/lib.linux-x86_64-cpython-310/torch copying torch/_tensor.py -> build/lib.linux-x86_64-cpython-310/torch copying torch/_linalg_utils.py -> build/lib.linux-x86_64-cpython-310/torch copying torch/_namedtensor_internals.py -> build/lib.linux-x86_64-cpython-310/torch copying torch/random.py -> build/lib.linux-x86_64-cpython-310/torch copying torch/_python_dispatcher.py -> build/lib.linux-x86_64-cpython-310/torch copying torch/version.py -> build/lib.linux-x86_64-cpython-310/torch creating build/lib.linux-x86_64-cpython-310/nvfuser copying nvfuser/__init__.py -> build/lib.linux-x86_64-cpython-310/nvfuser creating build/lib.linux-x86_64-cpython-310/torchgen copying torchgen/gen_backend_stubs.py -> build/lib.linux-x86_64-cpython-310/torchgen copying torchgen/utils.py -> build/lib.linux-x86_64-cpython-310/torchgen copying torchgen/native_function_generation.py -> build/lib.linux-x86_64-cpython-310/torchgen copying torchgen/context.py -> build/lib.linux-x86_64-cpython-310/torchgen copying torchgen/gen_vmap_plumbing.py -> build/lib.linux-x86_64-cpython-310/torchgen copying torchgen/gen.py -> build/lib.linux-x86_64-cpython-310/torchgen copying torchgen/code_template.py -> build/lib.linux-x86_64-cpython-310/torchgen copying torchgen/__init__.py -> build/lib.linux-x86_64-cpython-310/torchgen copying torchgen/local.py -> build/lib.linux-x86_64-cpython-310/torchgen copying torchgen/model.py -> build/lib.linux-x86_64-cpython-310/torchgen copying torchgen/gen_executorch.py -> build/lib.linux-x86_64-cpython-310/torchgen copying torchgen/gen_lazy_tensor.py -> build/lib.linux-x86_64-cpython-310/torchgen copying torchgen/gen_functionalization_type.py -> build/lib.linux-x86_64-cpython-310/torchgen creating build/lib.linux-x86_64-cpython-310/functorch copying functorch/__init__.py -> build/lib.linux-x86_64-cpython-310/functorch creating build/lib.linux-x86_64-cpython-310/torch/_inductor copying torch/_inductor/lowering.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor copying torch/_inductor/utils.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor copying torch/_inductor/mkldnn.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor copying torch/_inductor/fx_utils.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor copying torch/_inductor/optimize_indexing.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor copying torch/_inductor/codecache.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor copying torch/_inductor/virtualized.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor copying torch/_inductor/exc.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor copying torch/_inductor/ir.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor copying torch/_inductor/debug.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor copying torch/_inductor/pattern_matcher.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor copying torch/_inductor/scheduler.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor copying torch/_inductor/cuda_properties.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor copying torch/_inductor/overrides.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor copying torch/_inductor/test_operators.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor copying torch/_inductor/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor copying torch/_inductor/decomposition.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor copying torch/_inductor/graph.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor copying torch/_inductor/config.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor copying torch/_inductor/compile_fx.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor copying torch/_inductor/sizevars.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor copying torch/_inductor/dependencies.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor copying torch/_inductor/select_algorithm.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor copying torch/_inductor/metrics.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor creating build/lib.linux-x86_64-cpython-310/torch/sparse copying torch/sparse/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/sparse creating build/lib.linux-x86_64-cpython-310/torch/masked copying torch/masked/_docs.py -> build/lib.linux-x86_64-cpython-310/torch/masked copying torch/masked/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/masked copying torch/masked/_ops.py -> build/lib.linux-x86_64-cpython-310/torch/masked creating build/lib.linux-x86_64-cpython-310/torch/_prims_common copying torch/_prims_common/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/_prims_common copying torch/_prims_common/wrappers.py -> build/lib.linux-x86_64-cpython-310/torch/_prims_common creating build/lib.linux-x86_64-cpython-310/torch/func copying torch/func/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/func creating build/lib.linux-x86_64-cpython-310/torch/_functorch copying torch/_functorch/pytree_hacks.py -> build/lib.linux-x86_64-cpython-310/torch/_functorch copying torch/_functorch/functional_call.py -> build/lib.linux-x86_64-cpython-310/torch/_functorch copying torch/_functorch/utils.py -> build/lib.linux-x86_64-cpython-310/torch/_functorch copying torch/_functorch/python_key.py -> build/lib.linux-x86_64-cpython-310/torch/_functorch copying torch/_functorch/aot_autograd.py -> build/lib.linux-x86_64-cpython-310/torch/_functorch copying torch/_functorch/benchmark_utils.py -> build/lib.linux-x86_64-cpython-310/torch/_functorch copying torch/_functorch/compilers.py -> build/lib.linux-x86_64-cpython-310/torch/_functorch copying torch/_functorch/autograd_function.py -> build/lib.linux-x86_64-cpython-310/torch/_functorch copying torch/_functorch/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/_functorch copying torch/_functorch/make_functional.py -> build/lib.linux-x86_64-cpython-310/torch/_functorch copying torch/_functorch/eager_transforms.py -> build/lib.linux-x86_64-cpython-310/torch/_functorch copying torch/_functorch/config.py -> build/lib.linux-x86_64-cpython-310/torch/_functorch copying torch/_functorch/fx_minifier.py -> build/lib.linux-x86_64-cpython-310/torch/_functorch copying torch/_functorch/pyfunctorch.py -> build/lib.linux-x86_64-cpython-310/torch/_functorch copying torch/_functorch/top_operators_github_usage.py -> build/lib.linux-x86_64-cpython-310/torch/_functorch copying torch/_functorch/partitioners.py -> build/lib.linux-x86_64-cpython-310/torch/_functorch copying torch/_functorch/batch_norm_replacement.py -> build/lib.linux-x86_64-cpython-310/torch/_functorch copying torch/_functorch/deprecated.py -> build/lib.linux-x86_64-cpython-310/torch/_functorch copying torch/_functorch/vmap.py -> build/lib.linux-x86_64-cpython-310/torch/_functorch copying torch/_functorch/compile_utils.py -> build/lib.linux-x86_64-cpython-310/torch/_functorch creating build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/half_cauchy.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/categorical.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/gumbel.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/continuous_bernoulli.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/pareto.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/utils.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/kl.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/one_hot_categorical.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/lowrank_multivariate_normal.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/lkj_cholesky.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/beta.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/dirichlet.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/multinomial.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/gamma.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/kumaraswamy.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/exponential.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/independent.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/normal.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/cauchy.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/distribution.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/relaxed_categorical.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/transforms.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/transformed_distribution.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/constraint_registry.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/relaxed_bernoulli.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/von_mises.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/half_normal.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/chi2.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/weibull.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/mixture_same_family.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/negative_binomial.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/constraints.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/geometric.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/fishersnedecor.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/binomial.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/log_normal.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/uniform.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/bernoulli.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/exp_family.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/wishart.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/poisson.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/laplace.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/logistic_normal.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/studentT.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/multivariate_normal.py -> build/lib.linux-x86_64-cpython-310/torch/distributions creating build/lib.linux-x86_64-cpython-310/torch/_lazy copying torch/_lazy/ts_backend.py -> build/lib.linux-x86_64-cpython-310/torch/_lazy copying torch/_lazy/tensor_factory_functions.py -> build/lib.linux-x86_64-cpython-310/torch/_lazy copying torch/_lazy/debug.py -> build/lib.linux-x86_64-cpython-310/torch/_lazy copying torch/_lazy/computation.py -> build/lib.linux-x86_64-cpython-310/torch/_lazy copying torch/_lazy/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/_lazy copying torch/_lazy/ir_cache.py -> build/lib.linux-x86_64-cpython-310/torch/_lazy copying torch/_lazy/config.py -> build/lib.linux-x86_64-cpython-310/torch/_lazy copying torch/_lazy/closure.py -> build/lib.linux-x86_64-cpython-310/torch/_lazy copying torch/_lazy/extract_compiled_graph.py -> build/lib.linux-x86_64-cpython-310/torch/_lazy copying torch/_lazy/device_context.py -> build/lib.linux-x86_64-cpython-310/torch/_lazy copying torch/_lazy/metrics.py -> build/lib.linux-x86_64-cpython-310/torch/_lazy creating build/lib.linux-x86_64-cpython-310/torch/_dispatch copying torch/_dispatch/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/_dispatch copying torch/_dispatch/python.py -> build/lib.linux-x86_64-cpython-310/torch/_dispatch creating build/lib.linux-x86_64-cpython-310/torch/nn copying torch/nn/init.py -> build/lib.linux-x86_64-cpython-310/torch/nn copying torch/nn/grad.py -> build/lib.linux-x86_64-cpython-310/torch/nn copying torch/nn/_reduction.py -> build/lib.linux-x86_64-cpython-310/torch/nn copying torch/nn/cpp.py -> build/lib.linux-x86_64-cpython-310/torch/nn copying torch/nn/functional.py -> build/lib.linux-x86_64-cpython-310/torch/nn copying torch/nn/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/nn copying torch/nn/common_types.py -> build/lib.linux-x86_64-cpython-310/torch/nn copying torch/nn/parameter.py -> build/lib.linux-x86_64-cpython-310/torch/nn creating build/lib.linux-x86_64-cpython-310/torch/contrib copying torch/contrib/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/contrib copying torch/contrib/_tensorboard_vis.py -> build/lib.linux-x86_64-cpython-310/torch/contrib creating build/lib.linux-x86_64-cpython-310/torch/_refs copying torch/_refs/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/_refs copying torch/_refs/_conversions.py -> build/lib.linux-x86_64-cpython-310/torch/_refs copying torch/_refs/fft.py -> build/lib.linux-x86_64-cpython-310/torch/_refs creating build/lib.linux-x86_64-cpython-310/torch/ao copying torch/ao/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao creating build/lib.linux-x86_64-cpython-310/torch/autograd copying torch/autograd/profiler_legacy.py -> build/lib.linux-x86_64-cpython-310/torch/autograd copying torch/autograd/forward_ad.py -> build/lib.linux-x86_64-cpython-310/torch/autograd copying torch/autograd/variable.py -> build/lib.linux-x86_64-cpython-310/torch/autograd copying torch/autograd/functional.py -> build/lib.linux-x86_64-cpython-310/torch/autograd copying torch/autograd/profiler_util.py -> build/lib.linux-x86_64-cpython-310/torch/autograd copying torch/autograd/anomaly_mode.py -> build/lib.linux-x86_64-cpython-310/torch/autograd copying torch/autograd/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/autograd copying torch/autograd/grad_mode.py -> build/lib.linux-x86_64-cpython-310/torch/autograd copying torch/autograd/profiler.py -> build/lib.linux-x86_64-cpython-310/torch/autograd copying torch/autograd/graph.py -> build/lib.linux-x86_64-cpython-310/torch/autograd copying torch/autograd/gradcheck.py -> build/lib.linux-x86_64-cpython-310/torch/autograd copying torch/autograd/function.py -> build/lib.linux-x86_64-cpython-310/torch/autograd creating build/lib.linux-x86_64-cpython-310/torch/backends copying torch/backends/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/backends creating build/lib.linux-x86_64-cpython-310/torch/optim copying torch/optim/adadelta.py -> build/lib.linux-x86_64-cpython-310/torch/optim copying torch/optim/lbfgs.py -> build/lib.linux-x86_64-cpython-310/torch/optim copying torch/optim/rmsprop.py -> build/lib.linux-x86_64-cpython-310/torch/optim copying torch/optim/sgd.py -> build/lib.linux-x86_64-cpython-310/torch/optim copying torch/optim/optimizer.py -> build/lib.linux-x86_64-cpython-310/torch/optim copying torch/optim/_functional.py -> build/lib.linux-x86_64-cpython-310/torch/optim copying torch/optim/radam.py -> build/lib.linux-x86_64-cpython-310/torch/optim copying torch/optim/adamw.py -> build/lib.linux-x86_64-cpython-310/torch/optim copying torch/optim/rprop.py -> build/lib.linux-x86_64-cpython-310/torch/optim copying torch/optim/asgd.py -> build/lib.linux-x86_64-cpython-310/torch/optim copying torch/optim/swa_utils.py -> build/lib.linux-x86_64-cpython-310/torch/optim copying torch/optim/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/optim copying torch/optim/lr_scheduler.py -> build/lib.linux-x86_64-cpython-310/torch/optim copying torch/optim/adagrad.py -> build/lib.linux-x86_64-cpython-310/torch/optim copying torch/optim/nadam.py -> build/lib.linux-x86_64-cpython-310/torch/optim copying torch/optim/adamax.py -> build/lib.linux-x86_64-cpython-310/torch/optim copying torch/optim/sparse_adam.py -> build/lib.linux-x86_64-cpython-310/torch/optim copying torch/optim/adam.py -> build/lib.linux-x86_64-cpython-310/torch/optim creating build/lib.linux-x86_64-cpython-310/torch/jit copying torch/jit/_recursive.py -> build/lib.linux-x86_64-cpython-310/torch/jit copying torch/jit/frontend.py -> build/lib.linux-x86_64-cpython-310/torch/jit copying torch/jit/_async.py -> build/lib.linux-x86_64-cpython-310/torch/jit copying torch/jit/_trace.py -> build/lib.linux-x86_64-cpython-310/torch/jit copying torch/jit/_decomposition_utils.py -> build/lib.linux-x86_64-cpython-310/torch/jit copying torch/jit/unsupported_tensor_ops.py -> build/lib.linux-x86_64-cpython-310/torch/jit copying torch/jit/_decompositions.py -> build/lib.linux-x86_64-cpython-310/torch/jit copying torch/jit/annotations.py -> build/lib.linux-x86_64-cpython-310/torch/jit copying torch/jit/_check.py -> build/lib.linux-x86_64-cpython-310/torch/jit copying torch/jit/_shape_functions.py -> build/lib.linux-x86_64-cpython-310/torch/jit copying torch/jit/_monkeytype_config.py -> build/lib.linux-x86_64-cpython-310/torch/jit copying torch/jit/_await.py -> build/lib.linux-x86_64-cpython-310/torch/jit copying torch/jit/_logging.py -> build/lib.linux-x86_64-cpython-310/torch/jit copying torch/jit/supported_ops.py -> build/lib.linux-x86_64-cpython-310/torch/jit copying torch/jit/quantized.py -> build/lib.linux-x86_64-cpython-310/torch/jit copying torch/jit/_serialization.py -> build/lib.linux-x86_64-cpython-310/torch/jit copying torch/jit/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/jit copying torch/jit/_state.py -> build/lib.linux-x86_64-cpython-310/torch/jit copying torch/jit/_builtins.py -> build/lib.linux-x86_64-cpython-310/torch/jit copying torch/jit/_dataclass_impls.py -> build/lib.linux-x86_64-cpython-310/torch/jit copying torch/jit/generate_bytecode.py -> build/lib.linux-x86_64-cpython-310/torch/jit copying torch/jit/_script.py -> build/lib.linux-x86_64-cpython-310/torch/jit copying torch/jit/_fuser.py -> build/lib.linux-x86_64-cpython-310/torch/jit copying torch/jit/_pickle.py -> build/lib.linux-x86_64-cpython-310/torch/jit copying torch/jit/_ir_utils.py -> build/lib.linux-x86_64-cpython-310/torch/jit copying torch/jit/_freeze.py -> build/lib.linux-x86_64-cpython-310/torch/jit creating build/lib.linux-x86_64-cpython-310/torch/futures copying torch/futures/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/futures creating build/lib.linux-x86_64-cpython-310/torch/nested copying torch/nested/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/nested creating build/lib.linux-x86_64-cpython-310/torch/utils copying torch/utils/_cuda_trace.py -> build/lib.linux-x86_64-cpython-310/torch/utils copying torch/utils/_zip.py -> build/lib.linux-x86_64-cpython-310/torch/utils copying torch/utils/_pytree.py -> build/lib.linux-x86_64-cpython-310/torch/utils copying torch/utils/_cpp_extension_versioner.py -> build/lib.linux-x86_64-cpython-310/torch/utils copying torch/utils/dlpack.py -> build/lib.linux-x86_64-cpython-310/torch/utils copying torch/utils/mkldnn.py -> build/lib.linux-x86_64-cpython-310/torch/utils copying torch/utils/checkpoint.py -> build/lib.linux-x86_64-cpython-310/torch/utils copying torch/utils/_foreach_utils.py -> build/lib.linux-x86_64-cpython-310/torch/utils copying torch/utils/_crash_handler.py -> build/lib.linux-x86_64-cpython-310/torch/utils copying torch/utils/_contextlib.py -> build/lib.linux-x86_64-cpython-310/torch/utils copying torch/utils/show_pickle.py -> build/lib.linux-x86_64-cpython-310/torch/utils copying torch/utils/backend_registration.py -> build/lib.linux-x86_64-cpython-310/torch/utils copying torch/utils/hooks.py -> build/lib.linux-x86_64-cpython-310/torch/utils copying torch/utils/_mode_utils.py -> build/lib.linux-x86_64-cpython-310/torch/utils copying torch/utils/model_zoo.py -> build/lib.linux-x86_64-cpython-310/torch/utils copying torch/utils/cpp_extension.py -> build/lib.linux-x86_64-cpython-310/torch/utils copying torch/utils/file_baton.py -> build/lib.linux-x86_64-cpython-310/torch/utils copying torch/utils/_traceback.py -> build/lib.linux-x86_64-cpython-310/torch/utils copying torch/utils/collect_env.py -> build/lib.linux-x86_64-cpython-310/torch/utils copying torch/utils/_device.py -> build/lib.linux-x86_64-cpython-310/torch/utils copying torch/utils/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/utils copying torch/utils/weak.py -> build/lib.linux-x86_64-cpython-310/torch/utils copying torch/utils/_python_dispatch.py -> build/lib.linux-x86_64-cpython-310/torch/utils copying torch/utils/throughput_benchmark.py -> build/lib.linux-x86_64-cpython-310/torch/utils copying torch/utils/cpp_backtrace.py -> build/lib.linux-x86_64-cpython-310/torch/utils copying torch/utils/_stats.py -> build/lib.linux-x86_64-cpython-310/torch/utils copying torch/utils/_freeze.py -> build/lib.linux-x86_64-cpython-310/torch/utils copying torch/utils/bundled_inputs.py -> build/lib.linux-x86_64-cpython-310/torch/utils copying torch/utils/mobile_optimizer.py -> build/lib.linux-x86_64-cpython-310/torch/utils creating build/lib.linux-x86_64-cpython-310/torch/_subclasses copying torch/_subclasses/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/_subclasses copying torch/_subclasses/meta_utils.py -> build/lib.linux-x86_64-cpython-310/torch/_subclasses copying torch/_subclasses/fake_utils.py -> build/lib.linux-x86_64-cpython-310/torch/_subclasses copying torch/_subclasses/fake_tensor.py -> build/lib.linux-x86_64-cpython-310/torch/_subclasses creating build/lib.linux-x86_64-cpython-310/torch/multiprocessing copying torch/multiprocessing/spawn.py -> build/lib.linux-x86_64-cpython-310/torch/multiprocessing copying torch/multiprocessing/_atfork.py -> build/lib.linux-x86_64-cpython-310/torch/multiprocessing copying torch/multiprocessing/reductions.py -> build/lib.linux-x86_64-cpython-310/torch/multiprocessing copying torch/multiprocessing/queue.py -> build/lib.linux-x86_64-cpython-310/torch/multiprocessing copying torch/multiprocessing/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/multiprocessing copying torch/multiprocessing/pool.py -> build/lib.linux-x86_64-cpython-310/torch/multiprocessing creating build/lib.linux-x86_64-cpython-310/torch/linalg copying torch/linalg/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/linalg creating build/lib.linux-x86_64-cpython-310/torch/_awaits copying torch/_awaits/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/_awaits creating build/lib.linux-x86_64-cpython-310/torch/profiler copying torch/profiler/itt.py -> build/lib.linux-x86_64-cpython-310/torch/profiler copying torch/profiler/_memory_profiler.py -> build/lib.linux-x86_64-cpython-310/torch/profiler copying torch/profiler/_utils.py -> build/lib.linux-x86_64-cpython-310/torch/profiler copying torch/profiler/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/profiler copying torch/profiler/_pattern_matcher.py -> build/lib.linux-x86_64-cpython-310/torch/profiler copying torch/profiler/profiler.py -> build/lib.linux-x86_64-cpython-310/torch/profiler copying torch/profiler/python_tracer.py -> build/lib.linux-x86_64-cpython-310/torch/profiler creating build/lib.linux-x86_64-cpython-310/torch/fx copying torch/fx/_pytree.py -> build/lib.linux-x86_64-cpython-310/torch/fx copying torch/fx/operator_schemas.py -> build/lib.linux-x86_64-cpython-310/torch/fx copying torch/fx/traceback.py -> build/lib.linux-x86_64-cpython-310/torch/fx copying torch/fx/_compatibility.py -> build/lib.linux-x86_64-cpython-310/torch/fx copying torch/fx/tensor_type.py -> build/lib.linux-x86_64-cpython-310/torch/fx copying torch/fx/annotate.py -> build/lib.linux-x86_64-cpython-310/torch/fx copying torch/fx/proxy.py -> build/lib.linux-x86_64-cpython-310/torch/fx copying torch/fx/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/fx copying torch/fx/graph_module.py -> build/lib.linux-x86_64-cpython-310/torch/fx copying torch/fx/_symbolic_trace.py -> build/lib.linux-x86_64-cpython-310/torch/fx copying torch/fx/graph.py -> build/lib.linux-x86_64-cpython-310/torch/fx copying torch/fx/interpreter.py -> build/lib.linux-x86_64-cpython-310/torch/fx copying torch/fx/subgraph_rewriter.py -> build/lib.linux-x86_64-cpython-310/torch/fx copying torch/fx/config.py -> build/lib.linux-x86_64-cpython-310/torch/fx copying torch/fx/node.py -> build/lib.linux-x86_64-cpython-310/torch/fx copying torch/fx/immutable_collections.py -> build/lib.linux-x86_64-cpython-310/torch/fx creating build/lib.linux-x86_64-cpython-310/torch/special copying torch/special/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/special creating build/lib.linux-x86_64-cpython-310/torch/amp copying torch/amp/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/amp copying torch/amp/autocast_mode.py -> build/lib.linux-x86_64-cpython-310/torch/amp creating build/lib.linux-x86_64-cpython-310/torch/_export copying torch/_export/logical_schema.py -> build/lib.linux-x86_64-cpython-310/torch/_export copying torch/_export/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/_export creating build/lib.linux-x86_64-cpython-310/torch/_decomp copying torch/_decomp/decompositions.py -> build/lib.linux-x86_64-cpython-310/torch/_decomp copying torch/_decomp/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/_decomp copying torch/_decomp/decompositions_for_jvp.py -> build/lib.linux-x86_64-cpython-310/torch/_decomp creating build/lib.linux-x86_64-cpython-310/torch/monitor copying torch/monitor/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/monitor creating build/lib.linux-x86_64-cpython-310/torch/package copying torch/package/glob_group.py -> build/lib.linux-x86_64-cpython-310/torch/package copying torch/package/_stdlib.py -> build/lib.linux-x86_64-cpython-310/torch/package copying torch/package/package_importer.py -> build/lib.linux-x86_64-cpython-310/torch/package copying torch/package/_directory_reader.py -> build/lib.linux-x86_64-cpython-310/torch/package copying torch/package/file_structure_representation.py -> build/lib.linux-x86_64-cpython-310/torch/package copying torch/package/_digraph.py -> build/lib.linux-x86_64-cpython-310/torch/package copying torch/package/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/package copying torch/package/importer.py -> build/lib.linux-x86_64-cpython-310/torch/package copying torch/package/package_exporter.py -> build/lib.linux-x86_64-cpython-310/torch/package copying torch/package/find_file_dependencies.py -> build/lib.linux-x86_64-cpython-310/torch/package copying torch/package/_mangling.py -> build/lib.linux-x86_64-cpython-310/torch/package copying torch/package/_mock.py -> build/lib.linux-x86_64-cpython-310/torch/package copying torch/package/_importlib.py -> build/lib.linux-x86_64-cpython-310/torch/package copying torch/package/_package_unpickler.py -> build/lib.linux-x86_64-cpython-310/torch/package copying torch/package/_package_pickler.py -> build/lib.linux-x86_64-cpython-310/torch/package creating build/lib.linux-x86_64-cpython-310/torch/mps copying torch/mps/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/mps creating build/lib.linux-x86_64-cpython-310/torch/_prims copying torch/_prims/executor.py -> build/lib.linux-x86_64-cpython-310/torch/_prims copying torch/_prims/nvfuser_executor.py -> build/lib.linux-x86_64-cpython-310/torch/_prims copying torch/_prims/context.py -> build/lib.linux-x86_64-cpython-310/torch/_prims copying torch/_prims/nvfuser_prims.py -> build/lib.linux-x86_64-cpython-310/torch/_prims copying torch/_prims/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/_prims creating build/lib.linux-x86_64-cpython-310/torch/onnx copying torch/onnx/symbolic_opset8.py -> build/lib.linux-x86_64-cpython-310/torch/onnx copying torch/onnx/_experimental.py -> build/lib.linux-x86_64-cpython-310/torch/onnx copying torch/onnx/utils.py -> build/lib.linux-x86_64-cpython-310/torch/onnx copying torch/onnx/symbolic_opset15.py -> build/lib.linux-x86_64-cpython-310/torch/onnx copying torch/onnx/verification.py -> build/lib.linux-x86_64-cpython-310/torch/onnx copying torch/onnx/symbolic_opset10.py -> build/lib.linux-x86_64-cpython-310/torch/onnx copying torch/onnx/symbolic_helper.py -> build/lib.linux-x86_64-cpython-310/torch/onnx copying torch/onnx/_type_utils.py -> build/lib.linux-x86_64-cpython-310/torch/onnx copying torch/onnx/symbolic_opset17.py -> build/lib.linux-x86_64-cpython-310/torch/onnx copying torch/onnx/symbolic_opset16.py -> build/lib.linux-x86_64-cpython-310/torch/onnx copying torch/onnx/_onnx_supported_ops.py -> build/lib.linux-x86_64-cpython-310/torch/onnx copying torch/onnx/errors.py -> build/lib.linux-x86_64-cpython-310/torch/onnx copying torch/onnx/_exporter_states.py -> build/lib.linux-x86_64-cpython-310/torch/onnx copying torch/onnx/symbolic_opset18.py -> build/lib.linux-x86_64-cpython-310/torch/onnx copying torch/onnx/_globals.py -> build/lib.linux-x86_64-cpython-310/torch/onnx copying torch/onnx/symbolic_opset12.py -> build/lib.linux-x86_64-cpython-310/torch/onnx copying torch/onnx/operators.py -> build/lib.linux-x86_64-cpython-310/torch/onnx copying torch/onnx/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/onnx copying torch/onnx/symbolic_opset11.py -> build/lib.linux-x86_64-cpython-310/torch/onnx copying torch/onnx/symbolic_opset13.py -> build/lib.linux-x86_64-cpython-310/torch/onnx copying torch/onnx/symbolic_opset14.py -> build/lib.linux-x86_64-cpython-310/torch/onnx copying torch/onnx/_deprecation.py -> build/lib.linux-x86_64-cpython-310/torch/onnx copying torch/onnx/symbolic_opset9.py -> build/lib.linux-x86_64-cpython-310/torch/onnx copying torch/onnx/_constants.py -> build/lib.linux-x86_64-cpython-310/torch/onnx copying torch/onnx/symbolic_caffe2.py -> build/lib.linux-x86_64-cpython-310/torch/onnx copying torch/onnx/symbolic_opset7.py -> build/lib.linux-x86_64-cpython-310/torch/onnx creating build/lib.linux-x86_64-cpython-310/torch/testing copying torch/testing/_comparison.py -> build/lib.linux-x86_64-cpython-310/torch/testing copying torch/testing/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/testing copying torch/testing/_creation.py -> build/lib.linux-x86_64-cpython-310/torch/testing creating build/lib.linux-x86_64-cpython-310/torch/quantization copying torch/quantization/quantize.py -> build/lib.linux-x86_64-cpython-310/torch/quantization copying torch/quantization/quantize_jit.py -> build/lib.linux-x86_64-cpython-310/torch/quantization copying torch/quantization/fuse_modules.py -> build/lib.linux-x86_64-cpython-310/torch/quantization copying torch/quantization/_numeric_suite_fx.py -> build/lib.linux-x86_64-cpython-310/torch/quantization copying torch/quantization/utils.py -> build/lib.linux-x86_64-cpython-310/torch/quantization copying torch/quantization/observer.py -> build/lib.linux-x86_64-cpython-310/torch/quantization copying torch/quantization/qconfig.py -> build/lib.linux-x86_64-cpython-310/torch/quantization copying torch/quantization/quant_type.py -> build/lib.linux-x86_64-cpython-310/torch/quantization copying torch/quantization/quantization_mappings.py -> build/lib.linux-x86_64-cpython-310/torch/quantization copying torch/quantization/quantize_fx.py -> build/lib.linux-x86_64-cpython-310/torch/quantization copying torch/quantization/fuser_method_mappings.py -> build/lib.linux-x86_64-cpython-310/torch/quantization copying torch/quantization/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/quantization copying torch/quantization/_numeric_suite.py -> build/lib.linux-x86_64-cpython-310/torch/quantization copying torch/quantization/stubs.py -> build/lib.linux-x86_64-cpython-310/torch/quantization copying torch/quantization/fake_quantize.py -> build/lib.linux-x86_64-cpython-310/torch/quantization creating build/lib.linux-x86_64-cpython-310/torch/distributed copying torch/distributed/launch.py -> build/lib.linux-x86_64-cpython-310/torch/distributed copying torch/distributed/utils.py -> build/lib.linux-x86_64-cpython-310/torch/distributed copying torch/distributed/c10d_error_logger.py -> build/lib.linux-x86_64-cpython-310/torch/distributed copying torch/distributed/remote_device.py -> build/lib.linux-x86_64-cpython-310/torch/distributed copying torch/distributed/rendezvous.py -> build/lib.linux-x86_64-cpython-310/torch/distributed copying torch/distributed/logging_handlers.py -> build/lib.linux-x86_64-cpython-310/torch/distributed copying torch/distributed/argparse_util.py -> build/lib.linux-x86_64-cpython-310/torch/distributed copying torch/distributed/_composable_state.py -> build/lib.linux-x86_64-cpython-310/torch/distributed copying torch/distributed/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed copying torch/distributed/distributed_c10d.py -> build/lib.linux-x86_64-cpython-310/torch/distributed copying torch/distributed/run.py -> build/lib.linux-x86_64-cpython-310/torch/distributed copying torch/distributed/constants.py -> build/lib.linux-x86_64-cpython-310/torch/distributed creating build/lib.linux-x86_64-cpython-310/torch/fft copying torch/fft/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/fft creating build/lib.linux-x86_64-cpython-310/torch/cuda copying torch/cuda/sparse.py -> build/lib.linux-x86_64-cpython-310/torch/cuda copying torch/cuda/_sanitizer.py -> build/lib.linux-x86_64-cpython-310/torch/cuda copying torch/cuda/error.py -> build/lib.linux-x86_64-cpython-310/torch/cuda copying torch/cuda/_utils.py -> build/lib.linux-x86_64-cpython-310/torch/cuda copying torch/cuda/streams.py -> build/lib.linux-x86_64-cpython-310/torch/cuda copying torch/cuda/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/cuda copying torch/cuda/profiler.py -> build/lib.linux-x86_64-cpython-310/torch/cuda copying torch/cuda/nvtx.py -> build/lib.linux-x86_64-cpython-310/torch/cuda copying torch/cuda/memory.py -> build/lib.linux-x86_64-cpython-310/torch/cuda copying torch/cuda/jiterator.py -> build/lib.linux-x86_64-cpython-310/torch/cuda copying torch/cuda/graphs.py -> build/lib.linux-x86_64-cpython-310/torch/cuda copying torch/cuda/comm.py -> build/lib.linux-x86_64-cpython-310/torch/cuda copying torch/cuda/_memory_viz.py -> build/lib.linux-x86_64-cpython-310/torch/cuda copying torch/cuda/nccl.py -> build/lib.linux-x86_64-cpython-310/torch/cuda copying torch/cuda/random.py -> build/lib.linux-x86_64-cpython-310/torch/cuda creating build/lib.linux-x86_64-cpython-310/torch/_dynamo copying torch/_dynamo/logging.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo copying torch/_dynamo/types.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo copying torch/_dynamo/utils.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo copying torch/_dynamo/mutation_guard.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo copying torch/_dynamo/testing.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo copying torch/_dynamo/test_minifier_common.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo copying torch/_dynamo/hooks.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo copying torch/_dynamo/skipfiles.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo copying torch/_dynamo/exc.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo copying torch/_dynamo/replay_record.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo copying torch/_dynamo/allowed_functions.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo copying torch/_dynamo/side_effects.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo copying torch/_dynamo/codegen.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo copying torch/_dynamo/debug_utils.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo copying torch/_dynamo/symbolic_convert.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo copying torch/_dynamo/output_graph.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo copying torch/_dynamo/test_case.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo copying torch/_dynamo/resume_execution.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo copying torch/_dynamo/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo copying torch/_dynamo/profiler.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo copying torch/_dynamo/config_utils.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo copying torch/_dynamo/convert_frame.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo copying torch/_dynamo/guards.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo copying torch/_dynamo/config.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo copying torch/_dynamo/source.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo copying torch/_dynamo/bytecode_analysis.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo copying torch/_dynamo/comptime.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo copying torch/_dynamo/external_utils.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo copying torch/_dynamo/eval_frame.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo copying torch/_dynamo/bytecode_transformation.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo creating build/lib.linux-x86_64-cpython-310/torch/signal copying torch/signal/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/signal creating build/lib.linux-x86_64-cpython-310/torch/cpu copying torch/cpu/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/cpu creating build/lib.linux-x86_64-cpython-310/torch/_inductor/codegen copying torch/_inductor/codegen/triton.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor/codegen copying torch/_inductor/codegen/cpp.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor/codegen copying torch/_inductor/codegen/wrapper.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor/codegen copying torch/_inductor/codegen/autotuner.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor/codegen copying torch/_inductor/codegen/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor/codegen copying torch/_inductor/codegen/common.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor/codegen creating build/lib.linux-x86_64-cpython-310/torch/_inductor/triton_ops copying torch/_inductor/triton_ops/utils.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor/triton_ops copying torch/_inductor/triton_ops/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor/triton_ops copying torch/_inductor/triton_ops/conv_perf_model.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor/triton_ops copying torch/_inductor/triton_ops/conv.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor/triton_ops copying torch/_inductor/triton_ops/conv1x1.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor/triton_ops copying torch/_inductor/triton_ops/autotune.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor/triton_ops creating build/lib.linux-x86_64-cpython-310/torch/_inductor/kernel copying torch/_inductor/kernel/mm_plus_mm.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor/kernel copying torch/_inductor/kernel/bmm.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor/kernel copying torch/_inductor/kernel/mm_common.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor/kernel copying torch/_inductor/kernel/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor/kernel copying torch/_inductor/kernel/mm.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor/kernel creating build/lib.linux-x86_64-cpython-310/torch/masked/maskedtensor copying torch/masked/maskedtensor/reductions.py -> build/lib.linux-x86_64-cpython-310/torch/masked/maskedtensor copying torch/masked/maskedtensor/core.py -> build/lib.linux-x86_64-cpython-310/torch/masked/maskedtensor copying torch/masked/maskedtensor/unary.py -> build/lib.linux-x86_64-cpython-310/torch/masked/maskedtensor copying torch/masked/maskedtensor/_ops_refs.py -> build/lib.linux-x86_64-cpython-310/torch/masked/maskedtensor copying torch/masked/maskedtensor/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/masked/maskedtensor copying torch/masked/maskedtensor/creation.py -> build/lib.linux-x86_64-cpython-310/torch/masked/maskedtensor copying torch/masked/maskedtensor/passthrough.py -> build/lib.linux-x86_64-cpython-310/torch/masked/maskedtensor copying torch/masked/maskedtensor/binary.py -> build/lib.linux-x86_64-cpython-310/torch/masked/maskedtensor creating build/lib.linux-x86_64-cpython-310/torch/nn/parallel copying torch/nn/parallel/distributed.py -> build/lib.linux-x86_64-cpython-310/torch/nn/parallel copying torch/nn/parallel/_replicated_tensor_ddp_utils.py -> build/lib.linux-x86_64-cpython-310/torch/nn/parallel copying torch/nn/parallel/scatter_gather.py -> build/lib.linux-x86_64-cpython-310/torch/nn/parallel copying torch/nn/parallel/_replicated_tensor_ddp_interop.py -> build/lib.linux-x86_64-cpython-310/torch/nn/parallel copying torch/nn/parallel/replicate.py -> build/lib.linux-x86_64-cpython-310/torch/nn/parallel copying torch/nn/parallel/parallel_apply.py -> build/lib.linux-x86_64-cpython-310/torch/nn/parallel copying torch/nn/parallel/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/nn/parallel copying torch/nn/parallel/_functions.py -> build/lib.linux-x86_64-cpython-310/torch/nn/parallel copying torch/nn/parallel/data_parallel.py -> build/lib.linux-x86_64-cpython-310/torch/nn/parallel copying torch/nn/parallel/comm.py -> build/lib.linux-x86_64-cpython-310/torch/nn/parallel creating build/lib.linux-x86_64-cpython-310/torch/nn/backends copying torch/nn/backends/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/nn/backends copying torch/nn/backends/thnn.py -> build/lib.linux-x86_64-cpython-310/torch/nn/backends creating build/lib.linux-x86_64-cpython-310/torch/nn/qat copying torch/nn/qat/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/nn/qat creating build/lib.linux-x86_64-cpython-310/torch/nn/modules copying torch/nn/modules/pooling.py -> build/lib.linux-x86_64-cpython-310/torch/nn/modules copying torch/nn/modules/loss.py -> build/lib.linux-x86_64-cpython-310/torch/nn/modules copying torch/nn/modules/instancenorm.py -> build/lib.linux-x86_64-cpython-310/torch/nn/modules copying torch/nn/modules/utils.py -> build/lib.linux-x86_64-cpython-310/torch/nn/modules copying torch/nn/modules/distance.py -> build/lib.linux-x86_64-cpython-310/torch/nn/modules copying torch/nn/modules/rnn.py -> build/lib.linux-x86_64-cpython-310/torch/nn/modules copying torch/nn/modules/sparse.py -> build/lib.linux-x86_64-cpython-310/torch/nn/modules copying torch/nn/modules/padding.py -> build/lib.linux-x86_64-cpython-310/torch/nn/modules copying torch/nn/modules/module.py -> build/lib.linux-x86_64-cpython-310/torch/nn/modules copying torch/nn/modules/container.py -> build/lib.linux-x86_64-cpython-310/torch/nn/modules copying torch/nn/modules/dropout.py -> build/lib.linux-x86_64-cpython-310/torch/nn/modules copying torch/nn/modules/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/nn/modules copying torch/nn/modules/lazy.py -> build/lib.linux-x86_64-cpython-310/torch/nn/modules copying torch/nn/modules/flatten.py -> build/lib.linux-x86_64-cpython-310/torch/nn/modules copying torch/nn/modules/fold.py -> build/lib.linux-x86_64-cpython-310/torch/nn/modules copying torch/nn/modules/normalization.py -> build/lib.linux-x86_64-cpython-310/torch/nn/modules copying torch/nn/modules/batchnorm.py -> build/lib.linux-x86_64-cpython-310/torch/nn/modules copying torch/nn/modules/_functions.py -> build/lib.linux-x86_64-cpython-310/torch/nn/modules copying torch/nn/modules/conv.py -> build/lib.linux-x86_64-cpython-310/torch/nn/modules copying torch/nn/modules/transformer.py -> build/lib.linux-x86_64-cpython-310/torch/nn/modules copying torch/nn/modules/activation.py -> build/lib.linux-x86_64-cpython-310/torch/nn/modules copying torch/nn/modules/adaptive.py -> build/lib.linux-x86_64-cpython-310/torch/nn/modules copying torch/nn/modules/upsampling.py -> build/lib.linux-x86_64-cpython-310/torch/nn/modules copying torch/nn/modules/linear.py -> build/lib.linux-x86_64-cpython-310/torch/nn/modules copying torch/nn/modules/channelshuffle.py -> build/lib.linux-x86_64-cpython-310/torch/nn/modules copying torch/nn/modules/pixelshuffle.py -> build/lib.linux-x86_64-cpython-310/torch/nn/modules creating build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic copying torch/nn/intrinsic/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic creating build/lib.linux-x86_64-cpython-310/torch/nn/utils copying torch/nn/utils/init.py -> build/lib.linux-x86_64-cpython-310/torch/nn/utils copying torch/nn/utils/_named_member_accessor.py -> build/lib.linux-x86_64-cpython-310/torch/nn/utils copying torch/nn/utils/parametrize.py -> build/lib.linux-x86_64-cpython-310/torch/nn/utils copying torch/nn/utils/rnn.py -> build/lib.linux-x86_64-cpython-310/torch/nn/utils copying torch/nn/utils/fusion.py -> build/lib.linux-x86_64-cpython-310/torch/nn/utils copying torch/nn/utils/clip_grad.py -> build/lib.linux-x86_64-cpython-310/torch/nn/utils copying torch/nn/utils/weight_norm.py -> build/lib.linux-x86_64-cpython-310/torch/nn/utils copying torch/nn/utils/_per_sample_grad.py -> build/lib.linux-x86_64-cpython-310/torch/nn/utils copying torch/nn/utils/_deprecation_utils.py -> build/lib.linux-x86_64-cpython-310/torch/nn/utils copying torch/nn/utils/stateless.py -> build/lib.linux-x86_64-cpython-310/torch/nn/utils copying torch/nn/utils/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/nn/utils copying torch/nn/utils/convert_parameters.py -> build/lib.linux-x86_64-cpython-310/torch/nn/utils copying torch/nn/utils/memory_format.py -> build/lib.linux-x86_64-cpython-310/torch/nn/utils copying torch/nn/utils/spectral_norm.py -> build/lib.linux-x86_64-cpython-310/torch/nn/utils copying torch/nn/utils/parametrizations.py -> build/lib.linux-x86_64-cpython-310/torch/nn/utils copying torch/nn/utils/prune.py -> build/lib.linux-x86_64-cpython-310/torch/nn/utils creating build/lib.linux-x86_64-cpython-310/torch/nn/quantized copying torch/nn/quantized/functional.py -> build/lib.linux-x86_64-cpython-310/torch/nn/quantized copying torch/nn/quantized/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/nn/quantized creating build/lib.linux-x86_64-cpython-310/torch/nn/quantizable copying torch/nn/quantizable/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/nn/quantizable creating build/lib.linux-x86_64-cpython-310/torch/nn/qat/modules copying torch/nn/qat/modules/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/nn/qat/modules copying torch/nn/qat/modules/embedding_ops.py -> build/lib.linux-x86_64-cpython-310/torch/nn/qat/modules copying torch/nn/qat/modules/conv.py -> build/lib.linux-x86_64-cpython-310/torch/nn/qat/modules copying torch/nn/qat/modules/linear.py -> build/lib.linux-x86_64-cpython-310/torch/nn/qat/modules creating build/lib.linux-x86_64-cpython-310/torch/nn/qat/dynamic copying torch/nn/qat/dynamic/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/nn/qat/dynamic creating build/lib.linux-x86_64-cpython-310/torch/nn/qat/dynamic/modules copying torch/nn/qat/dynamic/modules/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/nn/qat/dynamic/modules copying torch/nn/qat/dynamic/modules/linear.py -> build/lib.linux-x86_64-cpython-310/torch/nn/qat/dynamic/modules creating build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic/qat copying torch/nn/intrinsic/qat/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic/qat creating build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic/modules copying torch/nn/intrinsic/modules/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic/modules copying torch/nn/intrinsic/modules/fused.py -> build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic/modules creating build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic/quantized copying torch/nn/intrinsic/quantized/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic/quantized creating build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic/qat/modules copying torch/nn/intrinsic/qat/modules/conv_fused.py -> build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic/qat/modules copying torch/nn/intrinsic/qat/modules/linear_fused.py -> build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic/qat/modules copying torch/nn/intrinsic/qat/modules/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic/qat/modules copying torch/nn/intrinsic/qat/modules/linear_relu.py -> build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic/qat/modules creating build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic/quantized/modules copying torch/nn/intrinsic/quantized/modules/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic/quantized/modules copying torch/nn/intrinsic/quantized/modules/bn_relu.py -> build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic/quantized/modules copying torch/nn/intrinsic/quantized/modules/conv_relu.py -> build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic/quantized/modules copying torch/nn/intrinsic/quantized/modules/linear_relu.py -> build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic/quantized/modules creating build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic/quantized/dynamic copying torch/nn/intrinsic/quantized/dynamic/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic/quantized/dynamic creating build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic/quantized/dynamic/modules copying torch/nn/intrinsic/quantized/dynamic/modules/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic/quantized/dynamic/modules copying torch/nn/intrinsic/quantized/dynamic/modules/linear_relu.py -> build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic/quantized/dynamic/modules creating build/lib.linux-x86_64-cpython-310/torch/nn/utils/_expanded_weights copying torch/nn/utils/_expanded_weights/conv_expanded_weights.py -> build/lib.linux-x86_64-cpython-310/torch/nn/utils/_expanded_weights copying torch/nn/utils/_expanded_weights/linear_expanded_weights.py -> build/lib.linux-x86_64-cpython-310/torch/nn/utils/_expanded_weights copying torch/nn/utils/_expanded_weights/embedding_expanded_weights.py -> build/lib.linux-x86_64-cpython-310/torch/nn/utils/_expanded_weights copying torch/nn/utils/_expanded_weights/conv_utils.py -> build/lib.linux-x86_64-cpython-310/torch/nn/utils/_expanded_weights copying torch/nn/utils/_expanded_weights/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/nn/utils/_expanded_weights copying torch/nn/utils/_expanded_weights/expanded_weights_utils.py -> build/lib.linux-x86_64-cpython-310/torch/nn/utils/_expanded_weights copying torch/nn/utils/_expanded_weights/group_norm_expanded_weights.py -> build/lib.linux-x86_64-cpython-310/torch/nn/utils/_expanded_weights copying torch/nn/utils/_expanded_weights/layer_norm_expanded_weights.py -> build/lib.linux-x86_64-cpython-310/torch/nn/utils/_expanded_weights copying torch/nn/utils/_expanded_weights/instance_norm_expanded_weights.py -> build/lib.linux-x86_64-cpython-310/torch/nn/utils/_expanded_weights copying torch/nn/utils/_expanded_weights/expanded_weights_impl.py -> build/lib.linux-x86_64-cpython-310/torch/nn/utils/_expanded_weights creating build/lib.linux-x86_64-cpython-310/torch/nn/quantized/modules copying torch/nn/quantized/modules/functional_modules.py -> build/lib.linux-x86_64-cpython-310/torch/nn/quantized/modules copying torch/nn/quantized/modules/utils.py -> build/lib.linux-x86_64-cpython-310/torch/nn/quantized/modules copying torch/nn/quantized/modules/rnn.py -> build/lib.linux-x86_64-cpython-310/torch/nn/quantized/modules copying torch/nn/quantized/modules/dropout.py -> build/lib.linux-x86_64-cpython-310/torch/nn/quantized/modules copying torch/nn/quantized/modules/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/nn/quantized/modules copying torch/nn/quantized/modules/normalization.py -> build/lib.linux-x86_64-cpython-310/torch/nn/quantized/modules copying torch/nn/quantized/modules/batchnorm.py -> build/lib.linux-x86_64-cpython-310/torch/nn/quantized/modules copying torch/nn/quantized/modules/embedding_ops.py -> build/lib.linux-x86_64-cpython-310/torch/nn/quantized/modules copying torch/nn/quantized/modules/conv.py -> build/lib.linux-x86_64-cpython-310/torch/nn/quantized/modules copying torch/nn/quantized/modules/activation.py -> build/lib.linux-x86_64-cpython-310/torch/nn/quantized/modules copying torch/nn/quantized/modules/linear.py -> build/lib.linux-x86_64-cpython-310/torch/nn/quantized/modules creating build/lib.linux-x86_64-cpython-310/torch/nn/quantized/_reference copying torch/nn/quantized/_reference/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/nn/quantized/_reference creating build/lib.linux-x86_64-cpython-310/torch/nn/quantized/dynamic copying torch/nn/quantized/dynamic/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/nn/quantized/dynamic creating build/lib.linux-x86_64-cpython-310/torch/nn/quantized/_reference/modules copying torch/nn/quantized/_reference/modules/utils.py -> build/lib.linux-x86_64-cpython-310/torch/nn/quantized/_reference/modules copying torch/nn/quantized/_reference/modules/rnn.py -> build/lib.linux-x86_64-cpython-310/torch/nn/quantized/_reference/modules copying torch/nn/quantized/_reference/modules/sparse.py -> build/lib.linux-x86_64-cpython-310/torch/nn/quantized/_reference/modules copying torch/nn/quantized/_reference/modules/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/nn/quantized/_reference/modules copying torch/nn/quantized/_reference/modules/conv.py -> build/lib.linux-x86_64-cpython-310/torch/nn/quantized/_reference/modules copying torch/nn/quantized/_reference/modules/linear.py -> build/lib.linux-x86_64-cpython-310/torch/nn/quantized/_reference/modules creating build/lib.linux-x86_64-cpython-310/torch/nn/quantized/dynamic/modules copying torch/nn/quantized/dynamic/modules/rnn.py -> build/lib.linux-x86_64-cpython-310/torch/nn/quantized/dynamic/modules copying torch/nn/quantized/dynamic/modules/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/nn/quantized/dynamic/modules copying torch/nn/quantized/dynamic/modules/conv.py -> build/lib.linux-x86_64-cpython-310/torch/nn/quantized/dynamic/modules copying torch/nn/quantized/dynamic/modules/linear.py -> build/lib.linux-x86_64-cpython-310/torch/nn/quantized/dynamic/modules creating build/lib.linux-x86_64-cpython-310/torch/nn/quantizable/modules copying torch/nn/quantizable/modules/rnn.py -> build/lib.linux-x86_64-cpython-310/torch/nn/quantizable/modules copying torch/nn/quantizable/modules/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/nn/quantizable/modules copying torch/nn/quantizable/modules/activation.py -> build/lib.linux-x86_64-cpython-310/torch/nn/quantizable/modules creating build/lib.linux-x86_64-cpython-310/torch/_refs/nn copying torch/_refs/nn/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/_refs/nn creating build/lib.linux-x86_64-cpython-310/torch/_refs/linalg copying torch/_refs/linalg/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/_refs/linalg creating build/lib.linux-x86_64-cpython-310/torch/_refs/special copying torch/_refs/special/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/_refs/special creating build/lib.linux-x86_64-cpython-310/torch/_refs/nn/functional copying torch/_refs/nn/functional/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/_refs/nn/functional creating build/lib.linux-x86_64-cpython-310/torch/ao/nn copying torch/ao/nn/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn creating build/lib.linux-x86_64-cpython-310/torch/ao/ns copying torch/ao/ns/_numeric_suite_fx.py -> build/lib.linux-x86_64-cpython-310/torch/ao/ns copying torch/ao/ns/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/ns copying torch/ao/ns/_numeric_suite.py -> build/lib.linux-x86_64-cpython-310/torch/ao/ns creating build/lib.linux-x86_64-cpython-310/torch/ao/quantization copying torch/ao/quantization/quantize.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization copying torch/ao/quantization/quantize_jit.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization copying torch/ao/quantization/fuse_modules.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization copying torch/ao/quantization/utils.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization copying torch/ao/quantization/observer.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization copying torch/ao/quantization/qconfig.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization copying torch/ao/quantization/_equalize.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization copying torch/ao/quantization/quant_type.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization copying torch/ao/quantization/quantization_mappings.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization copying torch/ao/quantization/_quantize_pt2e.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization copying torch/ao/quantization/quantize_fx.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization copying torch/ao/quantization/fuser_method_mappings.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization copying torch/ao/quantization/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization copying torch/ao/quantization/_learnable_fake_quantize.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization copying torch/ao/quantization/stubs.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization copying torch/ao/quantization/_correct_bias.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization copying torch/ao/quantization/qconfig_mapping.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization copying torch/ao/quantization/fake_quantize.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization creating build/lib.linux-x86_64-cpython-310/torch/ao/pruning copying torch/ao/pruning/_mappings.py -> build/lib.linux-x86_64-cpython-310/torch/ao/pruning copying torch/ao/pruning/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/pruning creating build/lib.linux-x86_64-cpython-310/torch/ao/nn/sparse copying torch/ao/nn/sparse/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/sparse creating build/lib.linux-x86_64-cpython-310/torch/ao/nn/qat copying torch/ao/nn/qat/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/qat creating build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic copying torch/ao/nn/intrinsic/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic creating build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized copying torch/ao/nn/quantized/functional.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized copying torch/ao/nn/quantized/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized creating build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantizable copying torch/ao/nn/quantizable/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantizable creating build/lib.linux-x86_64-cpython-310/torch/ao/nn/sparse/quantized copying torch/ao/nn/sparse/quantized/utils.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/sparse/quantized copying torch/ao/nn/sparse/quantized/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/sparse/quantized copying torch/ao/nn/sparse/quantized/linear.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/sparse/quantized creating build/lib.linux-x86_64-cpython-310/torch/ao/nn/sparse/quantized/dynamic copying torch/ao/nn/sparse/quantized/dynamic/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/sparse/quantized/dynamic copying torch/ao/nn/sparse/quantized/dynamic/linear.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/sparse/quantized/dynamic creating build/lib.linux-x86_64-cpython-310/torch/ao/nn/qat/modules copying torch/ao/nn/qat/modules/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/qat/modules copying torch/ao/nn/qat/modules/embedding_ops.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/qat/modules copying torch/ao/nn/qat/modules/conv.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/qat/modules copying torch/ao/nn/qat/modules/linear.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/qat/modules creating build/lib.linux-x86_64-cpython-310/torch/ao/nn/qat/dynamic copying torch/ao/nn/qat/dynamic/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/qat/dynamic creating build/lib.linux-x86_64-cpython-310/torch/ao/nn/qat/dynamic/modules copying torch/ao/nn/qat/dynamic/modules/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/qat/dynamic/modules copying torch/ao/nn/qat/dynamic/modules/linear.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/qat/dynamic/modules creating build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/qat copying torch/ao/nn/intrinsic/qat/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/qat creating build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/modules copying torch/ao/nn/intrinsic/modules/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/modules copying torch/ao/nn/intrinsic/modules/fused.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/modules creating build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/quantized copying torch/ao/nn/intrinsic/quantized/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/quantized creating build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/qat/modules copying torch/ao/nn/intrinsic/qat/modules/conv_fused.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/qat/modules copying torch/ao/nn/intrinsic/qat/modules/linear_fused.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/qat/modules copying torch/ao/nn/intrinsic/qat/modules/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/qat/modules copying torch/ao/nn/intrinsic/qat/modules/linear_relu.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/qat/modules creating build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/quantized/modules copying torch/ao/nn/intrinsic/quantized/modules/conv_add.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/quantized/modules copying torch/ao/nn/intrinsic/quantized/modules/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/quantized/modules copying torch/ao/nn/intrinsic/quantized/modules/bn_relu.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/quantized/modules copying torch/ao/nn/intrinsic/quantized/modules/conv_relu.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/quantized/modules copying torch/ao/nn/intrinsic/quantized/modules/linear_relu.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/quantized/modules creating build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/quantized/dynamic copying torch/ao/nn/intrinsic/quantized/dynamic/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/quantized/dynamic creating build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/quantized/dynamic/modules copying torch/ao/nn/intrinsic/quantized/dynamic/modules/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/quantized/dynamic/modules copying torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/quantized/dynamic/modules creating build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/modules copying torch/ao/nn/quantized/modules/functional_modules.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/modules copying torch/ao/nn/quantized/modules/utils.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/modules copying torch/ao/nn/quantized/modules/rnn.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/modules copying torch/ao/nn/quantized/modules/dropout.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/modules copying torch/ao/nn/quantized/modules/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/modules copying torch/ao/nn/quantized/modules/normalization.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/modules copying torch/ao/nn/quantized/modules/batchnorm.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/modules copying torch/ao/nn/quantized/modules/embedding_ops.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/modules copying torch/ao/nn/quantized/modules/conv.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/modules copying torch/ao/nn/quantized/modules/activation.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/modules copying torch/ao/nn/quantized/modules/linear.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/modules creating build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/reference copying torch/ao/nn/quantized/reference/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/reference creating build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/dynamic copying torch/ao/nn/quantized/dynamic/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/dynamic creating build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/reference/modules copying torch/ao/nn/quantized/reference/modules/utils.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/reference/modules copying torch/ao/nn/quantized/reference/modules/rnn.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/reference/modules copying torch/ao/nn/quantized/reference/modules/sparse.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/reference/modules copying torch/ao/nn/quantized/reference/modules/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/reference/modules copying torch/ao/nn/quantized/reference/modules/conv.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/reference/modules copying torch/ao/nn/quantized/reference/modules/linear.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/reference/modules creating build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/dynamic/modules copying torch/ao/nn/quantized/dynamic/modules/rnn.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/dynamic/modules copying torch/ao/nn/quantized/dynamic/modules/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/dynamic/modules copying torch/ao/nn/quantized/dynamic/modules/conv.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/dynamic/modules copying torch/ao/nn/quantized/dynamic/modules/linear.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/dynamic/modules creating build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantizable/modules copying torch/ao/nn/quantizable/modules/rnn.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantizable/modules copying torch/ao/nn/quantizable/modules/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantizable/modules copying torch/ao/nn/quantizable/modules/activation.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantizable/modules creating build/lib.linux-x86_64-cpython-310/torch/ao/ns/fx copying torch/ao/ns/fx/utils.py -> build/lib.linux-x86_64-cpython-310/torch/ao/ns/fx copying torch/ao/ns/fx/graph_matcher.py -> build/lib.linux-x86_64-cpython-310/torch/ao/ns/fx copying torch/ao/ns/fx/n_shadows_utils.py -> build/lib.linux-x86_64-cpython-310/torch/ao/ns/fx copying torch/ao/ns/fx/qconfig_multi_mapping.py -> build/lib.linux-x86_64-cpython-310/torch/ao/ns/fx copying torch/ao/ns/fx/pattern_utils.py -> build/lib.linux-x86_64-cpython-310/torch/ao/ns/fx copying torch/ao/ns/fx/graph_passes.py -> build/lib.linux-x86_64-cpython-310/torch/ao/ns/fx copying torch/ao/ns/fx/ns_types.py -> build/lib.linux-x86_64-cpython-310/torch/ao/ns/fx copying torch/ao/ns/fx/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/ns/fx copying torch/ao/ns/fx/mappings.py -> build/lib.linux-x86_64-cpython-310/torch/ao/ns/fx copying torch/ao/ns/fx/weight_utils.py -> build/lib.linux-x86_64-cpython-310/torch/ao/ns/fx creating build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx copying torch/ao/quantization/fx/custom_config.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx copying torch/ao/quantization/fx/utils.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx copying torch/ao/quantization/fx/_equalize.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx copying torch/ao/quantization/fx/fuse.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx copying torch/ao/quantization/fx/_lower_to_native_backend.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx copying torch/ao/quantization/fx/_decomposed.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx copying torch/ao/quantization/fx/prepare.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx copying torch/ao/quantization/fx/fuse_handler.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx copying torch/ao/quantization/fx/pattern_utils.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx copying torch/ao/quantization/fx/qconfig_mapping_utils.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx copying torch/ao/quantization/fx/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx copying torch/ao/quantization/fx/graph_module.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx copying torch/ao/quantization/fx/tracer.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx copying torch/ao/quantization/fx/quantize_handler.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx copying torch/ao/quantization/fx/match_utils.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx copying torch/ao/quantization/fx/lower_to_qnnpack.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx copying torch/ao/quantization/fx/convert.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx copying torch/ao/quantization/fx/lower_to_fbgemm.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx creating build/lib.linux-x86_64-cpython-310/torch/ao/quantization/backend_config copying torch/ao/quantization/backend_config/_qnnpack_pt2e.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization/backend_config copying torch/ao/quantization/backend_config/native.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization/backend_config copying torch/ao/quantization/backend_config/fbgemm.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization/backend_config copying torch/ao/quantization/backend_config/observation_type.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization/backend_config copying torch/ao/quantization/backend_config/utils.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization/backend_config copying torch/ao/quantization/backend_config/_common_operator_config_utils.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization/backend_config copying torch/ao/quantization/backend_config/backend_config.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization/backend_config copying torch/ao/quantization/backend_config/tensorrt.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization/backend_config copying torch/ao/quantization/backend_config/qnnpack.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization/backend_config copying torch/ao/quantization/backend_config/x86.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization/backend_config copying torch/ao/quantization/backend_config/onednn.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization/backend_config copying torch/ao/quantization/backend_config/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization/backend_config copying torch/ao/quantization/backend_config/executorch.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization/backend_config creating build/lib.linux-x86_64-cpython-310/torch/ao/quantization/_pt2e copying torch/ao/quantization/_pt2e/utils.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization/_pt2e copying torch/ao/quantization/_pt2e/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization/_pt2e creating build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx/_model_report copying torch/ao/quantization/fx/_model_report/model_report_observer.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx/_model_report copying torch/ao/quantization/fx/_model_report/model_report.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx/_model_report copying torch/ao/quantization/fx/_model_report/detector.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx/_model_report copying torch/ao/quantization/fx/_model_report/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx/_model_report copying torch/ao/quantization/fx/_model_report/model_report_visualizer.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx/_model_report creating build/lib.linux-x86_64-cpython-310/torch/ao/pruning/sparsifier copying torch/ao/pruning/sparsifier/base_sparsifier.py -> build/lib.linux-x86_64-cpython-310/torch/ao/pruning/sparsifier copying torch/ao/pruning/sparsifier/utils.py -> build/lib.linux-x86_64-cpython-310/torch/ao/pruning/sparsifier copying torch/ao/pruning/sparsifier/nearly_diagonal_sparsifier.py -> build/lib.linux-x86_64-cpython-310/torch/ao/pruning/sparsifier copying torch/ao/pruning/sparsifier/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/pruning/sparsifier copying torch/ao/pruning/sparsifier/weight_norm_sparsifier.py -> build/lib.linux-x86_64-cpython-310/torch/ao/pruning/sparsifier creating build/lib.linux-x86_64-cpython-310/torch/ao/pruning/scheduler copying torch/ao/pruning/scheduler/lambda_scheduler.py -> build/lib.linux-x86_64-cpython-310/torch/ao/pruning/scheduler copying torch/ao/pruning/scheduler/base_scheduler.py -> build/lib.linux-x86_64-cpython-310/torch/ao/pruning/scheduler copying torch/ao/pruning/scheduler/cubic_scheduler.py -> build/lib.linux-x86_64-cpython-310/torch/ao/pruning/scheduler copying torch/ao/pruning/scheduler/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/pruning/scheduler creating build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental copying torch/ao/pruning/_experimental/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental creating build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/data_sparsifier copying torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py -> build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/data_sparsifier copying torch/ao/pruning/_experimental/data_sparsifier/quantization_utils.py -> build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/data_sparsifier copying torch/ao/pruning/_experimental/data_sparsifier/data_norm_sparsifier.py -> build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/data_sparsifier copying torch/ao/pruning/_experimental/data_sparsifier/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/data_sparsifier creating build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/activation_sparsifier copying torch/ao/pruning/_experimental/activation_sparsifier/activation_sparsifier.py -> build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/activation_sparsifier copying torch/ao/pruning/_experimental/activation_sparsifier/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/activation_sparsifier creating build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/data_scheduler copying torch/ao/pruning/_experimental/data_scheduler/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/data_scheduler copying torch/ao/pruning/_experimental/data_scheduler/base_data_scheduler.py -> build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/data_scheduler creating build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/pruner copying torch/ao/pruning/_experimental/pruner/saliency_pruner.py -> build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/pruner copying torch/ao/pruning/_experimental/pruner/base_structured_sparsifier.py -> build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/pruner copying torch/ao/pruning/_experimental/pruner/prune_functions.py -> build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/pruner copying torch/ao/pruning/_experimental/pruner/parametrization.py -> build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/pruner copying torch/ao/pruning/_experimental/pruner/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/pruner copying torch/ao/pruning/_experimental/pruner/lstm_saliency_pruner.py -> build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/pruner copying torch/ao/pruning/_experimental/pruner/match_utils.py -> build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/pruner creating build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/data_sparsifier/lightning copying torch/ao/pruning/_experimental/data_sparsifier/lightning/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/data_sparsifier/lightning creating build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/data_sparsifier/lightning/callbacks copying torch/ao/pruning/_experimental/data_sparsifier/lightning/callbacks/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/data_sparsifier/lightning/callbacks copying torch/ao/pruning/_experimental/data_sparsifier/lightning/callbacks/data_sparsity.py -> build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/data_sparsifier/lightning/callbacks copying torch/ao/pruning/_experimental/data_sparsifier/lightning/callbacks/_data_sparstity_utils.py -> build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/data_sparsifier/lightning/callbacks creating build/lib.linux-x86_64-cpython-310/torch/autograd/_functions copying torch/autograd/_functions/utils.py -> build/lib.linux-x86_64-cpython-310/torch/autograd/_functions copying torch/autograd/_functions/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/autograd/_functions copying torch/autograd/_functions/tensor.py -> build/lib.linux-x86_64-cpython-310/torch/autograd/_functions creating build/lib.linux-x86_64-cpython-310/torch/backends/mkldnn copying torch/backends/mkldnn/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/backends/mkldnn creating build/lib.linux-x86_64-cpython-310/torch/backends/opt_einsum copying torch/backends/opt_einsum/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/backends/opt_einsum creating build/lib.linux-x86_64-cpython-310/torch/backends/xnnpack copying torch/backends/xnnpack/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/backends/xnnpack creating build/lib.linux-x86_64-cpython-310/torch/backends/_coreml copying torch/backends/_coreml/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/backends/_coreml copying torch/backends/_coreml/preprocess.py -> build/lib.linux-x86_64-cpython-310/torch/backends/_coreml creating build/lib.linux-x86_64-cpython-310/torch/backends/xeon copying torch/backends/xeon/run_cpu.py -> build/lib.linux-x86_64-cpython-310/torch/backends/xeon copying torch/backends/xeon/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/backends/xeon creating build/lib.linux-x86_64-cpython-310/torch/backends/quantized copying torch/backends/quantized/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/backends/quantized creating build/lib.linux-x86_64-cpython-310/torch/backends/mps copying torch/backends/mps/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/backends/mps creating build/lib.linux-x86_64-cpython-310/torch/backends/openmp copying torch/backends/openmp/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/backends/openmp creating build/lib.linux-x86_64-cpython-310/torch/backends/cudnn copying torch/backends/cudnn/rnn.py -> build/lib.linux-x86_64-cpython-310/torch/backends/cudnn copying torch/backends/cudnn/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/backends/cudnn creating build/lib.linux-x86_64-cpython-310/torch/backends/cuda copying torch/backends/cuda/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/backends/cuda creating build/lib.linux-x86_64-cpython-310/torch/backends/mkl copying torch/backends/mkl/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/backends/mkl creating build/lib.linux-x86_64-cpython-310/torch/backends/_nnapi copying torch/backends/_nnapi/prepare.py -> build/lib.linux-x86_64-cpython-310/torch/backends/_nnapi copying torch/backends/_nnapi/serializer.py -> build/lib.linux-x86_64-cpython-310/torch/backends/_nnapi copying torch/backends/_nnapi/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/backends/_nnapi creating build/lib.linux-x86_64-cpython-310/torch/optim/_multi_tensor copying torch/optim/_multi_tensor/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/optim/_multi_tensor creating build/lib.linux-x86_64-cpython-310/torch/jit/mobile copying torch/jit/mobile/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/jit/mobile creating build/lib.linux-x86_64-cpython-310/torch/jit/_passes copying torch/jit/_passes/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/jit/_passes copying torch/jit/_passes/_property_propagation.py -> build/lib.linux-x86_64-cpython-310/torch/jit/_passes creating build/lib.linux-x86_64-cpython-310/torch/utils/model_dump copying torch/utils/model_dump/__main__.py -> build/lib.linux-x86_64-cpython-310/torch/utils/model_dump copying torch/utils/model_dump/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/utils/model_dump creating build/lib.linux-x86_64-cpython-310/torch/utils/jit copying torch/utils/jit/log_extract.py -> build/lib.linux-x86_64-cpython-310/torch/utils/jit copying torch/utils/jit/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/utils/jit creating build/lib.linux-x86_64-cpython-310/torch/utils/_sympy copying torch/utils/_sympy/value_ranges.py -> build/lib.linux-x86_64-cpython-310/torch/utils/_sympy copying torch/utils/_sympy/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/utils/_sympy creating build/lib.linux-x86_64-cpython-310/torch/utils/benchmark copying torch/utils/benchmark/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/utils/benchmark creating build/lib.linux-x86_64-cpython-310/torch/utils/backcompat copying torch/utils/backcompat/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/utils/backcompat creating build/lib.linux-x86_64-cpython-310/torch/utils/bottleneck copying torch/utils/bottleneck/__main__.py -> build/lib.linux-x86_64-cpython-310/torch/utils/bottleneck copying torch/utils/bottleneck/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/utils/bottleneck creating build/lib.linux-x86_64-cpython-310/torch/utils/data copying torch/utils/data/distributed.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data copying torch/utils/data/dataset.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data copying torch/utils/data/graph_settings.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data copying torch/utils/data/dataloader.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data copying torch/utils/data/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data copying torch/utils/data/graph.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data copying torch/utils/data/sampler.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data copying torch/utils/data/backward_compatibility.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data creating build/lib.linux-x86_64-cpython-310/torch/utils/hipify copying torch/utils/hipify/hipify_python.py -> build/lib.linux-x86_64-cpython-310/torch/utils/hipify copying torch/utils/hipify/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/utils/hipify copying torch/utils/hipify/version.py -> build/lib.linux-x86_64-cpython-310/torch/utils/hipify copying torch/utils/hipify/cuda_to_hip_mappings.py -> build/lib.linux-x86_64-cpython-310/torch/utils/hipify copying torch/utils/hipify/constants.py -> build/lib.linux-x86_64-cpython-310/torch/utils/hipify creating build/lib.linux-x86_64-cpython-310/torch/utils/tensorboard copying torch/utils/tensorboard/_proto_graph.py -> build/lib.linux-x86_64-cpython-310/torch/utils/tensorboard copying torch/utils/tensorboard/_convert_np.py -> build/lib.linux-x86_64-cpython-310/torch/utils/tensorboard copying torch/utils/tensorboard/summary.py -> build/lib.linux-x86_64-cpython-310/torch/utils/tensorboard copying torch/utils/tensorboard/_utils.py -> build/lib.linux-x86_64-cpython-310/torch/utils/tensorboard copying torch/utils/tensorboard/_embedding.py -> build/lib.linux-x86_64-cpython-310/torch/utils/tensorboard copying torch/utils/tensorboard/_caffe2_graph.py -> build/lib.linux-x86_64-cpython-310/torch/utils/tensorboard copying torch/utils/tensorboard/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/utils/tensorboard copying torch/utils/tensorboard/writer.py -> build/lib.linux-x86_64-cpython-310/torch/utils/tensorboard copying torch/utils/tensorboard/_pytorch_graph.py -> build/lib.linux-x86_64-cpython-310/torch/utils/tensorboard copying torch/utils/tensorboard/_onnx_graph.py -> build/lib.linux-x86_64-cpython-310/torch/utils/tensorboard creating build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/examples copying torch/utils/benchmark/examples/op_benchmark.py -> build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/examples copying torch/utils/benchmark/examples/blas_compare.py -> build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/examples copying torch/utils/benchmark/examples/simple_timeit.py -> build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/examples copying torch/utils/benchmark/examples/fuzzer.py -> build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/examples copying torch/utils/benchmark/examples/end_to_end.py -> build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/examples copying torch/utils/benchmark/examples/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/examples copying torch/utils/benchmark/examples/spectral_ops_fuzz_test.py -> build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/examples copying torch/utils/benchmark/examples/blas_compare_setup.py -> build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/examples copying torch/utils/benchmark/examples/compare.py -> build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/examples creating build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/utils copying torch/utils/benchmark/utils/sparse_fuzzer.py -> build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/utils copying torch/utils/benchmark/utils/timer.py -> build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/utils copying torch/utils/benchmark/utils/_stubs.py -> build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/utils copying torch/utils/benchmark/utils/fuzzer.py -> build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/utils copying torch/utils/benchmark/utils/cpp_jit.py -> build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/utils copying torch/utils/benchmark/utils/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/utils copying torch/utils/benchmark/utils/common.py -> build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/utils copying torch/utils/benchmark/utils/compare.py -> build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/utils creating build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/op_fuzzers copying torch/utils/benchmark/op_fuzzers/spectral.py -> build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/op_fuzzers copying torch/utils/benchmark/op_fuzzers/unary.py -> build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/op_fuzzers copying torch/utils/benchmark/op_fuzzers/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/op_fuzzers copying torch/utils/benchmark/op_fuzzers/sparse_unary.py -> build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/op_fuzzers copying torch/utils/benchmark/op_fuzzers/sparse_binary.py -> build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/op_fuzzers copying torch/utils/benchmark/op_fuzzers/binary.py -> build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/op_fuzzers creating build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/utils/valgrind_wrapper copying torch/utils/benchmark/utils/valgrind_wrapper/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/utils/valgrind_wrapper copying torch/utils/benchmark/utils/valgrind_wrapper/timer_interface.py -> build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/utils/valgrind_wrapper creating build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes copying torch/utils/data/datapipes/_typing.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes copying torch/utils/data/datapipes/datapipe.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes copying torch/utils/data/datapipes/_hook_iterator.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes copying torch/utils/data/datapipes/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes copying torch/utils/data/datapipes/_decorator.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes copying torch/utils/data/datapipes/gen_pyi.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes creating build/lib.linux-x86_64-cpython-310/torch/utils/data/_utils copying torch/utils/data/_utils/signal_handling.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/_utils copying torch/utils/data/_utils/collate.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/_utils copying torch/utils/data/_utils/serialization.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/_utils copying torch/utils/data/_utils/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/_utils copying torch/utils/data/_utils/fetch.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/_utils copying torch/utils/data/_utils/worker.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/_utils copying torch/utils/data/_utils/pin_memory.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/_utils creating build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/map copying torch/utils/data/datapipes/map/utils.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/map copying torch/utils/data/datapipes/map/combining.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/map copying torch/utils/data/datapipes/map/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/map copying torch/utils/data/datapipes/map/combinatorics.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/map copying torch/utils/data/datapipes/map/grouping.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/map copying torch/utils/data/datapipes/map/callable.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/map creating build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/utils copying torch/utils/data/datapipes/utils/decoder.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/utils copying torch/utils/data/datapipes/utils/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/utils copying torch/utils/data/datapipes/utils/common.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/utils copying torch/utils/data/datapipes/utils/snapshot.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/utils creating build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/iter copying torch/utils/data/datapipes/iter/sharding.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/iter copying torch/utils/data/datapipes/iter/utils.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/iter copying torch/utils/data/datapipes/iter/combining.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/iter copying torch/utils/data/datapipes/iter/routeddecoder.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/iter copying torch/utils/data/datapipes/iter/filelister.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/iter copying torch/utils/data/datapipes/iter/fileopener.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/iter copying torch/utils/data/datapipes/iter/streamreader.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/iter copying torch/utils/data/datapipes/iter/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/iter copying torch/utils/data/datapipes/iter/selecting.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/iter copying torch/utils/data/datapipes/iter/combinatorics.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/iter copying torch/utils/data/datapipes/iter/grouping.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/iter copying torch/utils/data/datapipes/iter/callable.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/iter creating build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/dataframe copying torch/utils/data/datapipes/dataframe/dataframes.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/dataframe copying torch/utils/data/datapipes/dataframe/dataframe_wrapper.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/dataframe copying torch/utils/data/datapipes/dataframe/structures.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/dataframe copying torch/utils/data/datapipes/dataframe/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/dataframe copying torch/utils/data/datapipes/dataframe/datapipes.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/dataframe creating build/lib.linux-x86_64-cpython-310/torch/fx/experimental copying torch/fx/experimental/normalize.py -> build/lib.linux-x86_64-cpython-310/torch/fx/experimental copying torch/fx/experimental/optimization.py -> build/lib.linux-x86_64-cpython-310/torch/fx/experimental copying torch/fx/experimental/merge_matmul.py -> build/lib.linux-x86_64-cpython-310/torch/fx/experimental copying torch/fx/experimental/symbolic_shapes.py -> build/lib.linux-x86_64-cpython-310/torch/fx/experimental copying torch/fx/experimental/rewriter.py -> build/lib.linux-x86_64-cpython-310/torch/fx/experimental copying torch/fx/experimental/graph_gradual_typechecker.py -> build/lib.linux-x86_64-cpython-310/torch/fx/experimental copying torch/fx/experimental/debug.py -> build/lib.linux-x86_64-cpython-310/torch/fx/experimental copying torch/fx/experimental/unify_refinements.py -> build/lib.linux-x86_64-cpython-310/torch/fx/experimental copying torch/fx/experimental/partitioner_utils.py -> build/lib.linux-x86_64-cpython-310/torch/fx/experimental copying torch/fx/experimental/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/fx/experimental copying torch/fx/experimental/proxy_tensor.py -> build/lib.linux-x86_64-cpython-310/torch/fx/experimental copying torch/fx/experimental/schema_type_annotation.py -> build/lib.linux-x86_64-cpython-310/torch/fx/experimental copying torch/fx/experimental/accelerator_partitioner.py -> build/lib.linux-x86_64-cpython-310/torch/fx/experimental copying torch/fx/experimental/const_fold.py -> build/lib.linux-x86_64-cpython-310/torch/fx/experimental copying torch/fx/experimental/meta_tracer.py -> build/lib.linux-x86_64-cpython-310/torch/fx/experimental copying torch/fx/experimental/refinement_types.py -> build/lib.linux-x86_64-cpython-310/torch/fx/experimental creating build/lib.linux-x86_64-cpython-310/torch/fx/passes copying torch/fx/passes/graph_drawer.py -> build/lib.linux-x86_64-cpython-310/torch/fx/passes copying torch/fx/passes/splitter_base.py -> build/lib.linux-x86_64-cpython-310/torch/fx/passes copying torch/fx/passes/tools_common.py -> build/lib.linux-x86_64-cpython-310/torch/fx/passes copying torch/fx/passes/split_utils.py -> build/lib.linux-x86_64-cpython-310/torch/fx/passes copying torch/fx/passes/annotate_getitem_nodes.py -> build/lib.linux-x86_64-cpython-310/torch/fx/passes copying torch/fx/passes/fake_tensor_prop.py -> build/lib.linux-x86_64-cpython-310/torch/fx/passes copying torch/fx/passes/operator_support.py -> build/lib.linux-x86_64-cpython-310/torch/fx/passes copying torch/fx/passes/param_fetch.py -> build/lib.linux-x86_64-cpython-310/torch/fx/passes copying torch/fx/passes/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/fx/passes copying torch/fx/passes/reinplace.py -> build/lib.linux-x86_64-cpython-310/torch/fx/passes copying torch/fx/passes/split_module.py -> build/lib.linux-x86_64-cpython-310/torch/fx/passes copying torch/fx/passes/graph_manipulation.py -> build/lib.linux-x86_64-cpython-310/torch/fx/passes copying torch/fx/passes/net_min_base.py -> build/lib.linux-x86_64-cpython-310/torch/fx/passes copying torch/fx/passes/shape_prop.py -> build/lib.linux-x86_64-cpython-310/torch/fx/passes copying torch/fx/passes/pass_manager.py -> build/lib.linux-x86_64-cpython-310/torch/fx/passes creating build/lib.linux-x86_64-cpython-310/torch/fx/experimental/migrate_gradual_types copying torch/fx/experimental/migrate_gradual_types/constraint_generator.py -> build/lib.linux-x86_64-cpython-310/torch/fx/experimental/migrate_gradual_types copying torch/fx/experimental/migrate_gradual_types/constraint_transformation.py -> build/lib.linux-x86_64-cpython-310/torch/fx/experimental/migrate_gradual_types copying torch/fx/experimental/migrate_gradual_types/z3_types.py -> build/lib.linux-x86_64-cpython-310/torch/fx/experimental/migrate_gradual_types copying torch/fx/experimental/migrate_gradual_types/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/fx/experimental/migrate_gradual_types copying torch/fx/experimental/migrate_gradual_types/transform_to_z3.py -> build/lib.linux-x86_64-cpython-310/torch/fx/experimental/migrate_gradual_types copying torch/fx/experimental/migrate_gradual_types/util.py -> build/lib.linux-x86_64-cpython-310/torch/fx/experimental/migrate_gradual_types copying torch/fx/experimental/migrate_gradual_types/operation.py -> build/lib.linux-x86_64-cpython-310/torch/fx/experimental/migrate_gradual_types copying torch/fx/experimental/migrate_gradual_types/constraint.py -> build/lib.linux-x86_64-cpython-310/torch/fx/experimental/migrate_gradual_types creating build/lib.linux-x86_64-cpython-310/torch/fx/experimental/unification copying torch/fx/experimental/unification/variable.py -> build/lib.linux-x86_64-cpython-310/torch/fx/experimental/unification copying torch/fx/experimental/unification/utils.py -> build/lib.linux-x86_64-cpython-310/torch/fx/experimental/unification copying torch/fx/experimental/unification/match.py -> build/lib.linux-x86_64-cpython-310/torch/fx/experimental/unification copying torch/fx/experimental/unification/more.py -> build/lib.linux-x86_64-cpython-310/torch/fx/experimental/unification copying torch/fx/experimental/unification/core.py -> build/lib.linux-x86_64-cpython-310/torch/fx/experimental/unification copying torch/fx/experimental/unification/unification_tools.py -> build/lib.linux-x86_64-cpython-310/torch/fx/experimental/unification copying torch/fx/experimental/unification/dispatch.py -> build/lib.linux-x86_64-cpython-310/torch/fx/experimental/unification copying torch/fx/experimental/unification/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/fx/experimental/unification creating build/lib.linux-x86_64-cpython-310/torch/fx/experimental/unification/multipledispatch copying torch/fx/experimental/unification/multipledispatch/dispatcher.py -> build/lib.linux-x86_64-cpython-310/torch/fx/experimental/unification/multipledispatch copying torch/fx/experimental/unification/multipledispatch/utils.py -> build/lib.linux-x86_64-cpython-310/torch/fx/experimental/unification/multipledispatch copying torch/fx/experimental/unification/multipledispatch/core.py -> build/lib.linux-x86_64-cpython-310/torch/fx/experimental/unification/multipledispatch copying torch/fx/experimental/unification/multipledispatch/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/fx/experimental/unification/multipledispatch copying torch/fx/experimental/unification/multipledispatch/conflict.py -> build/lib.linux-x86_64-cpython-310/torch/fx/experimental/unification/multipledispatch copying torch/fx/experimental/unification/multipledispatch/variadic.py -> build/lib.linux-x86_64-cpython-310/torch/fx/experimental/unification/multipledispatch creating build/lib.linux-x86_64-cpython-310/torch/fx/passes/dialect copying torch/fx/passes/dialect/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/fx/passes/dialect creating build/lib.linux-x86_64-cpython-310/torch/fx/passes/backends copying torch/fx/passes/backends/cudagraphs.py -> build/lib.linux-x86_64-cpython-310/torch/fx/passes/backends copying torch/fx/passes/backends/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/fx/passes/backends creating build/lib.linux-x86_64-cpython-310/torch/fx/passes/infra copying torch/fx/passes/infra/partitioner.py -> build/lib.linux-x86_64-cpython-310/torch/fx/passes/infra copying torch/fx/passes/infra/pass_base.py -> build/lib.linux-x86_64-cpython-310/torch/fx/passes/infra copying torch/fx/passes/infra/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/fx/passes/infra copying torch/fx/passes/infra/pass_manager.py -> build/lib.linux-x86_64-cpython-310/torch/fx/passes/infra creating build/lib.linux-x86_64-cpython-310/torch/fx/passes/utils copying torch/fx/passes/utils/matcher_utils.py -> build/lib.linux-x86_64-cpython-310/torch/fx/passes/utils copying torch/fx/passes/utils/fuser_utils.py -> build/lib.linux-x86_64-cpython-310/torch/fx/passes/utils copying torch/fx/passes/utils/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/fx/passes/utils copying torch/fx/passes/utils/common.py -> build/lib.linux-x86_64-cpython-310/torch/fx/passes/utils creating build/lib.linux-x86_64-cpython-310/torch/fx/passes/tests copying torch/fx/passes/tests/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/fx/passes/tests copying torch/fx/passes/tests/test_pass_manager.py -> build/lib.linux-x86_64-cpython-310/torch/fx/passes/tests creating build/lib.linux-x86_64-cpython-310/torch/fx/passes/dialect/common copying torch/fx/passes/dialect/common/cse_pass.py -> build/lib.linux-x86_64-cpython-310/torch/fx/passes/dialect/common copying torch/fx/passes/dialect/common/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/fx/passes/dialect/common creating build/lib.linux-x86_64-cpython-310/torch/package/analyze copying torch/package/analyze/is_from_package.py -> build/lib.linux-x86_64-cpython-310/torch/package/analyze copying torch/package/analyze/trace_dependencies.py -> build/lib.linux-x86_64-cpython-310/torch/package/analyze copying torch/package/analyze/find_first_use_of_broken_modules.py -> build/lib.linux-x86_64-cpython-310/torch/package/analyze copying torch/package/analyze/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/package/analyze creating build/lib.linux-x86_64-cpython-310/torch/onnx/_internal copying torch/onnx/_internal/onnx_proto_utils.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal copying torch/onnx/_internal/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal copying torch/onnx/_internal/jit_utils.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal copying torch/onnx/_internal/registration.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal copying torch/onnx/_internal/_beartype.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal creating build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/fx copying torch/onnx/_internal/fx/diagnostics.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/fx copying torch/onnx/_internal/fx/context.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/fx copying torch/onnx/_internal/fx/exporter.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/fx copying torch/onnx/_internal/fx/options.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/fx copying torch/onnx/_internal/fx/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/fx copying torch/onnx/_internal/fx/function_dispatcher.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/fx creating build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics copying torch/onnx/_internal/diagnostics/_rules.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics copying torch/onnx/_internal/diagnostics/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics copying torch/onnx/_internal/diagnostics/_diagnostic.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics creating build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra copying torch/onnx/_internal/diagnostics/infra/_infra.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra copying torch/onnx/_internal/diagnostics/infra/utils.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra copying torch/onnx/_internal/diagnostics/infra/formatter.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra copying torch/onnx/_internal/diagnostics/infra/engine.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra copying torch/onnx/_internal/diagnostics/infra/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra copying torch/onnx/_internal/diagnostics/infra/decorator.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra creating build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_graph_traversal.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_message.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_artifact_change.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_version_control_details.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_external_properties.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_result.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_tool_component_reference.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_reporting_descriptor.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_node.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_location.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_run.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_rectangle.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_run_automation_details.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_artifact_content.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_configuration_override.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_conversion.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_edge.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_sarif_log.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_exception.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_edge_traversal.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_result_provenance.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_thread_flow.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_suppression.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_reporting_descriptor_reference.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_web_response.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_fix.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_special_locations.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_external_property_file_references.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_notification.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_replacement.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_invocation.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_web_request.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_graph.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_stack.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_tool.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_multiformat_message_string.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_code_flow.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/version.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_logical_location.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_external_property_file_reference.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_region.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_property_bag.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_translation_metadata.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_stack_frame.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_thread_flow_location.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_artifact_location.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_tool_component.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_location_relationship.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_artifact.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_reporting_descriptor_relationship.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_address.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_physical_location.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_attachment.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_reporting_configuration.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif creating build/lib.linux-x86_64-cpython-310/torch/testing/_internal copying torch/testing/_internal/common_modules.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal copying torch/testing/_internal/logging_tensor.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal copying torch/testing/_internal/composite_compliance.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal copying torch/testing/_internal/common_fsdp.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal copying torch/testing/_internal/common_dist_composable.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal copying torch/testing/_internal/common_device_type.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal copying torch/testing/_internal/common_quantization.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal copying torch/testing/_internal/common_utils.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal copying torch/testing/_internal/common_jit.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal copying torch/testing/_internal/check_kernel_launches.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal copying torch/testing/_internal/common_quantized.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal copying torch/testing/_internal/common_methods_invocations.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal copying torch/testing/_internal/autograd_function_db.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal copying torch/testing/_internal/inductor_utils.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal copying torch/testing/_internal/common_distributed.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal copying torch/testing/_internal/common_subclass.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal copying torch/testing/_internal/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal copying torch/testing/_internal/common_pruning.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal copying torch/testing/_internal/quantization_torch_package_models.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal copying torch/testing/_internal/jit_utils.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal copying torch/testing/_internal/autocast_test_lists.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal copying torch/testing/_internal/common_cuda.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal copying torch/testing/_internal/common_dtype.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal copying torch/testing/_internal/schema_check_mode.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal copying torch/testing/_internal/dist_utils.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal copying torch/testing/_internal/hypothesis_utils.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal copying torch/testing/_internal/jit_metaprogramming_utils.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal copying torch/testing/_internal/common_nn.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal creating build/lib.linux-x86_64-cpython-310/torch/testing/_internal/generated copying torch/testing/_internal/generated/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/generated copying torch/testing/_internal/generated/annotated_fn_args.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/generated creating build/lib.linux-x86_64-cpython-310/torch/testing/_internal/codegen copying torch/testing/_internal/codegen/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/codegen copying torch/testing/_internal/codegen/random_topo_test.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/codegen creating build/lib.linux-x86_64-cpython-310/torch/testing/_internal/data copying torch/testing/_internal/data/network2.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/data copying torch/testing/_internal/data/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/data copying torch/testing/_internal/data/network1.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/data creating build/lib.linux-x86_64-cpython-310/torch/testing/_internal/opinfo copying torch/testing/_internal/opinfo/utils.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/opinfo copying torch/testing/_internal/opinfo/core.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/opinfo copying torch/testing/_internal/opinfo/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/opinfo copying torch/testing/_internal/opinfo/refs.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/opinfo creating build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed copying torch/testing/_internal/distributed/distributed_test.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed copying torch/testing/_internal/distributed/ddp_under_dist_autograd_test.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed copying torch/testing/_internal/distributed/distributed_utils.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed copying torch/testing/_internal/distributed/pipe_with_ddp_test.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed copying torch/testing/_internal/distributed/rpc_utils.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed copying torch/testing/_internal/distributed/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed copying torch/testing/_internal/distributed/multi_threaded_pg.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed copying torch/testing/_internal/distributed/checkpoint_utils.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed creating build/lib.linux-x86_64-cpython-310/torch/testing/_internal/test_module copying torch/testing/_internal/test_module/no_future_div.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/test_module copying torch/testing/_internal/test_module/future_div.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/test_module copying torch/testing/_internal/test_module/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/test_module creating build/lib.linux-x86_64-cpython-310/torch/testing/_internal/opinfo/definitions copying torch/testing/_internal/opinfo/definitions/signal.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/opinfo/definitions copying torch/testing/_internal/opinfo/definitions/linalg.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/opinfo/definitions copying torch/testing/_internal/opinfo/definitions/_masked.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/opinfo/definitions copying torch/testing/_internal/opinfo/definitions/special.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/opinfo/definitions copying torch/testing/_internal/opinfo/definitions/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/opinfo/definitions copying torch/testing/_internal/opinfo/definitions/fft.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/opinfo/definitions creating build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/nn copying torch/testing/_internal/distributed/nn/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/nn creating build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/_tensor copying torch/testing/_internal/distributed/_tensor/common_dtensor.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/_tensor copying torch/testing/_internal/distributed/_tensor/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/_tensor creating build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/pipeline copying torch/testing/_internal/distributed/pipeline/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/pipeline creating build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/_shard copying torch/testing/_internal/distributed/_shard/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/_shard copying torch/testing/_internal/distributed/_shard/test_common.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/_shard creating build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/rpc copying torch/testing/_internal/distributed/rpc/dist_optimizer_test.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/rpc copying torch/testing/_internal/distributed/rpc/rpc_test.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/rpc copying torch/testing/_internal/distributed/rpc/faulty_rpc_agent_test_fixture.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/rpc copying torch/testing/_internal/distributed/rpc/faulty_agent_rpc_test.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/rpc copying torch/testing/_internal/distributed/rpc/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/rpc copying torch/testing/_internal/distributed/rpc/dist_autograd_test.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/rpc copying torch/testing/_internal/distributed/rpc/rpc_agent_test_fixture.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/rpc copying torch/testing/_internal/distributed/rpc/tensorpipe_rpc_agent_test_fixture.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/rpc creating build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/nn/api copying torch/testing/_internal/distributed/nn/api/remote_module_test.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/nn/api copying torch/testing/_internal/distributed/nn/api/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/nn/api creating build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/_shard/sharded_tensor copying torch/testing/_internal/distributed/_shard/sharded_tensor/_test_st_common.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/_shard/sharded_tensor copying torch/testing/_internal/distributed/_shard/sharded_tensor/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/_shard/sharded_tensor copying torch/testing/_internal/distributed/_shard/sharded_tensor/_test_ops_common.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/_shard/sharded_tensor creating build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/rpc/examples copying torch/testing/_internal/distributed/rpc/examples/parameter_server_test.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/rpc/examples copying torch/testing/_internal/distributed/rpc/examples/reinforcement_learning_rpc_test.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/rpc/examples copying torch/testing/_internal/distributed/rpc/examples/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/rpc/examples creating build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/rpc/jit copying torch/testing/_internal/distributed/rpc/jit/rpc_test_faulty.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/rpc/jit copying torch/testing/_internal/distributed/rpc/jit/rpc_test.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/rpc/jit copying torch/testing/_internal/distributed/rpc/jit/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/rpc/jit copying torch/testing/_internal/distributed/rpc/jit/dist_autograd_test.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/rpc/jit creating build/lib.linux-x86_64-cpython-310/torch/quantization/fx copying torch/quantization/fx/utils.py -> build/lib.linux-x86_64-cpython-310/torch/quantization/fx copying torch/quantization/fx/_equalize.py -> build/lib.linux-x86_64-cpython-310/torch/quantization/fx copying torch/quantization/fx/fuse.py -> build/lib.linux-x86_64-cpython-310/torch/quantization/fx copying torch/quantization/fx/fusion_patterns.py -> build/lib.linux-x86_64-cpython-310/torch/quantization/fx copying torch/quantization/fx/prepare.py -> build/lib.linux-x86_64-cpython-310/torch/quantization/fx copying torch/quantization/fx/quantization_types.py -> build/lib.linux-x86_64-cpython-310/torch/quantization/fx copying torch/quantization/fx/pattern_utils.py -> build/lib.linux-x86_64-cpython-310/torch/quantization/fx copying torch/quantization/fx/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/quantization/fx copying torch/quantization/fx/graph_module.py -> build/lib.linux-x86_64-cpython-310/torch/quantization/fx copying torch/quantization/fx/quantization_patterns.py -> build/lib.linux-x86_64-cpython-310/torch/quantization/fx copying torch/quantization/fx/match_utils.py -> build/lib.linux-x86_64-cpython-310/torch/quantization/fx copying torch/quantization/fx/convert.py -> build/lib.linux-x86_64-cpython-310/torch/quantization/fx creating build/lib.linux-x86_64-cpython-310/torch/distributed/checkpoint copying torch/distributed/checkpoint/planner_helpers.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/checkpoint copying torch/distributed/checkpoint/storage.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/checkpoint copying torch/distributed/checkpoint/optimizer.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/checkpoint copying torch/distributed/checkpoint/utils.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/checkpoint copying torch/distributed/checkpoint/_traverse.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/checkpoint copying torch/distributed/checkpoint/_sharded_tensor_utils.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/checkpoint copying torch/distributed/checkpoint/planner.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/checkpoint copying torch/distributed/checkpoint/_nested_dict.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/checkpoint copying torch/distributed/checkpoint/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/checkpoint copying torch/distributed/checkpoint/filesystem.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/checkpoint copying torch/distributed/checkpoint/_dedup_tensors.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/checkpoint copying torch/distributed/checkpoint/metadata.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/checkpoint copying torch/distributed/checkpoint/default_planner.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/checkpoint copying torch/distributed/checkpoint/state_dict_saver.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/checkpoint copying torch/distributed/checkpoint/resharding.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/checkpoint copying torch/distributed/checkpoint/state_dict_loader.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/checkpoint copying torch/distributed/checkpoint/api.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/checkpoint creating build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp copying torch/distributed/fsdp/wrap.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp copying torch/distributed/fsdp/_trace_utils.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp copying torch/distributed/fsdp/_fsdp_extensions.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp copying torch/distributed/fsdp/_state_dict_utils.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp copying torch/distributed/fsdp/_limiter_utils.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp copying torch/distributed/fsdp/_traversal_utils.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp copying torch/distributed/fsdp/_unshard_param_utils.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp copying torch/distributed/fsdp/_init_utils.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp copying torch/distributed/fsdp/_shard_utils.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp copying torch/distributed/fsdp/_dynamo_utils.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp copying torch/distributed/fsdp/_common_utils.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp copying torch/distributed/fsdp/_utils.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp copying torch/distributed/fsdp/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp copying torch/distributed/fsdp/fully_sharded_data_parallel.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp copying torch/distributed/fsdp/_exec_order_utils.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp copying torch/distributed/fsdp/_runtime_utils.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp copying torch/distributed/fsdp/sharded_grad_scaler.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp copying torch/distributed/fsdp/api.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp copying torch/distributed/fsdp/flat_param.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp copying torch/distributed/fsdp/_wrap_utils.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp copying torch/distributed/fsdp/_optim_utils.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp creating build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms copying torch/distributed/algorithms/join.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms copying torch/distributed/algorithms/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms creating build/lib.linux-x86_64-cpython-310/torch/distributed/nn copying torch/distributed/nn/functional.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/nn copying torch/distributed/nn/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/nn creating build/lib.linux-x86_64-cpython-310/torch/distributed/launcher copying torch/distributed/launcher/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/launcher copying torch/distributed/launcher/api.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/launcher creating build/lib.linux-x86_64-cpython-310/torch/distributed/autograd copying torch/distributed/autograd/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/autograd creating build/lib.linux-x86_64-cpython-310/torch/distributed/_sharding_spec copying torch/distributed/_sharding_spec/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_sharding_spec creating build/lib.linux-x86_64-cpython-310/torch/distributed/optim copying torch/distributed/optim/post_localSGD_optimizer.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/optim copying torch/distributed/optim/optimizer.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/optim copying torch/distributed/optim/utils.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/optim copying torch/distributed/optim/functional_adam.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/optim copying torch/distributed/optim/functional_sgd.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/optim copying torch/distributed/optim/zero_redundancy_optimizer.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/optim copying torch/distributed/optim/functional_rprop.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/optim copying torch/distributed/optim/named_optimizer.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/optim copying torch/distributed/optim/functional_rmsprop.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/optim copying torch/distributed/optim/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/optim copying torch/distributed/optim/functional_adamax.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/optim copying torch/distributed/optim/apply_optimizer_in_backward.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/optim copying torch/distributed/optim/functional_adadelta.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/optim copying torch/distributed/optim/functional_adagrad.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/optim copying torch/distributed/optim/functional_adamw.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/optim creating build/lib.linux-x86_64-cpython-310/torch/distributed/_composable copying torch/distributed/_composable/checkpoint_activation.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_composable copying torch/distributed/_composable/contract.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_composable copying torch/distributed/_composable/_ddp.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_composable copying torch/distributed/_composable/replicate.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_composable copying torch/distributed/_composable/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_composable copying torch/distributed/_composable/fully_shard.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_composable creating build/lib.linux-x86_64-cpython-310/torch/distributed/_tensor copying torch/distributed/_tensor/redistribute.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_tensor copying torch/distributed/_tensor/placement_types.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_tensor copying torch/distributed/_tensor/dispatch.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_tensor copying torch/distributed/_tensor/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_tensor copying torch/distributed/_tensor/op_schema.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_tensor copying torch/distributed/_tensor/device_mesh.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_tensor copying torch/distributed/_tensor/sharding_prop.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_tensor copying torch/distributed/_tensor/api.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_tensor creating build/lib.linux-x86_64-cpython-310/torch/distributed/tensor copying torch/distributed/tensor/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/tensor creating build/lib.linux-x86_64-cpython-310/torch/distributed/_sharded_tensor copying torch/distributed/_sharded_tensor/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_sharded_tensor creating build/lib.linux-x86_64-cpython-310/torch/distributed/elastic copying torch/distributed/elastic/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic creating build/lib.linux-x86_64-cpython-310/torch/distributed/_spmd copying torch/distributed/_spmd/comm_tensor.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_spmd copying torch/distributed/_spmd/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_spmd creating build/lib.linux-x86_64-cpython-310/torch/distributed/_tools copying torch/distributed/_tools/memory_tracker.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_tools copying torch/distributed/_tools/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_tools creating build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline copying torch/distributed/pipeline/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline creating build/lib.linux-x86_64-cpython-310/torch/distributed/_shard copying torch/distributed/_shard/partial_tensor.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard copying torch/distributed/_shard/replicated_tensor.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard copying torch/distributed/_shard/sharder.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard copying torch/distributed/_shard/_utils.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard copying torch/distributed/_shard/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard copying torch/distributed/_shard/common_op_utils.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard copying torch/distributed/_shard/metadata.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard copying torch/distributed/_shard/op_registry_utils.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard copying torch/distributed/_shard/api.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard creating build/lib.linux-x86_64-cpython-310/torch/distributed/rpc copying torch/distributed/rpc/backend_registry.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/rpc copying torch/distributed/rpc/internal.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/rpc copying torch/distributed/rpc/rref_proxy.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/rpc copying torch/distributed/rpc/options.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/rpc copying torch/distributed/rpc/functions.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/rpc copying torch/distributed/rpc/_utils.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/rpc copying torch/distributed/rpc/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/rpc copying torch/distributed/rpc/api.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/rpc copying torch/distributed/rpc/server_process_global_profiler.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/rpc copying torch/distributed/rpc/constants.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/rpc creating build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/_checkpoint copying torch/distributed/algorithms/_checkpoint/checkpoint_wrapper.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/_checkpoint copying torch/distributed/algorithms/_checkpoint/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/_checkpoint creating build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/model_averaging copying torch/distributed/algorithms/model_averaging/utils.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/model_averaging copying torch/distributed/algorithms/model_averaging/hierarchical_model_averager.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/model_averaging copying torch/distributed/algorithms/model_averaging/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/model_averaging copying torch/distributed/algorithms/model_averaging/averagers.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/model_averaging creating build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/_comm_hooks copying torch/distributed/algorithms/_comm_hooks/default_hooks.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/_comm_hooks copying torch/distributed/algorithms/_comm_hooks/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/_comm_hooks creating build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/ddp_comm_hooks copying torch/distributed/algorithms/ddp_comm_hooks/ddp_zero_hook.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/ddp_comm_hooks copying torch/distributed/algorithms/ddp_comm_hooks/optimizer_overlap_hooks.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/ddp_comm_hooks copying torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/ddp_comm_hooks copying torch/distributed/algorithms/ddp_comm_hooks/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/ddp_comm_hooks copying torch/distributed/algorithms/ddp_comm_hooks/quantization_hooks.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/ddp_comm_hooks copying torch/distributed/algorithms/ddp_comm_hooks/powerSGD_hook.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/ddp_comm_hooks copying torch/distributed/algorithms/ddp_comm_hooks/post_localSGD_hook.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/ddp_comm_hooks copying torch/distributed/algorithms/ddp_comm_hooks/debugging_hooks.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/ddp_comm_hooks creating build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/_quantization copying torch/distributed/algorithms/_quantization/quantization.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/_quantization copying torch/distributed/algorithms/_quantization/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/_quantization creating build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/_optimizer_overlap copying torch/distributed/algorithms/_optimizer_overlap/optimizer_overlap.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/_optimizer_overlap copying torch/distributed/algorithms/_optimizer_overlap/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/_optimizer_overlap creating build/lib.linux-x86_64-cpython-310/torch/distributed/nn/jit copying torch/distributed/nn/jit/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/nn/jit copying torch/distributed/nn/jit/instantiator.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/nn/jit creating build/lib.linux-x86_64-cpython-310/torch/distributed/nn/api copying torch/distributed/nn/api/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/nn/api copying torch/distributed/nn/api/remote_module.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/nn/api creating build/lib.linux-x86_64-cpython-310/torch/distributed/nn/jit/templates copying torch/distributed/nn/jit/templates/remote_module_template.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/nn/jit/templates copying torch/distributed/nn/jit/templates/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/nn/jit/templates creating build/lib.linux-x86_64-cpython-310/torch/distributed/_tensor/ops copying torch/distributed/_tensor/ops/matrix_ops.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_tensor/ops copying torch/distributed/_tensor/ops/utils.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_tensor/ops copying torch/distributed/_tensor/ops/math_ops.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_tensor/ops copying torch/distributed/_tensor/ops/pointwise_ops.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_tensor/ops copying torch/distributed/_tensor/ops/view_ops.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_tensor/ops copying torch/distributed/_tensor/ops/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_tensor/ops copying torch/distributed/_tensor/ops/tensor_ops.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_tensor/ops copying torch/distributed/_tensor/ops/common_rules.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_tensor/ops creating build/lib.linux-x86_64-cpython-310/torch/distributed/tensor/parallel copying torch/distributed/tensor/parallel/_view_with_dim_change.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/tensor/parallel copying torch/distributed/tensor/parallel/multihead_attention_tp.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/tensor/parallel copying torch/distributed/tensor/parallel/_utils.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/tensor/parallel copying torch/distributed/tensor/parallel/style.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/tensor/parallel copying torch/distributed/tensor/parallel/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/tensor/parallel copying torch/distributed/tensor/parallel/api.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/tensor/parallel copying torch/distributed/tensor/parallel/fsdp.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/tensor/parallel creating build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/agent copying torch/distributed/elastic/agent/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/agent creating build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/metrics copying torch/distributed/elastic/metrics/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/metrics copying torch/distributed/elastic/metrics/api.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/metrics creating build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/events copying torch/distributed/elastic/events/handlers.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/events copying torch/distributed/elastic/events/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/events copying torch/distributed/elastic/events/api.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/events creating build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/utils copying torch/distributed/elastic/utils/logging.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/utils copying torch/distributed/elastic/utils/distributed.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/utils copying torch/distributed/elastic/utils/log_level.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/utils copying torch/distributed/elastic/utils/store.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/utils copying torch/distributed/elastic/utils/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/utils copying torch/distributed/elastic/utils/api.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/utils creating build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/multiprocessing copying torch/distributed/elastic/multiprocessing/tail_log.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/multiprocessing copying torch/distributed/elastic/multiprocessing/redirects.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/multiprocessing copying torch/distributed/elastic/multiprocessing/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/multiprocessing copying torch/distributed/elastic/multiprocessing/api.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/multiprocessing creating build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/timer copying torch/distributed/elastic/timer/local_timer.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/timer copying torch/distributed/elastic/timer/file_based_local_timer.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/timer copying torch/distributed/elastic/timer/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/timer copying torch/distributed/elastic/timer/api.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/timer creating build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/rendezvous copying torch/distributed/elastic/rendezvous/etcd_server.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/rendezvous copying torch/distributed/elastic/rendezvous/utils.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/rendezvous copying torch/distributed/elastic/rendezvous/c10d_rendezvous_backend.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/rendezvous copying torch/distributed/elastic/rendezvous/registry.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/rendezvous copying torch/distributed/elastic/rendezvous/etcd_rendezvous_backend.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/rendezvous copying torch/distributed/elastic/rendezvous/static_tcp_rendezvous.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/rendezvous copying torch/distributed/elastic/rendezvous/etcd_store.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/rendezvous copying torch/distributed/elastic/rendezvous/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/rendezvous copying torch/distributed/elastic/rendezvous/dynamic_rendezvous.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/rendezvous copying torch/distributed/elastic/rendezvous/api.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/rendezvous copying torch/distributed/elastic/rendezvous/etcd_rendezvous.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/rendezvous creating build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/agent/server copying torch/distributed/elastic/agent/server/local_elastic_agent.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/agent/server copying torch/distributed/elastic/agent/server/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/agent/server copying torch/distributed/elastic/agent/server/api.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/agent/server creating build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/utils/data copying torch/distributed/elastic/utils/data/cycling_iterator.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/utils/data copying torch/distributed/elastic/utils/data/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/utils/data copying torch/distributed/elastic/utils/data/elastic_distributed_sampler.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/utils/data creating build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/multiprocessing/errors copying torch/distributed/elastic/multiprocessing/errors/handlers.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/multiprocessing/errors copying torch/distributed/elastic/multiprocessing/errors/error_handler.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/multiprocessing/errors copying torch/distributed/elastic/multiprocessing/errors/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/multiprocessing/errors creating build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync copying torch/distributed/pipeline/sync/pipe.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync copying torch/distributed/pipeline/sync/microbatch.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync copying torch/distributed/pipeline/sync/utils.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync copying torch/distributed/pipeline/sync/checkpoint.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync copying torch/distributed/pipeline/sync/pipeline.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync copying torch/distributed/pipeline/sync/stream.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync copying torch/distributed/pipeline/sync/phony.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync copying torch/distributed/pipeline/sync/copy.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync copying torch/distributed/pipeline/sync/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync copying torch/distributed/pipeline/sync/dependency.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync copying torch/distributed/pipeline/sync/batchnorm.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync copying torch/distributed/pipeline/sync/worker.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync creating build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync/skip copying torch/distributed/pipeline/sync/skip/tracker.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync/skip copying torch/distributed/pipeline/sync/skip/skippable.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync/skip copying torch/distributed/pipeline/sync/skip/namespace.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync/skip copying torch/distributed/pipeline/sync/skip/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync/skip copying torch/distributed/pipeline/sync/skip/portal.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync/skip copying torch/distributed/pipeline/sync/skip/layout.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync/skip creating build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync/_balance copying torch/distributed/pipeline/sync/_balance/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync/_balance copying torch/distributed/pipeline/sync/_balance/blockpartition.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync/_balance copying torch/distributed/pipeline/sync/_balance/profile.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync/_balance creating build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/checkpoint copying torch/distributed/_shard/checkpoint/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/checkpoint creating build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharded_tensor copying torch/distributed/_shard/sharded_tensor/reshard.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharded_tensor copying torch/distributed/_shard/sharded_tensor/utils.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharded_tensor copying torch/distributed/_shard/sharded_tensor/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharded_tensor copying torch/distributed/_shard/sharded_tensor/metadata.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharded_tensor copying torch/distributed/_shard/sharded_tensor/api.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharded_tensor copying torch/distributed/_shard/sharded_tensor/shard.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharded_tensor creating build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharding_spec copying torch/distributed/_shard/sharding_spec/_internals.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharding_spec copying torch/distributed/_shard/sharding_spec/chunk_sharding_spec.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharding_spec copying torch/distributed/_shard/sharding_spec/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharding_spec copying torch/distributed/_shard/sharding_spec/api.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharding_spec creating build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharding_plan copying torch/distributed/_shard/sharding_plan/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharding_plan copying torch/distributed/_shard/sharding_plan/api.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharding_plan creating build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharded_optim copying torch/distributed/_shard/sharded_optim/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharded_optim copying torch/distributed/_shard/sharded_optim/api.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharded_optim creating build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharded_tensor/_ops copying torch/distributed/_shard/sharded_tensor/_ops/_common.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharded_tensor/_ops copying torch/distributed/_shard/sharded_tensor/_ops/init.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharded_tensor/_ops copying torch/distributed/_shard/sharded_tensor/_ops/matrix_ops.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharded_tensor/_ops copying torch/distributed/_shard/sharded_tensor/_ops/math_ops.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharded_tensor/_ops copying torch/distributed/_shard/sharded_tensor/_ops/binary_cmp.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharded_tensor/_ops copying torch/distributed/_shard/sharded_tensor/_ops/chunk.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharded_tensor/_ops copying torch/distributed/_shard/sharded_tensor/_ops/misc_ops.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharded_tensor/_ops copying torch/distributed/_shard/sharded_tensor/_ops/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharded_tensor/_ops copying torch/distributed/_shard/sharded_tensor/_ops/tensor_ops.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharded_tensor/_ops copying torch/distributed/_shard/sharded_tensor/_ops/elementwise_ops.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharded_tensor/_ops creating build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops copying torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops/_common.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops copying torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops/embedding.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops copying torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops/matrix_ops.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops copying torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops/math_ops.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops copying torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops copying torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops/embedding_bag.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops copying torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops/softmax.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops copying torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops/linear.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops creating build/lib.linux-x86_64-cpython-310/torch/distributed/rpc/_testing copying torch/distributed/rpc/_testing/faulty_agent_backend_registry.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/rpc/_testing copying torch/distributed/rpc/_testing/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/rpc/_testing creating build/lib.linux-x86_64-cpython-310/torch/cuda/amp copying torch/cuda/amp/grad_scaler.py -> build/lib.linux-x86_64-cpython-310/torch/cuda/amp copying torch/cuda/amp/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/cuda/amp copying torch/cuda/amp/common.py -> build/lib.linux-x86_64-cpython-310/torch/cuda/amp copying torch/cuda/amp/autocast_mode.py -> build/lib.linux-x86_64-cpython-310/torch/cuda/amp creating build/lib.linux-x86_64-cpython-310/torch/_dynamo/backends copying torch/_dynamo/backends/distributed.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo/backends copying torch/_dynamo/backends/torchxla.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo/backends copying torch/_dynamo/backends/cudagraphs.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo/backends copying torch/_dynamo/backends/nvfuser.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo/backends copying torch/_dynamo/backends/inductor.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo/backends copying torch/_dynamo/backends/tensorrt.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo/backends copying torch/_dynamo/backends/registry.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo/backends copying torch/_dynamo/backends/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo/backends copying torch/_dynamo/backends/common.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo/backends copying torch/_dynamo/backends/onnxrt.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo/backends copying torch/_dynamo/backends/debugging.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo/backends copying torch/_dynamo/backends/ipex.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo/backends copying torch/_dynamo/backends/tvm.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo/backends creating build/lib.linux-x86_64-cpython-310/torch/_dynamo/variables copying torch/_dynamo/variables/base.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo/variables copying torch/_dynamo/variables/builtin.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo/variables copying torch/_dynamo/variables/user_defined.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo/variables copying torch/_dynamo/variables/torch.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo/variables copying torch/_dynamo/variables/builder.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo/variables copying torch/_dynamo/variables/constant.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo/variables copying torch/_dynamo/variables/lists.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo/variables copying torch/_dynamo/variables/functions.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo/variables copying torch/_dynamo/variables/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo/variables copying torch/_dynamo/variables/nn_module.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo/variables copying torch/_dynamo/variables/misc.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo/variables copying torch/_dynamo/variables/tensor.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo/variables copying torch/_dynamo/variables/dicts.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo/variables creating build/lib.linux-x86_64-cpython-310/torch/signal/windows copying torch/signal/windows/windows.py -> build/lib.linux-x86_64-cpython-310/torch/signal/windows copying torch/signal/windows/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/signal/windows creating build/lib.linux-x86_64-cpython-310/torch/cpu/amp copying torch/cpu/amp/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/cpu/amp copying torch/cpu/amp/autocast_mode.py -> build/lib.linux-x86_64-cpython-310/torch/cpu/amp creating build/lib.linux-x86_64-cpython-310/torchgen/selective_build copying torchgen/selective_build/selector.py -> build/lib.linux-x86_64-cpython-310/torchgen/selective_build copying torchgen/selective_build/__init__.py -> build/lib.linux-x86_64-cpython-310/torchgen/selective_build copying torchgen/selective_build/operator.py -> build/lib.linux-x86_64-cpython-310/torchgen/selective_build creating build/lib.linux-x86_64-cpython-310/torchgen/dest copying torchgen/dest/lazy_ts_lowering.py -> build/lib.linux-x86_64-cpython-310/torchgen/dest copying torchgen/dest/ufunc.py -> build/lib.linux-x86_64-cpython-310/torchgen/dest copying torchgen/dest/__init__.py -> build/lib.linux-x86_64-cpython-310/torchgen/dest copying torchgen/dest/native_functions.py -> build/lib.linux-x86_64-cpython-310/torchgen/dest copying torchgen/dest/register_dispatch_key.py -> build/lib.linux-x86_64-cpython-310/torchgen/dest copying torchgen/dest/lazy_ir.py -> build/lib.linux-x86_64-cpython-310/torchgen/dest creating build/lib.linux-x86_64-cpython-310/torchgen/api copying torchgen/api/structured.py -> build/lib.linux-x86_64-cpython-310/torchgen/api copying torchgen/api/dispatcher.py -> build/lib.linux-x86_64-cpython-310/torchgen/api copying torchgen/api/functionalization.py -> build/lib.linux-x86_64-cpython-310/torchgen/api copying torchgen/api/native.py -> build/lib.linux-x86_64-cpython-310/torchgen/api copying torchgen/api/ufunc.py -> build/lib.linux-x86_64-cpython-310/torchgen/api copying torchgen/api/cpp.py -> build/lib.linux-x86_64-cpython-310/torchgen/api copying torchgen/api/autograd.py -> build/lib.linux-x86_64-cpython-310/torchgen/api copying torchgen/api/unboxing.py -> build/lib.linux-x86_64-cpython-310/torchgen/api copying torchgen/api/translate.py -> build/lib.linux-x86_64-cpython-310/torchgen/api copying torchgen/api/__init__.py -> build/lib.linux-x86_64-cpython-310/torchgen/api copying torchgen/api/python.py -> build/lib.linux-x86_64-cpython-310/torchgen/api copying torchgen/api/lazy.py -> build/lib.linux-x86_64-cpython-310/torchgen/api copying torchgen/api/meta.py -> build/lib.linux-x86_64-cpython-310/torchgen/api creating build/lib.linux-x86_64-cpython-310/torchgen/operator_versions copying torchgen/operator_versions/gen_mobile_upgraders_constant.py -> build/lib.linux-x86_64-cpython-310/torchgen/operator_versions copying torchgen/operator_versions/__init__.py -> build/lib.linux-x86_64-cpython-310/torchgen/operator_versions copying torchgen/operator_versions/gen_mobile_upgraders.py -> build/lib.linux-x86_64-cpython-310/torchgen/operator_versions creating build/lib.linux-x86_64-cpython-310/torchgen/static_runtime copying torchgen/static_runtime/gen_static_runtime_ops.py -> build/lib.linux-x86_64-cpython-310/torchgen/static_runtime copying torchgen/static_runtime/__init__.py -> build/lib.linux-x86_64-cpython-310/torchgen/static_runtime copying torchgen/static_runtime/generator.py -> build/lib.linux-x86_64-cpython-310/torchgen/static_runtime copying torchgen/static_runtime/config.py -> build/lib.linux-x86_64-cpython-310/torchgen/static_runtime creating build/lib.linux-x86_64-cpython-310/torchgen/executorch copying torchgen/executorch/__init__.py -> build/lib.linux-x86_64-cpython-310/torchgen/executorch creating build/lib.linux-x86_64-cpython-310/torchgen/api/types copying torchgen/api/types/types.py -> build/lib.linux-x86_64-cpython-310/torchgen/api/types copying torchgen/api/types/types_base.py -> build/lib.linux-x86_64-cpython-310/torchgen/api/types copying torchgen/api/types/__init__.py -> build/lib.linux-x86_64-cpython-310/torchgen/api/types copying torchgen/api/types/signatures.py -> build/lib.linux-x86_64-cpython-310/torchgen/api/types creating build/lib.linux-x86_64-cpython-310/torchgen/executorch/api copying torchgen/executorch/api/et_cpp.py -> build/lib.linux-x86_64-cpython-310/torchgen/executorch/api copying torchgen/executorch/api/unboxing.py -> build/lib.linux-x86_64-cpython-310/torchgen/executorch/api copying torchgen/executorch/api/__init__.py -> build/lib.linux-x86_64-cpython-310/torchgen/executorch/api copying torchgen/executorch/api/custom_ops.py -> build/lib.linux-x86_64-cpython-310/torchgen/executorch/api creating build/lib.linux-x86_64-cpython-310/torchgen/executorch/api/types copying torchgen/executorch/api/types/types.py -> build/lib.linux-x86_64-cpython-310/torchgen/executorch/api/types copying torchgen/executorch/api/types/__init__.py -> build/lib.linux-x86_64-cpython-310/torchgen/executorch/api/types copying torchgen/executorch/api/types/signatures.py -> build/lib.linux-x86_64-cpython-310/torchgen/executorch/api/types creating build/lib.linux-x86_64-cpython-310/functorch/dim copying functorch/dim/wrap_type.py -> build/lib.linux-x86_64-cpython-310/functorch/dim copying functorch/dim/op_properties.py -> build/lib.linux-x86_64-cpython-310/functorch/dim copying functorch/dim/reference.py -> build/lib.linux-x86_64-cpython-310/functorch/dim copying functorch/dim/magic_trace.py -> build/lib.linux-x86_64-cpython-310/functorch/dim copying functorch/dim/dim.py -> build/lib.linux-x86_64-cpython-310/functorch/dim copying functorch/dim/delayed_mul_tensor.py -> build/lib.linux-x86_64-cpython-310/functorch/dim copying functorch/dim/__init__.py -> build/lib.linux-x86_64-cpython-310/functorch/dim copying functorch/dim/tree_map.py -> build/lib.linux-x86_64-cpython-310/functorch/dim copying functorch/dim/batch_tensor.py -> build/lib.linux-x86_64-cpython-310/functorch/dim creating build/lib.linux-x86_64-cpython-310/functorch/experimental copying functorch/experimental/_map.py -> build/lib.linux-x86_64-cpython-310/functorch/experimental copying functorch/experimental/__init__.py -> build/lib.linux-x86_64-cpython-310/functorch/experimental copying functorch/experimental/_cond.py -> build/lib.linux-x86_64-cpython-310/functorch/experimental copying functorch/experimental/ops.py -> build/lib.linux-x86_64-cpython-310/functorch/experimental copying functorch/experimental/control_flow.py -> build/lib.linux-x86_64-cpython-310/functorch/experimental creating build/lib.linux-x86_64-cpython-310/functorch/_src copying functorch/_src/__init__.py -> build/lib.linux-x86_64-cpython-310/functorch/_src creating build/lib.linux-x86_64-cpython-310/functorch/compile copying functorch/compile/__init__.py -> build/lib.linux-x86_64-cpython-310/functorch/compile creating build/lib.linux-x86_64-cpython-310/functorch/_src/vmap copying functorch/_src/vmap/__init__.py -> build/lib.linux-x86_64-cpython-310/functorch/_src/vmap creating build/lib.linux-x86_64-cpython-310/functorch/_src/make_functional copying functorch/_src/make_functional/__init__.py -> build/lib.linux-x86_64-cpython-310/functorch/_src/make_functional creating build/lib.linux-x86_64-cpython-310/functorch/_src/aot_autograd copying functorch/_src/aot_autograd/__init__.py -> build/lib.linux-x86_64-cpython-310/functorch/_src/aot_autograd creating build/lib.linux-x86_64-cpython-310/functorch/_src/eager_transforms copying functorch/_src/eager_transforms/__init__.py -> build/lib.linux-x86_64-cpython-310/functorch/_src/eager_transforms copying torch/py.typed -> build/lib.linux-x86_64-cpython-310/torch creating build/lib.linux-x86_64-cpython-310/torch/bin copying torch/bin/protoc-3.13.0.0 -> build/lib.linux-x86_64-cpython-310/torch/bin copying torch/bin/protoc -> build/lib.linux-x86_64-cpython-310/torch/bin copying torch/bin/torch_shm_manager -> build/lib.linux-x86_64-cpython-310/torch/bin creating build/lib.linux-x86_64-cpython-310/torch/_C copying torch/_C/_distributed_autograd.pyi -> build/lib.linux-x86_64-cpython-310/torch/_C copying torch/_C/_functorch.pyi -> build/lib.linux-x86_64-cpython-310/torch/_C copying torch/_C/_nvtx.pyi -> build/lib.linux-x86_64-cpython-310/torch/_C copying torch/_C/_itt.pyi -> build/lib.linux-x86_64-cpython-310/torch/_C copying torch/_C/_autograd.pyi -> build/lib.linux-x86_64-cpython-310/torch/_C copying torch/_C/_monitor.pyi -> build/lib.linux-x86_64-cpython-310/torch/_C copying torch/_C/_lazy_ts_backend.pyi -> build/lib.linux-x86_64-cpython-310/torch/_C copying torch/_C/_distributed_rpc_testing.pyi -> build/lib.linux-x86_64-cpython-310/torch/_C copying torch/_C/_lazy.pyi -> build/lib.linux-x86_64-cpython-310/torch/_C copying torch/_C/_distributed_c10d.pyi -> build/lib.linux-x86_64-cpython-310/torch/_C copying torch/_C/_functions.pyi -> build/lib.linux-x86_64-cpython-310/torch/_C copying torch/_C/_onnx.pyi -> build/lib.linux-x86_64-cpython-310/torch/_C copying torch/_C/_profiler.pyi -> build/lib.linux-x86_64-cpython-310/torch/_C copying torch/_C/_cudnn.pyi -> build/lib.linux-x86_64-cpython-310/torch/_C copying torch/_C/_distributed_rpc.pyi -> build/lib.linux-x86_64-cpython-310/torch/_C copying torch/_C/_verbose.pyi -> build/lib.linux-x86_64-cpython-310/torch/_C copying torch/_C/__init__.pyi -> build/lib.linux-x86_64-cpython-310/torch/_C copying torch/_C/_VariableFunctions.pyi -> build/lib.linux-x86_64-cpython-310/torch/_C copying torch/_C/_nn.pyi -> build/lib.linux-x86_64-cpython-310/torch/_C creating build/lib.linux-x86_64-cpython-310/torch/_C_flatbuffer copying torch/_C_flatbuffer/__init__.pyi -> build/lib.linux-x86_64-cpython-310/torch/_C_flatbuffer copying torch/optim/asgd.pyi -> build/lib.linux-x86_64-cpython-310/torch/optim copying torch/optim/lr_scheduler.pyi -> build/lib.linux-x86_64-cpython-310/torch/optim copying torch/optim/__init__.pyi -> build/lib.linux-x86_64-cpython-310/torch/optim copying torch/optim/radam.pyi -> build/lib.linux-x86_64-cpython-310/torch/optim copying torch/optim/rmsprop.pyi -> build/lib.linux-x86_64-cpython-310/torch/optim copying torch/optim/lbfgs.pyi -> build/lib.linux-x86_64-cpython-310/torch/optim copying torch/optim/adadelta.pyi -> build/lib.linux-x86_64-cpython-310/torch/optim copying torch/optim/adamax.pyi -> build/lib.linux-x86_64-cpython-310/torch/optim copying torch/optim/adagrad.pyi -> build/lib.linux-x86_64-cpython-310/torch/optim copying torch/optim/sparse_adam.pyi -> build/lib.linux-x86_64-cpython-310/torch/optim copying torch/optim/optimizer.pyi -> build/lib.linux-x86_64-cpython-310/torch/optim copying torch/optim/adamw.pyi -> build/lib.linux-x86_64-cpython-310/torch/optim copying torch/optim/adam.pyi -> build/lib.linux-x86_64-cpython-310/torch/optim copying torch/optim/rprop.pyi -> build/lib.linux-x86_64-cpython-310/torch/optim copying torch/optim/sgd.pyi -> build/lib.linux-x86_64-cpython-310/torch/optim copying torch/optim/nadam.pyi -> build/lib.linux-x86_64-cpython-310/torch/optim copying torch/optim/swa_utils.pyi -> build/lib.linux-x86_64-cpython-310/torch/optim copying torch/nn/parameter.pyi -> build/lib.linux-x86_64-cpython-310/torch/nn copying torch/nn/functional.pyi -> build/lib.linux-x86_64-cpython-310/torch/nn copying torch/nn/parallel/parallel_apply.pyi -> build/lib.linux-x86_64-cpython-310/torch/nn/parallel copying torch/nn/parallel/__init__.pyi -> build/lib.linux-x86_64-cpython-310/torch/nn/parallel copying torch/nn/parallel/replicate.pyi -> build/lib.linux-x86_64-cpython-310/torch/nn/parallel copying torch/nn/parallel/scatter_gather.pyi -> build/lib.linux-x86_64-cpython-310/torch/nn/parallel copying torch/nn/parallel/data_parallel.pyi -> build/lib.linux-x86_64-cpython-310/torch/nn/parallel copying torch/nn/parallel/common_types.pyi -> build/lib.linux-x86_64-cpython-310/torch/nn/parallel copying torch/utils/data/datapipes/datapipe.pyi -> build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes creating build/lib.linux-x86_64-cpython-310/torch/lib copying torch/lib/libc10_cuda.so -> build/lib.linux-x86_64-cpython-310/torch/lib copying torch/lib/libc10.so -> build/lib.linux-x86_64-cpython-310/torch/lib copying torch/lib/libcaffe2_nvrtc.so -> build/lib.linux-x86_64-cpython-310/torch/lib copying torch/lib/libtorch_cuda_linalg.so -> build/lib.linux-x86_64-cpython-310/torch/lib copying torch/lib/libshm.so -> build/lib.linux-x86_64-cpython-310/torch/lib copying torch/lib/libtorch_python.so -> build/lib.linux-x86_64-cpython-310/torch/lib copying torch/lib/libtorch_cpu.so -> build/lib.linux-x86_64-cpython-310/torch/lib copying torch/lib/libtorch_cuda.so -> build/lib.linux-x86_64-cpython-310/torch/lib copying torch/lib/libtorch.so -> build/lib.linux-x86_64-cpython-310/torch/lib copying torch/lib/libtorch_global_deps.so -> build/lib.linux-x86_64-cpython-310/torch/lib copying torch/lib/libnvfuser_codegen.so -> build/lib.linux-x86_64-cpython-310/torch/lib creating build/lib.linux-x86_64-cpython-310/torch/include copying torch/include/pthreadpool.h -> build/lib.linux-x86_64-cpython-310/torch/include copying torch/include/fxdiv.h -> build/lib.linux-x86_64-cpython-310/torch/include copying torch/include/cpuinfo.h -> build/lib.linux-x86_64-cpython-310/torch/include copying torch/include/clog.h -> build/lib.linux-x86_64-cpython-310/torch/include copying torch/include/qnnpack.h -> build/lib.linux-x86_64-cpython-310/torch/include copying torch/include/psimd.h -> build/lib.linux-x86_64-cpython-310/torch/include copying torch/include/fp16.h -> build/lib.linux-x86_64-cpython-310/torch/include copying torch/include/qnnpack_func.h -> build/lib.linux-x86_64-cpython-310/torch/include copying torch/include/nnpack.h -> build/lib.linux-x86_64-cpython-310/torch/include copying torch/include/xnnpack.h -> build/lib.linux-x86_64-cpython-310/torch/include copying torch/include/dnnl.h -> build/lib.linux-x86_64-cpython-310/torch/include copying torch/include/dnnl_config.h -> build/lib.linux-x86_64-cpython-310/torch/include copying torch/include/dnnl_debug.h -> build/lib.linux-x86_64-cpython-310/torch/include copying torch/include/dnnl_ocl.h -> build/lib.linux-x86_64-cpython-310/torch/include copying torch/include/dnnl_sycl.h -> build/lib.linux-x86_64-cpython-310/torch/include copying torch/include/dnnl_sycl_types.h -> build/lib.linux-x86_64-cpython-310/torch/include copying torch/include/dnnl_threadpool.h -> build/lib.linux-x86_64-cpython-310/torch/include copying torch/include/dnnl_types.h -> build/lib.linux-x86_64-cpython-310/torch/include copying torch/include/dnnl_version.h -> build/lib.linux-x86_64-cpython-310/torch/include copying torch/include/sleef.h -> build/lib.linux-x86_64-cpython-310/torch/include copying torch/include/libshm.h -> build/lib.linux-x86_64-cpython-310/torch/include creating build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/ATen.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/AccumulateType.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/ArrayRef.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/Backend.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/Backtrace.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/CPUApplyUtils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/CPUFixedAllocator.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/CPUGeneratorImpl.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/CollapseDims.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/Config.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/Context.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/DLConvertor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/Device.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/DeviceGuard.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/DimVector.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/Dimname.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/Dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/DynamicLibrary.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/EmptyTensor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/ExpandBase.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/ExpandUtils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/Formatting.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/FuncTorchTLS.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/FunctionalStorageImpl.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/FunctionalTensorWrapper.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/Generator.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/InferSize.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/InitialTensorOptions.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/Layout.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/LegacyBatchedFallback.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/LegacyBatchedTensorImpl.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/LegacyVmapMode.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/LegacyVmapTransforms.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/LinalgBackend.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/MapAllocator.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/MatrixRef.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/MemoryOverlap.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/NamedTensor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/NamedTensorUtils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/NestedTensorImpl.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/NumericUtils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/OpMathType.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/OpaqueTensorImpl.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/PTThreadPool.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/PadNd.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/Parallel-inl.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/Parallel.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/ParallelFuture.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/ParallelNative.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/ParallelNativeTBB.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/ParallelOpenMP.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/PythonTorchFunctionTLS.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/SavedTensorHooks.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/Scalar.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/ScalarOps.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/ScalarType.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/SequenceNumber.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/SmallVector.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/SparseCsrTensorImpl.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/SparseCsrTensorUtils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/SparseTensorImpl.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/SparseTensorUtils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/Storage.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/Tensor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/TensorAccessor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/TensorGeometry.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/TensorIndexing.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/TensorIterator.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/TensorIteratorInternal.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/TensorMeta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/TensorNames.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/TensorOperators.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/TensorOptions.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/TensorSubclassLikeUtils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/TensorUtils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/ThreadLocalPythonObjects.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/ThreadLocalState.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/TracerMode.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/TypeDefault.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/Utils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/Version.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/WrapDimUtils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/WrapDimUtilsMulti.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/autocast_mode.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/ceil_div.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/code_template.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/cpp_custom_type_hack.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/div_rtn.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/dlpack.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/jit_macros.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/jiterator_macros.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/record_function.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/CPUFunctions.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/CPUFunctions_inl.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/CompositeExplicitAutogradFunctions.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/CompositeExplicitAutogradFunctions_inl.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/CompositeExplicitAutogradNonFunctionalFunctions.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/CompositeExplicitAutogradNonFunctionalFunctions_inl.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/CompositeImplicitAutogradFunctions.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/CompositeImplicitAutogradFunctions_inl.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/CompositeImplicitAutogradNestedTensorFunctions.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/CompositeImplicitAutogradNestedTensorFunctions_inl.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/Functions.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/MetaFunctions.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/MetaFunctions_inl.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/MethodOperators.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/NativeFunctions.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/NativeMetaFunctions.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/Operators.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/RedispatchFunctions.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/RegistrationDeclarations.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/VmapGeneratedPlumbing.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/CUDAFunctions.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/CUDAFunctions_inl.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen creating build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu copying torch/include/ATen/cpu/FlushDenormal.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu copying torch/include/ATen/cpu/vml.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu creating build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec creating build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256 copying torch/include/ATen/cpu/vec/vec256/missing_vld1_neon.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256 copying torch/include/ATen/cpu/vec/vec256/missing_vst1_neon.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256 copying torch/include/ATen/cpu/vec/vec256/vec256.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256 copying torch/include/ATen/cpu/vec/vec256/vec256_bfloat16.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256 copying torch/include/ATen/cpu/vec/vec256/vec256_complex_double.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256 copying torch/include/ATen/cpu/vec/vec256/vec256_complex_float.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256 copying torch/include/ATen/cpu/vec/vec256/vec256_double.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256 copying torch/include/ATen/cpu/vec/vec256/vec256_float.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256 copying torch/include/ATen/cpu/vec/vec256/vec256_float_neon.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256 copying torch/include/ATen/cpu/vec/vec256/vec256_int.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256 copying torch/include/ATen/cpu/vec/vec256/vec256_qint.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256 creating build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256/vsx copying torch/include/ATen/cpu/vec/vec256/vsx/vec256_bfloat16_vsx.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256/vsx copying torch/include/ATen/cpu/vec/vec256/vsx/vec256_common_vsx.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256/vsx copying torch/include/ATen/cpu/vec/vec256/vsx/vec256_complex_double_vsx.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256/vsx copying torch/include/ATen/cpu/vec/vec256/vsx/vec256_complex_float_vsx.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256/vsx copying torch/include/ATen/cpu/vec/vec256/vsx/vec256_double_vsx.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256/vsx copying torch/include/ATen/cpu/vec/vec256/vsx/vec256_float_vsx.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256/vsx copying torch/include/ATen/cpu/vec/vec256/vsx/vec256_int16_vsx.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256/vsx copying torch/include/ATen/cpu/vec/vec256/vsx/vec256_int32_vsx.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256/vsx copying torch/include/ATen/cpu/vec/vec256/vsx/vec256_int64_vsx.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256/vsx copying torch/include/ATen/cpu/vec/vec256/vsx/vec256_qint32_vsx.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256/vsx copying torch/include/ATen/cpu/vec/vec256/vsx/vec256_qint8_vsx.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256/vsx copying torch/include/ATen/cpu/vec/vec256/vsx/vec256_quint8_vsx.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256/vsx copying torch/include/ATen/cpu/vec/vec256/vsx/vsx_helpers.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256/vsx creating build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec512 copying torch/include/ATen/cpu/vec/vec512/vec512.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec512 copying torch/include/ATen/cpu/vec/vec512/vec512_bfloat16.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec512 copying torch/include/ATen/cpu/vec/vec512/vec512_complex_double.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec512 copying torch/include/ATen/cpu/vec/vec512/vec512_complex_float.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec512 copying torch/include/ATen/cpu/vec/vec512/vec512_double.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec512 copying torch/include/ATen/cpu/vec/vec512/vec512_float.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec512 copying torch/include/ATen/cpu/vec/vec512/vec512_int.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec512 copying torch/include/ATen/cpu/vec/vec512/vec512_qint.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec512 copying torch/include/ATen/cpu/vec/functional.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec copying torch/include/ATen/cpu/vec/functional_base.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec copying torch/include/ATen/cpu/vec/functional_bfloat16.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec copying torch/include/ATen/cpu/vec/intrinsics.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec copying torch/include/ATen/cpu/vec/vec.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec copying torch/include/ATen/cpu/vec/vec_base.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec creating build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/ATenGeneral.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/ATenOpList.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/ATen_fwd.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/ATen_pch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/Array.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/Backtrace.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/CheckMemoryFormat.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/DeprecatedTypeProperties.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/DeprecatedTypePropertiesRegistry.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/Dict.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/Dict_inl.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/DimVector.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/Dimname.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/DistributionsHelper.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/Formatting.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/Generator.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/IListRef.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/IListRef_inl.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/LegacyTypeDispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/List.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/List_inl.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/MT19937RNGEngine.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/NamedTensor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/PhiloxRNGEngine.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/PythonFallbackKernel.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/PythonOpRegistrationTrampoline.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/QuantizerBase.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/Range.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/Reduction.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/Scalar.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/ScalarType.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/Tensor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/TensorAccessor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/TensorBase.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/TorchDispatchUtils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/TransformationHelper.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/UndefinedTensorImpl.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/UnsafeFromTH.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/VariableHooksInterface.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/Variadic.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/Vitals.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/alias_info.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/blob.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/builtin_function.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/class_type.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/custom_class.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/dynamic_type.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/enum_type.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/function.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/function_schema.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/function_schema_inl.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/functional.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/grad_mode.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/interned_strings.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/interned_strings_class.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/ivalue.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/ivalue_inl.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/ivalue_to.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/jit_type.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/jit_type_base.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/operator_name.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/qualified_name.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/rref_interface.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/stack.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/symbol.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/type_factory.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/type_ptr.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/typeid.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/TensorBody.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/aten_interned_strings.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/enum_tag.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core creating build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda copying torch/include/ATen/cuda/ApplyGridUtils.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda copying torch/include/ATen/cuda/AsmUtils.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda copying torch/include/ATen/cuda/Atomic.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda copying torch/include/ATen/cuda/CUDAApplyUtils.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda copying torch/include/ATen/cuda/CUDAGraphsUtils.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda copying torch/include/ATen/cuda/CUDATensorMethods.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda copying torch/include/ATen/cuda/DeviceUtils.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda copying torch/include/ATen/cuda/NumericLimits.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda copying torch/include/ATen/cuda/ScanUtils.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda copying torch/include/ATen/cuda/cub.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda copying torch/include/ATen/cuda/cub_definitions.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda copying torch/include/ATen/cuda/ATenCUDAGeneral.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda copying torch/include/ATen/cuda/CUDABlas.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda copying torch/include/ATen/cuda/CUDAConfig.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda copying torch/include/ATen/cuda/CUDAContext.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda copying torch/include/ATen/cuda/CUDADataType.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda copying torch/include/ATen/cuda/CUDADevice.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda copying torch/include/ATen/cuda/CUDAEvent.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda copying torch/include/ATen/cuda/CUDAGeneratorImpl.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda copying torch/include/ATen/cuda/CUDAGraph.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda copying torch/include/ATen/cuda/CUDASparse.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda copying torch/include/ATen/cuda/CUDASparseBlas.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda copying torch/include/ATen/cuda/CUDASparseDescriptors.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda copying torch/include/ATen/cuda/CUDAUtils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda copying torch/include/ATen/cuda/CachingHostAllocator.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda copying torch/include/ATen/cuda/EmptyTensor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda copying torch/include/ATen/cuda/Exceptions.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda copying torch/include/ATen/cuda/PeerToPeerAccess.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda copying torch/include/ATen/cuda/PinnedMemoryAllocator.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda copying torch/include/ATen/cuda/Sleep.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda copying torch/include/ATen/cuda/ThrustAllocator.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda copying torch/include/ATen/cuda/cub.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda copying torch/include/ATen/cuda/jiterator.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda copying torch/include/ATen/cuda/jiterator_impl.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda copying torch/include/ATen/cuda/llvm_jit_strings.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda creating build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/detail copying torch/include/ATen/cuda/detail/IndexUtils.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/detail copying torch/include/ATen/cuda/detail/IntegerDivider.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/detail copying torch/include/ATen/cuda/detail/OffsetCalculator.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/detail copying torch/include/ATen/cuda/detail/PhiloxCudaStateRaw.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/detail copying torch/include/ATen/cuda/detail/TensorInfo.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/detail copying torch/include/ATen/cuda/detail/UnpackRaw.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/detail copying torch/include/ATen/cuda/detail/CUDAHooks.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/detail copying torch/include/ATen/cuda/detail/DeviceThreadHandles.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/detail copying torch/include/ATen/cuda/detail/KernelUtils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/detail copying torch/include/ATen/cuda/detail/LazyNVRTC.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/detail creating build/lib.linux-x86_64-cpython-310/torch/include/ATen/cudnn copying torch/include/ATen/cudnn/Descriptors.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cudnn copying torch/include/ATen/cudnn/Exceptions.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cudnn copying torch/include/ATen/cudnn/Handle.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cudnn copying torch/include/ATen/cudnn/Handles.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cudnn copying torch/include/ATen/cudnn/Types.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cudnn copying torch/include/ATen/cudnn/Utils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cudnn copying torch/include/ATen/cudnn/cudnn-wrapper.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cudnn creating build/lib.linux-x86_64-cpython-310/torch/include/ATen/functorch copying torch/include/ATen/functorch/ADInterpreters.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/functorch copying torch/include/ATen/functorch/BatchRulesHelper.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/functorch copying torch/include/ATen/functorch/BatchedFallback.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/functorch copying torch/include/ATen/functorch/BatchedTensorImpl.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/functorch copying torch/include/ATen/functorch/BatchingMetaprogramming.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/functorch copying torch/include/ATen/functorch/DynamicLayer.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/functorch copying torch/include/ATen/functorch/FunctionalizeInterpreter.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/functorch copying torch/include/ATen/functorch/Interpreter.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/functorch copying torch/include/ATen/functorch/LegacyVmapTransforms.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/functorch copying torch/include/ATen/functorch/Macros.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/functorch copying torch/include/ATen/functorch/PlumbingHelper.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/functorch copying torch/include/ATen/functorch/TensorWrapper.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/functorch copying torch/include/ATen/functorch/VmapInterpreter.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/functorch creating build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/from_blob.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tensor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_adaptive_avg_pool2d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_adaptive_avg_pool2d_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_adaptive_avg_pool2d_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_adaptive_avg_pool2d_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_adaptive_avg_pool2d_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_adaptive_avg_pool2d_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_adaptive_avg_pool2d_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_adaptive_avg_pool2d_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_adaptive_avg_pool2d_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_adaptive_avg_pool2d_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_adaptive_avg_pool2d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_adaptive_avg_pool2d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_adaptive_avg_pool3d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_adaptive_avg_pool3d_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_adaptive_avg_pool3d_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_adaptive_avg_pool3d_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_adaptive_avg_pool3d_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_adaptive_avg_pool3d_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_adaptive_avg_pool3d_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_adaptive_avg_pool3d_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_adaptive_avg_pool3d_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_adaptive_avg_pool3d_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_adaptive_avg_pool3d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_adaptive_avg_pool3d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_add_batch_dim.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_add_batch_dim_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_add_batch_dim_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_add_batch_dim_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_add_relu.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_add_relu_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_add_relu_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_add_relu_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_add_relu_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_add_relu_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_addmm_activation.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_addmm_activation_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_addmm_activation_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_addmm_activation_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_addmm_activation_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_addmm_activation_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_addmm_activation_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_addmm_activation_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_aminmax.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_aminmax_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_aminmax_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_aminmax_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_aminmax_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_aminmax_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_amp_foreach_non_finite_check_and_unscale.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_amp_foreach_non_finite_check_and_unscale_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_amp_foreach_non_finite_check_and_unscale_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_amp_foreach_non_finite_check_and_unscale_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_amp_foreach_non_finite_check_and_unscale_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_amp_update_scale.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_amp_update_scale_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_amp_update_scale_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_amp_update_scale_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_amp_update_scale_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_amp_update_scale_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_assert_async.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_assert_async_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_assert_async_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_assert_async_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_assert_async_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_assert_tensor_metadata.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_assert_tensor_metadata_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_assert_tensor_metadata_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_assert_tensor_metadata_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_autocast_to_full_precision.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_autocast_to_full_precision_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_autocast_to_full_precision_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_autocast_to_full_precision_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_autocast_to_reduced_precision.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_autocast_to_reduced_precision_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_autocast_to_reduced_precision_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_autocast_to_reduced_precision_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_backward_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_batch_norm_impl_index.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_batch_norm_impl_index_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_batch_norm_impl_index_backward_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_batch_norm_impl_index_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_batch_norm_impl_index_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_batch_norm_impl_index_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_batch_norm_impl_index_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_batch_norm_impl_index_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cast_Byte.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cast_Byte_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cast_Byte_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cast_Byte_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cast_Char.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cast_Char_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cast_Char_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cast_Char_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cast_Double.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cast_Double_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cast_Double_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cast_Double_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cast_Float.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cast_Float_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cast_Float_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cast_Float_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cast_Half.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cast_Half_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cast_Half_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cast_Half_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cast_Int.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cast_Int_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cast_Int_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cast_Int_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cast_Long.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cast_Long_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cast_Long_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cast_Long_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cast_Short.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cast_Short_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cast_Short_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cast_Short_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cdist_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cdist_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cdist_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cdist_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cdist_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cdist_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cdist_forward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cdist_forward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cdist_forward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cdist_forward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cdist_forward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cdist_forward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cholesky_solve_helper.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cholesky_solve_helper_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cholesky_solve_helper_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cholesky_solve_helper_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cholesky_solve_helper_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cholesky_solve_helper_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_choose_qparams_per_tensor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_choose_qparams_per_tensor_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_choose_qparams_per_tensor_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_choose_qparams_per_tensor_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_chunk_grad_outputs_efficient_attention.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_chunk_grad_outputs_efficient_attention_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_chunk_grad_outputs_efficient_attention_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_chunk_grad_outputs_efficient_attention_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_coalesce.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_coalesce_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_coalesce_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_coalesce_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_coalesced.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_coalesced_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_coalesced_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_coalesced_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_coalesced_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_compute_linear_combination.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_compute_linear_combination_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_compute_linear_combination_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_compute_linear_combination_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_compute_linear_combination_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_conj.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_conj_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_conj_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_conj_copy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_conj_copy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_conj_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_conj_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_conj_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_conj_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_conj_physical.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_conj_physical_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_conj_physical_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_conj_physical_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_conv_depthwise2d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_conv_depthwise2d_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_conv_depthwise2d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_conv_depthwise2d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_convert_indices_from_coo_to_csr.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_convert_indices_from_coo_to_csr_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_convert_indices_from_coo_to_csr_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_convert_indices_from_coo_to_csr_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_convert_indices_from_coo_to_csr_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_convert_indices_from_coo_to_csr_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_convert_indices_from_coo_to_csr_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_convert_indices_from_coo_to_csr_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_convert_indices_from_csr_to_coo.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_convert_indices_from_csr_to_coo_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_convert_indices_from_csr_to_coo_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_convert_indices_from_csr_to_coo_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_convert_indices_from_csr_to_coo_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_convert_indices_from_csr_to_coo_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_convert_indices_from_csr_to_coo_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_convert_indices_from_csr_to_coo_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_convolution.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_convolution_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_convolution_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_convolution_double_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_convolution_double_backward_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_convolution_double_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_convolution_double_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_convolution_mode.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_convolution_mode_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_convolution_mode_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_convolution_mode_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_convolution_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_convolution_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_copy_from.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_copy_from_and_resize.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_copy_from_and_resize_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_copy_from_and_resize_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_copy_from_and_resize_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_copy_from_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_copy_from_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_copy_from_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_ctc_loss.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_ctc_loss_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_ctc_loss_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_ctc_loss_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_ctc_loss_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_ctc_loss_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_ctc_loss_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_ctc_loss_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_ctc_loss_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_ctc_loss_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_ctc_loss_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_ctc_loss_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cudnn_ctc_loss.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cudnn_ctc_loss_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cudnn_ctc_loss_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cudnn_ctc_loss_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cudnn_ctc_loss_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cudnn_init_dropout_state.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cudnn_init_dropout_state_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cudnn_init_dropout_state_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cudnn_init_dropout_state_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cudnn_init_dropout_state_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cudnn_rnn.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cudnn_rnn_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cudnn_rnn_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cudnn_rnn_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cudnn_rnn_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cudnn_rnn_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cudnn_rnn_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cudnn_rnn_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cudnn_rnn_flatten_weight.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cudnn_rnn_flatten_weight_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cudnn_rnn_flatten_weight_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cudnn_rnn_flatten_weight_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cudnn_rnn_flatten_weight_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cudnn_rnn_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cudnn_rnn_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cufft_clear_plan_cache.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cufft_clear_plan_cache_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cufft_clear_plan_cache_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cufft_clear_plan_cache_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cufft_get_plan_cache_max_size.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cufft_get_plan_cache_max_size_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cufft_get_plan_cache_max_size_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cufft_get_plan_cache_max_size_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cufft_get_plan_cache_size.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cufft_get_plan_cache_size_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cufft_get_plan_cache_size_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cufft_get_plan_cache_size_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cufft_set_plan_cache_max_size.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cufft_set_plan_cache_max_size_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cufft_set_plan_cache_max_size_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cufft_set_plan_cache_max_size_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cummax_helper.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cummax_helper_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cummax_helper_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cummax_helper_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cummax_helper_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cummin_helper.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cummin_helper_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cummin_helper_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cummin_helper_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cummin_helper_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_debug_has_internal_overlap.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_debug_has_internal_overlap_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_debug_has_internal_overlap_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_debug_has_internal_overlap_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_dimI.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_dimI_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_dimI_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_dimV.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_dimV_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_dimV_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_dim_arange.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_dim_arange_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_dim_arange_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_dim_arange_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_dirichlet_grad.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_dirichlet_grad_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_dirichlet_grad_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_dirichlet_grad_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_dirichlet_grad_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_dirichlet_grad_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_efficient_attention_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_efficient_attention_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_efficient_attention_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_efficient_attention_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_efficient_attention_forward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_efficient_attention_forward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_efficient_attention_forward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_efficient_attention_forward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_efficientzerotensor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_efficientzerotensor_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_efficientzerotensor_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_efficientzerotensor_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_efficientzerotensor_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_efficientzerotensor_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_efficientzerotensor_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_embedding_bag.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_embedding_bag_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_embedding_bag_backward_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_embedding_bag_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_embedding_bag_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_embedding_bag_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_embedding_bag_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_embedding_bag_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_embedding_bag_dense_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_embedding_bag_dense_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_embedding_bag_dense_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_embedding_bag_dense_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_embedding_bag_dense_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_embedding_bag_dense_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_embedding_bag_forward_only.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_embedding_bag_forward_only_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_embedding_bag_forward_only_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_embedding_bag_forward_only_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_embedding_bag_forward_only_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_embedding_bag_forward_only_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_embedding_bag_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_embedding_bag_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_empty_affine_quantized.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_embedding_bag_per_sample_weights_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_embedding_bag_per_sample_weights_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_embedding_bag_per_sample_weights_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_embedding_bag_per_sample_weights_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_embedding_bag_per_sample_weights_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_embedding_bag_per_sample_weights_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_embedding_bag_sparse_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_embedding_bag_sparse_backward_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_embedding_bag_sparse_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_embedding_bag_sparse_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_empty_affine_quantized_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_empty_affine_quantized_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_empty_affine_quantized_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_empty_affine_quantized_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_empty_per_channel_affine_quantized.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_empty_per_channel_affine_quantized_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_empty_per_channel_affine_quantized_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_empty_per_channel_affine_quantized_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_empty_per_channel_affine_quantized_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_euclidean_dist.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_euclidean_dist_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_euclidean_dist_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_euclidean_dist_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fake_quantize_learnable_per_channel_affine.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fake_quantize_learnable_per_channel_affine_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fake_quantize_learnable_per_channel_affine_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fake_quantize_learnable_per_channel_affine_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fake_quantize_learnable_per_channel_affine_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fake_quantize_learnable_per_channel_affine_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fake_quantize_learnable_per_channel_affine_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fake_quantize_learnable_per_channel_affine_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fake_quantize_learnable_per_channel_affine_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fake_quantize_learnable_per_channel_affine_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fake_quantize_learnable_per_channel_affine_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fake_quantize_learnable_per_tensor_affine.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fake_quantize_learnable_per_tensor_affine_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fake_quantize_learnable_per_tensor_affine_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fake_quantize_learnable_per_tensor_affine_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fake_quantize_learnable_per_tensor_affine_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fake_quantize_learnable_per_tensor_affine_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fake_quantize_learnable_per_tensor_affine_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fake_quantize_learnable_per_tensor_affine_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fake_quantize_learnable_per_tensor_affine_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fake_quantize_learnable_per_tensor_affine_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fake_quantize_learnable_per_tensor_affine_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fake_quantize_per_tensor_affine_cachemask_tensor_qparams.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fake_quantize_per_tensor_affine_cachemask_tensor_qparams_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fake_quantize_per_tensor_affine_cachemask_tensor_qparams_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fake_quantize_per_tensor_affine_cachemask_tensor_qparams_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fake_quantize_per_tensor_affine_cachemask_tensor_qparams_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fake_quantize_per_tensor_affine_cachemask_tensor_qparams_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fft_c2c.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fft_c2c_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fft_c2c_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fft_c2c_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fft_c2c_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fft_c2r.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fft_c2r_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fft_c2r_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fft_c2r_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fft_c2r_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fft_r2c.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fft_r2c_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fft_r2c_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fft_r2c_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fft_r2c_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_flash_attention_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_flash_attention_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_flash_attention_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_flash_attention_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_flash_attention_forward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_flash_attention_forward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_flash_attention_forward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_flash_attention_forward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foobar.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foobar_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foobar_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foobar_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foobar_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_abs.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_abs_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_abs_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_abs_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_abs_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_abs_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_acos.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_acos_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_acos_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_acos_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_acos_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_acos_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_add.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_add_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_add_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_add_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_add_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_add_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_addcdiv.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_addcdiv_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_addcdiv_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_addcdiv_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_addcdiv_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_addcdiv_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_addcmul.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_addcmul_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_addcmul_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_addcmul_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_addcmul_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_addcmul_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_asin.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_asin_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_asin_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_asin_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_asin_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_asin_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_atan.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_atan_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_atan_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_atan_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_atan_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_atan_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_ceil.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_ceil_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_ceil_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_ceil_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_ceil_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_ceil_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_clamp_max.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_clamp_max_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_clamp_max_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_clamp_max_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_clamp_max_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_clamp_max_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_clamp_min.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_clamp_min_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_clamp_min_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_clamp_min_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_clamp_min_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_clamp_min_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_cos.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_cos_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_cos_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_cos_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_cos_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_cos_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_cosh.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_cosh_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_cosh_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_cosh_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_cosh_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_cosh_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_div.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_div_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_div_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_div_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_div_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_div_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_erf.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_erf_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_erf_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_erf_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_erf_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_erf_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_erfc.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_erfc_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_erfc_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_erfc_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_erfc_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_erfc_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_exp.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_exp_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_exp_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_exp_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_exp_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_exp_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_expm1.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_expm1_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_expm1_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_expm1_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_expm1_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_expm1_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_floor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_floor_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_floor_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_floor_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_floor_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_floor_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_frac.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_frac_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_frac_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_frac_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_frac_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_frac_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_lerp.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_lerp_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_lerp_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_lerp_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_lerp_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_lerp_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_lgamma.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_lgamma_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_lgamma_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_lgamma_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_lgamma_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_lgamma_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_log.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_log10.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_log10_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_log10_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_log10_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_log10_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_log10_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_log1p.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_log1p_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_log1p_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_log1p_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_log1p_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_log1p_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_log2.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_log2_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_log2_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_log2_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_log2_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_log2_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_log_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_log_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_log_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_log_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_log_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_maximum.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_maximum_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_maximum_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_maximum_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_maximum_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_maximum_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_minimum.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_minimum_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_minimum_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_minimum_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_minimum_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_minimum_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_mul.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_mul_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_mul_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_mul_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_mul_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_mul_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_neg.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_neg_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_neg_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_neg_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ger_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_neg_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_neg_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_norm.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_norm_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_norm_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_norm_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_norm_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_norm_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_reciprocal.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_reciprocal_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_reciprocal_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_reciprocal_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_reciprocal_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_reciprocal_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_round.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_round_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_round_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_round_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_round_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_round_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_sigmoid.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_sigmoid_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_sigmoid_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_sigmoid_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_sigmoid_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_sigmoid_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_sin.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_sin_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_sin_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_sin_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_sin_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_sin_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_sinh.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_sinh_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_sinh_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_sinh_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_sinh_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_sinh_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_sqrt.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_sqrt_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_sqrt_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_sqrt_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_sqrt_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_sqrt_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_sub.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_sub_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_sub_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_sub_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_sub_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_sub_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_tan.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_tan_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_tan_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_tan_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_tan_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_tan_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_tanh.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_tanh_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_tanh_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_tanh_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_tanh_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_tanh_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_trunc.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_trunc_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_trunc_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_trunc_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_trunc_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_trunc_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_zero.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_zero_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_zero_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_zero_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_zero_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_zero_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fused_adam.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fused_adam_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fused_adam_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fused_adam_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fused_adam_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fused_adamw.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fused_adamw_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fused_adamw_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fused_adamw_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fused_adamw_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fused_dropout.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fused_dropout_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fused_dropout_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fused_dropout_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fused_dropout_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fused_moving_avg_obs_fq_helper.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fused_moving_avg_obs_fq_helper_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fused_moving_avg_obs_fq_helper_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/diagonal.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fused_moving_avg_obs_fq_helper_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fused_moving_avg_obs_fq_helper_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fused_moving_avg_obs_fq_helper_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fused_sdp_choice.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fused_sdp_choice_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fused_sdp_choice_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fused_sdp_choice_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fused_sdp_choice_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fused_sdp_choice_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fw_primal.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fw_primal_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fw_primal_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fw_primal_copy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fw_primal_copy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fw_primal_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fw_primal_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fw_primal_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fw_primal_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_gather_sparse_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_gather_sparse_backward_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_gather_sparse_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_gather_sparse_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_grid_sampler_2d_cpu_fallback.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_grid_sampler_2d_cpu_fallback_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_grid_sampler_2d_cpu_fallback_backward_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_grid_sampler_2d_cpu_fallback_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_grid_sampler_2d_cpu_fallback_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_grid_sampler_2d_cpu_fallback_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_grid_sampler_2d_cpu_fallback_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_grid_sampler_2d_cpu_fallback_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_has_compatible_shallow_copy_type.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_has_compatible_shallow_copy_type_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_has_compatible_shallow_copy_type_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_has_compatible_shallow_copy_type_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_has_same_storage_numel.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_has_same_storage_numel_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_has_same_storage_numel_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_has_same_storage_numel_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_histogramdd_bin_edges.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_histogramdd_bin_edges_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_histogramdd_bin_edges_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_histogramdd_bin_edges_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_histogramdd_bin_edges_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_histogramdd_from_bin_cts.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_histogramdd_from_bin_cts_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_histogramdd_from_bin_cts_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_histogramdd_from_bin_cts_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_histogramdd_from_bin_cts_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_histogramdd_from_bin_tensors.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_histogramdd_from_bin_tensors_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_histogramdd_from_bin_tensors_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_histogramdd_from_bin_tensors_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_histogramdd_from_bin_tensors_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_index_put_impl.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_index_put_impl_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_index_put_impl_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_index_put_impl_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_index_put_impl_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_index_put_impl_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_index_put_impl_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_indices.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_indices_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_indices_copy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_indices_copy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_indices_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_indices_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_indices_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_indices_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_is_all_true.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_is_all_true_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_is_all_true_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_is_all_true_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_is_any_true.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_is_any_true_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_is_any_true_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_is_any_true_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_is_zerotensor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_is_zerotensor_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_is_zerotensor_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_is_zerotensor_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_check_errors.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_check_errors_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_check_errors_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_check_errors_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_det.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_det_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_det_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_det_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_det_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_det_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_det_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_det_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_eigh.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_eigh_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_eigh_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_eigh_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_eigh_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_eigh_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_eigh_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_eigh_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_slogdet.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_slogdet_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_slogdet_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_slogdet_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_slogdet_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_slogdet_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_slogdet_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_slogdet_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_solve_ex.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_solve_ex_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_solve_ex_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_solve_ex_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_solve_ex_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_solve_ex_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_solve_ex_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_solve_ex_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_svd.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_svd_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_svd_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_svd_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_svd_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_svd_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_svd_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_svd_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_local_scalar_dense.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_local_scalar_dense_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_local_scalar_dense_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_local_scalar_dense_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_local_scalar_dense_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_log_softmax.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_log_softmax_backward_data.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_log_softmax_backward_data_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_log_softmax_backward_data_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_log_softmax_backward_data_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_log_softmax_backward_data_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_log_softmax_backward_data_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_log_softmax_backward_data_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_log_softmax_backward_data_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_log_softmax_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_log_softmax_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_log_softmax_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_log_softmax_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_log_softmax_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_log_softmax_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_log_softmax_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_logcumsumexp.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_logcumsumexp_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_logcumsumexp_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_logcumsumexp_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_logcumsumexp_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_lstm_mps.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_lstm_mps_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_lstm_mps_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_lstm_mps_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_lu_with_info.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_lu_with_info_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_lu_with_info_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_lu_with_info_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_make_dual.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_make_dual_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_make_dual_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_make_dual_copy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_make_dual_copy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_make_dual_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_make_dual_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_make_dual_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_make_dual_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_make_per_channel_quantized_tensor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_make_per_channel_quantized_tensor_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_make_per_channel_quantized_tensor_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_make_per_channel_quantized_tensor_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_make_per_channel_quantized_tensor_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_make_per_channel_quantized_tensor_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_make_per_tensor_quantized_tensor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_make_per_tensor_quantized_tensor_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_make_per_tensor_quantized_tensor_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_make_per_tensor_quantized_tensor_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_make_per_tensor_quantized_tensor_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_make_per_tensor_quantized_tensor_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_masked_scale.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_masked_scale_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_masked_scale_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_masked_scale_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_masked_scale_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_masked_softmax.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_masked_softmax_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_masked_softmax_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_masked_softmax_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_masked_softmax_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_masked_softmax_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_masked_softmax_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_masked_softmax_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_masked_softmax_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_masked_softmax_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_masked_softmax_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_masked_softmax_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_mkldnn_reshape.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_mkldnn_reshape_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_mkldnn_reshape_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_mkldnn_reshape_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_mkldnn_transpose.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_mkldnn_transpose_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_mkldnn_transpose_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_mkldnn_transpose_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_mkldnn_transpose_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_mps_convolution.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_mps_convolution_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_mps_convolution_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_mps_convolution_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_mps_convolution_transpose.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_mps_convolution_transpose_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_mps_convolution_transpose_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_mps_convolution_transpose_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_native_batch_norm_legit.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_native_batch_norm_legit_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_native_batch_norm_legit_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_native_batch_norm_legit_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_native_batch_norm_legit_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_native_batch_norm_legit_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_native_decoder_only_multi_head_attention.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_native_decoder_only_multi_head_attention_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_native_decoder_only_multi_head_attention_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_native_decoder_only_multi_head_attention_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_native_decoder_only_multi_head_attention_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_native_decoder_only_multi_head_attention_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_native_multi_head_attention.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_native_multi_head_attention_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_native_multi_head_attention_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_native_multi_head_attention_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_native_multi_head_attention_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_native_multi_head_attention_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_neg_view.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_neg_view_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_neg_view_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_neg_view_copy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_neg_view_copy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_neg_view_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_neg_view_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_neg_view_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_neg_view_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_from_padded.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_from_padded_and_nested_example.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_from_padded_and_nested_example_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_from_padded_and_nested_example_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_from_padded_and_nested_example_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_broadcast_to_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_from_padded_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_from_padded_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_from_padded_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_from_padded_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_from_padded_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_select_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_select_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_select_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_sum_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_sum_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_sum_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_tensor_from_mask.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_tensor_from_mask_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_tensor_from_mask_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_tensor_from_mask_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_tensor_from_mask_left_aligned.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_tensor_from_mask_left_aligned_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_tensor_from_mask_left_aligned_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_tensor_from_mask_left_aligned_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_tensor_from_mask_left_aligned_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_tensor_from_mask_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_tensor_from_mask_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_tensor_from_tensor_list.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_tensor_from_tensor_list_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_tensor_from_tensor_list_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_tensor_from_tensor_list_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_tensor_offsets.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_tensor_offsets_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_tensor_offsets_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_tensor_size.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_tensor_size_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_tensor_size_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_tensor_size_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_tensor_softmax_with_shape.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_tensor_softmax_with_shape_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_tensor_softmax_with_shape_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_tensor_strides.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_tensor_strides_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_tensor_strides_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_tensor_strides_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_view_from_buffer.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_view_from_buffer_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_view_from_buffer_copy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_view_from_buffer_copy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_view_from_buffer_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_view_from_buffer_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_view_from_buffer_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_view_from_buffer_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_view_from_buffer_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_view_from_buffer_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_new_zeros_with_same_feature_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_new_zeros_with_same_feature_meta_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_new_zeros_with_same_feature_meta_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_new_zeros_with_same_feature_meta_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nnpack_available.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nnpack_available_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nnpack_available_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nnpack_available_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nnpack_spatial_convolution.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nnpack_spatial_convolution_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nnpack_spatial_convolution_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nnpack_spatial_convolution_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nnz.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nnz_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nnz_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_pack_padded_sequence.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_pack_padded_sequence_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_pack_padded_sequence_backward_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_pack_padded_sequence_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_pack_padded_sequence_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_pack_padded_sequence_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_pack_padded_sequence_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_pack_padded_sequence_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_pad_circular.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_pad_circular_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_pad_circular_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_pad_circular_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_pad_enum.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bernoulli.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_pad_enum_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_pad_enum_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_pad_enum_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_pad_packed_sequence.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_pad_packed_sequence_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_pad_packed_sequence_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_pad_packed_sequence_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_pdist_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_pdist_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_pdist_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_pdist_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_pdist_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_pdist_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_pdist_forward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_pdist_forward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_pdist_forward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_pdist_forward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_pdist_forward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_pdist_forward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_pin_memory.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_pin_memory_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_pin_memory_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_pin_memory_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_pin_memory_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_prelu_kernel.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_prelu_kernel_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_prelu_kernel_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_prelu_kernel_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_prelu_kernel_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_prelu_kernel_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_prelu_kernel_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_prelu_kernel_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_prelu_kernel_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_prelu_kernel_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_remove_batch_dim.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_remove_batch_dim_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_remove_batch_dim_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_remove_batch_dim_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_reshape_alias.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_reshape_alias_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_reshape_alias_copy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_reshape_alias_copy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_reshape_alias_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_reshape_alias_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_reshape_alias_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_reshape_alias_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_reshape_alias_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_reshape_alias_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_reshape_alias_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_reshape_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_reshape_copy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_reshape_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_reshape_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_reshape_from_tensor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_reshape_from_tensor_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_reshape_from_tensor_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_reshape_from_tensor_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_resize_output.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_resize_output_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_resize_output_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_resize_output_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_resize_output_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_rowwise_prune.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_rowwise_prune_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_rowwise_prune_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_rowwise_prune_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sample_dirichlet.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sample_dirichlet_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sample_dirichlet_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sample_dirichlet_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sample_dirichlet_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sample_dirichlet_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_saturate_weight_to_fp16.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_saturate_weight_to_fp16_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_saturate_weight_to_fp16_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_saturate_weight_to_fp16_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_scaled_dot_product_attention.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_scaled_dot_product_attention_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_scaled_dot_product_attention_math.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_scaled_dot_product_attention_math_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_scaled_dot_product_attention_math_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_scaled_dot_product_attention_math_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_scaled_dot_product_attention_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_scaled_dot_product_attention_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_scaled_dot_product_efficient_attention.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_warn_in_autograd.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_scaled_dot_product_efficient_attention_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_scaled_dot_product_efficient_attention_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_scaled_dot_product_efficient_attention_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_scaled_dot_product_efficient_attention_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_scaled_dot_product_efficient_attention_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_scaled_dot_product_efficient_attention_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_scaled_dot_product_efficient_attention_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_scaled_dot_product_flash_attention.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_scaled_dot_product_flash_attention_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_scaled_dot_product_flash_attention_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_scaled_dot_product_flash_attention_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_scaled_dot_product_flash_attention_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_scaled_dot_product_flash_attention_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_scaled_dot_product_flash_attention_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_scaled_dot_product_flash_attention_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_segment_reduce_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_segment_reduce_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_segment_reduce_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_segment_reduce_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_segment_reduce_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_segment_reduce_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_shape_as_tensor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_shape_as_tensor_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_shape_as_tensor_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_shape_as_tensor_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_slow_conv2d_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_slow_conv2d_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_slow_conv2d_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_slow_conv2d_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_slow_conv2d_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_slow_conv2d_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_slow_conv2d_forward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_slow_conv2d_forward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_slow_conv2d_forward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_slow_conv2d_forward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_slow_conv2d_forward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sobol_engine_draw.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sobol_engine_draw_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sobol_engine_draw_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sobol_engine_draw_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sobol_engine_ff.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sobol_engine_ff_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sobol_engine_ff_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sobol_engine_ff_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sobol_engine_initialize_state.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sobol_engine_initialize_state_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sobol_engine_initialize_state_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sobol_engine_initialize_state_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sobol_engine_scramble.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sobol_engine_scramble_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sobol_engine_scramble_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sobol_engine_scramble_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_softmax.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_softmax_backward_data.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_softmax_backward_data_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_softmax_backward_data_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_softmax_backward_data_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_softmax_backward_data_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_softmax_backward_data_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_softmax_backward_data_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_softmax_backward_data_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_softmax_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_softmax_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_softmax_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_softmax_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_softmax_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_softmax_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_softmax_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_addmm.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_addmm_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_addmm_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_addmm_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_broadcast_to.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_broadcast_to_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_broadcast_to_copy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_broadcast_to_copy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_string_default_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_broadcast_to_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_broadcast_to_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_broadcast_to_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_bsc_tensor_unsafe.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_bsc_tensor_unsafe_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_bsc_tensor_unsafe_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_bsc_tensor_unsafe_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_bsr_tensor_unsafe.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_bsr_tensor_unsafe_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_bsr_tensor_unsafe_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_bsr_tensor_unsafe_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_compressed_tensor_unsafe.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_compressed_tensor_unsafe_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_compressed_tensor_unsafe_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_compressed_tensor_unsafe_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_coo_tensor_unsafe.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_coo_tensor_unsafe_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_coo_tensor_unsafe_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_coo_tensor_unsafe_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_coo_tensor_with_dims.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_coo_tensor_with_dims_and_tensors.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_coo_tensor_with_dims_and_tensors_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_coo_tensor_with_dims_and_tensors_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_coo_tensor_with_dims_and_tensors_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_coo_tensor_with_dims_and_tensors_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_coo_tensor_with_dims_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_coo_tensor_with_dims_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_coo_tensor_with_dims_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_coo_tensor_with_dims_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_csc_tensor_unsafe.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_csc_tensor_unsafe_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_csc_tensor_unsafe_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_csc_tensor_unsafe_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_csr_prod.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_csr_prod_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_csr_prod_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_csr_prod_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_csr_sum.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_csr_sum_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_csr_sum_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_csr_sum_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_csr_tensor_unsafe.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_csr_tensor_unsafe_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_csr_tensor_unsafe_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_csr_tensor_unsafe_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_log_softmax.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_log_softmax_backward_data.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_log_softmax_backward_data_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_log_softmax_backward_data_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_log_softmax_backward_data_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_log_softmax_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_log_softmax_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_log_softmax_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_log_softmax_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_mm.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_mm_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_mm_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_mm_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_mm_reduce_impl.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_mm_reduce_impl_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_mm_reduce_impl_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_mm_reduce_impl_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_mm_reduce_impl_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_mm_reduce_impl_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_softmax.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_softmax_backward_data.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_softmax_backward_data_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_softmax_backward_data_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_softmax_backward_data_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_softmax_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_softmax_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_softmax_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_softmax_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_sparse_matmul.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_sparse_matmul_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/arctan2.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_sparse_matmul_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_sparse_matmul_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_sum.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_sum_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_sum_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_sum_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_sum_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_sum_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_sum_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_sum_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_sum_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_spdiags.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_spdiags_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_spdiags_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_spdiags_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_spdiags_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_stack.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_stack_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_stack_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_stack_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_stack_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_standard_gamma.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_standard_gamma_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_standard_gamma_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_standard_gamma_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_standard_gamma_grad.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_standard_gamma_grad_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_standard_gamma_grad_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_standard_gamma_grad_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_standard_gamma_grad_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_standard_gamma_grad_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_standard_gamma_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_standard_gamma_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_ambiguous_defaults.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_ambiguous_defaults_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_ambiguous_defaults_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_ambiguous_defaults_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_autograd_multiple_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_autograd_multiple_dispatch_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_autograd_multiple_dispatch_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_autograd_multiple_dispatch_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_autograd_multiple_dispatch_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_autograd_multiple_dispatch_view.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_autograd_multiple_dispatch_view_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_autograd_multiple_dispatch_view_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_autograd_multiple_dispatch_view_copy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_autograd_multiple_dispatch_view_copy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_autograd_multiple_dispatch_view_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_autograd_multiple_dispatch_view_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_autograd_multiple_dispatch_view_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_autograd_multiple_dispatch_view_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_check_tensor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_check_tensor_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_check_tensor_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_check_tensor_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_optional_filled_intlist.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_optional_filled_intlist_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_optional_filled_intlist_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_optional_filled_intlist_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_optional_filled_intlist_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_optional_floatlist.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_optional_floatlist_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_optional_floatlist_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_optional_floatlist_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_optional_floatlist_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_optional_intlist.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_optional_intlist_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_optional_intlist_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_optional_intlist_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_optional_intlist_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_serialization_subcmul.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_serialization_subcmul_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_serialization_subcmul_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_serialization_subcmul_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_string_default.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_string_default_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_string_default_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_warn_in_autograd_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_warn_in_autograd_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_warn_in_autograd_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_thnn_differentiable_gru_cell_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_thnn_differentiable_gru_cell_backward_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_thnn_differentiable_gru_cell_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_thnn_differentiable_gru_cell_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_thnn_differentiable_lstm_cell_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_thnn_differentiable_lstm_cell_backward_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_thnn_differentiable_lstm_cell_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_thnn_differentiable_lstm_cell_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_thnn_fused_gru_cell.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_thnn_fused_gru_cell_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_thnn_fused_gru_cell_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_thnn_fused_gru_cell_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_thnn_fused_gru_cell_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_thnn_fused_gru_cell_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_thnn_fused_gru_cell_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_thnn_fused_gru_cell_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_thnn_fused_gru_cell_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_thnn_fused_gru_cell_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_thnn_fused_lstm_cell.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_thnn_fused_lstm_cell_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_thnn_fused_lstm_cell_backward_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_thnn_fused_lstm_cell_backward_impl.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_thnn_fused_lstm_cell_backward_impl_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_thnn_fused_lstm_cell_backward_impl_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_thnn_fused_lstm_cell_backward_impl_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_thnn_fused_lstm_cell_backward_impl_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_thnn_fused_lstm_cell_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_thnn_fused_lstm_cell_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_thnn_fused_lstm_cell_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_thnn_fused_lstm_cell_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_thnn_fused_lstm_cell_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_thnn_fused_lstm_cell_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_to_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_to_copy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_to_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_to_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_to_cpu.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_to_cpu_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_to_cpu_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_to_cpu_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_to_dense.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_to_dense_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_to_dense_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_to_dense_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_transform_bias_rescale_qkv.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_transform_bias_rescale_qkv_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_transform_bias_rescale_qkv_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_transform_bias_rescale_qkv_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_transform_bias_rescale_qkv_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_transform_bias_rescale_qkv_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_transformer_decoder_only_layer_fwd.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_transformer_decoder_only_layer_fwd_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_transformer_decoder_only_layer_fwd_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_transformer_decoder_only_layer_fwd_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_transformer_decoder_only_layer_fwd_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_transformer_decoder_only_layer_fwd_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_transformer_encoder_layer_fwd.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_transformer_encoder_layer_fwd_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_transformer_encoder_layer_fwd_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_transformer_encoder_layer_fwd_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_transformer_encoder_layer_fwd_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_transformer_encoder_layer_fwd_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_trilinear.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_trilinear_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_trilinear_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_trilinear_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_trilinear_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_triton_multi_head_attention.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_triton_multi_head_attention_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_triton_multi_head_attention_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact1d_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_triton_multi_head_attention_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_triton_multi_head_attention_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_triton_scaled_dot_attention.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_triton_scaled_dot_attention_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_triton_scaled_dot_attention_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_triton_scaled_dot_attention_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_triton_scaled_dot_attention_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_unique.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_unique2.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_unique2_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_unique2_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_unique2_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_unique2_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_unique2_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_unique_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_unique_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_unique_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_unique_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_unique_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_unpack_dual.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_unpack_dual_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_unpack_dual_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_unpack_dual_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_unsafe_view.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_unsafe_view_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_unsafe_view_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_unsafe_view_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_bicubic2d_aa.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_bicubic2d_aa_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_bicubic2d_aa_backward_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_bicubic2d_aa_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_bicubic2d_aa_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_bicubic2d_aa_backward_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_bicubic2d_aa_backward_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_bicubic2d_aa_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_bicubic2d_aa_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_bicubic2d_aa_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_bicubic2d_aa_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_bicubic2d_aa_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_bicubic2d_aa_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_bicubic2d_aa_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_bicubic2d_aa_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_bicubic2d_aa_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_bicubic2d_aa_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_bilinear2d_aa.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_bilinear2d_aa_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_bilinear2d_aa_backward_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_bilinear2d_aa_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_bilinear2d_aa_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_bilinear2d_aa_backward_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_bilinear2d_aa_backward_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_bilinear2d_aa_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_bilinear2d_aa_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_bilinear2d_aa_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_bilinear2d_aa_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_bilinear2d_aa_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_bilinear2d_aa_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_bilinear2d_aa_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_bilinear2d_aa_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_bilinear2d_aa_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_bilinear2d_aa_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact1d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact1d_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact1d_backward_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact1d_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact1d_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact1d_backward_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact1d_backward_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact1d_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact1d_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact1d_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact1d_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact1d_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact1d_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact1d_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact1d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact1d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact2d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact2d_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact2d_backward_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact2d_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact2d_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact2d_backward_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact2d_backward_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact2d_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact2d_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact2d_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact2d_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact2d_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact2d_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact2d_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact2d_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact2d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact2d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact3d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact3d_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact3d_backward_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact3d_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact3d_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact3d_backward_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact3d_backward_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact3d_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact3d_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact3d_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact3d_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact3d_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact3d_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact3d_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact3d_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact3d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact3d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_use_cudnn_ctc_loss.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_use_cudnn_ctc_loss_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_use_cudnn_ctc_loss_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_use_cudnn_ctc_loss_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_use_cudnn_rnn_flatten_weight.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_use_cudnn_rnn_flatten_weight_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_use_cudnn_rnn_flatten_weight_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_use_cudnn_rnn_flatten_weight_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_validate_compressed_sparse_indices.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_validate_compressed_sparse_indices_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_validate_compressed_sparse_indices_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_validate_compressed_sparse_indices_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_validate_compressed_sparse_indices_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_validate_sparse_bsc_tensor_args.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_validate_sparse_bsc_tensor_args_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_validate_sparse_bsc_tensor_args_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_validate_sparse_bsc_tensor_args_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_validate_sparse_bsr_tensor_args.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_validate_sparse_bsr_tensor_args_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_validate_sparse_bsr_tensor_args_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_validate_sparse_bsr_tensor_args_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_validate_sparse_compressed_tensor_args.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_validate_sparse_compressed_tensor_args_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_validate_sparse_compressed_tensor_args_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_validate_sparse_compressed_tensor_args_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_validate_sparse_coo_tensor_args.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_validate_sparse_coo_tensor_args_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_validate_sparse_coo_tensor_args_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_validate_sparse_coo_tensor_args_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_validate_sparse_csc_tensor_args.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_max_pool1d_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_validate_sparse_csc_tensor_args_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_validate_sparse_csc_tensor_args_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_validate_sparse_csc_tensor_args_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_validate_sparse_csr_tensor_args.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_validate_sparse_csr_tensor_args_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_validate_sparse_csr_tensor_args_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_validate_sparse_csr_tensor_args_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_values.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_values_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_values_copy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_values_copy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_values_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_values_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_values_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_values_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_version.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_version_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_version_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_version_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_weight_norm.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_weight_norm_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_weight_norm_differentiable_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_weight_norm_differentiable_backward_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_weight_norm_differentiable_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_weight_norm_differentiable_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_weight_norm_interface.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_weight_norm_interface_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_weight_norm_interface_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_weight_norm_interface_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_weight_norm_interface_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_weight_norm_interface_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_weight_norm_interface_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_weight_norm_interface_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_weight_norm_interface_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_weight_norm_interface_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_weight_norm_interface_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_weight_norm_interface_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_weight_norm_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_weight_norm_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/abs.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/abs_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/abs_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/abs_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/abs_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/abs_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/absolute.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/absolute_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/absolute_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/absolute_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/acos.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/acos_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/acos_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/acos_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/acos_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/acos_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/acos_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/acos_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/acosh.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/acosh_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/acosh_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/acosh_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/acosh_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/acosh_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/acosh_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/acosh_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_avg_pool1d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_avg_pool1d_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_avg_pool1d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_avg_pool1d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_avg_pool2d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_avg_pool2d_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_avg_pool2d_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_avg_pool2d_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_avg_pool2d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_avg_pool2d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_avg_pool3d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_avg_pool3d_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_avg_pool3d_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_avg_pool3d_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_avg_pool3d_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_avg_pool3d_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_avg_pool3d_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_avg_pool3d_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_avg_pool3d_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_avg_pool3d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_avg_pool3d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_max_pool1d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_max_pool1d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_max_pool1d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_max_pool2d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_max_pool2d_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_max_pool2d_backward_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_max_pool2d_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_max_pool2d_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_max_pool2d_backward_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_max_pool2d_backward_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_max_pool2d_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_max_pool2d_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_max_pool2d_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_max_pool2d_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_max_pool2d_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_max_pool2d_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_max_pool2d_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_max_pool2d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_max_pool2d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_max_pool3d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_max_pool3d_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_max_pool3d_backward_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_max_pool3d_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_max_pool3d_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_max_pool3d_backward_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_max_pool3d_backward_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_max_pool3d_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_max_pool3d_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_max_pool3d_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_max_pool3d_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_max_pool3d_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_max_pool3d_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_max_pool3d_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_max_pool3d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_max_pool3d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/add.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/add_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/add_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/add_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/add_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/add_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/add_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/add_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/add_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addbmm.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addbmm_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addbmm_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addbmm_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addbmm_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addbmm_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addcdiv.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addcdiv_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addcdiv_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addcdiv_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addcdiv_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addcdiv_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addcdiv_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addcdiv_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addcmul.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addcmul_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addcmul_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addcmul_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addcmul_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addcmul_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addcmul_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addcmul_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addmm.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addmm_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addmm_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addmm_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addmm_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addmm_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addmm_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addmm_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addmv.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addmv_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addmv_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addmv_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addmv_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addmv_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addmv_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addmv_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addr.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addr_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addr_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addr_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addr_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addr_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adjoint.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adjoint_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adjoint_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adjoint_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/affine_grid_generator.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/affine_grid_generator_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/affine_grid_generator_backward_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/affine_grid_generator_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/affine_grid_generator_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/affine_grid_generator_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/affine_grid_generator_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/affine_grid_generator_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/alias.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/alias_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/alias_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/alias_copy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/alias_copy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/alias_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/alias_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/alias_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/alias_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/align_as.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/align_as_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/align_as_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/align_as_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/align_tensors.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/align_tensors_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/align_tensors_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/align_tensors_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/align_to.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/align_to_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/align_to_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/align_to_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/all.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/all_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/all_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/all_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/all_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/all_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/all_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/all_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/all_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/allclose.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/allclose_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/allclose_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/allclose_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/alpha_dropout.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/alpha_dropout_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/alpha_dropout_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/alpha_dropout_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/amax.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/amax_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/amax_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/amax_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/amax_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/amax_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/amax_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/amax_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/amin.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/amin_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/amin_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/amin_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/amin_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/amin_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/amin_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/amin_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/aminmax.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/aminmax_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/aminmax_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/aminmax_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/aminmax_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/aminmax_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/aminmax_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/aminmax_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/and.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/and_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/and_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/and_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/angle.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/angle_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/angle_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/angle_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/angle_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/any.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/any_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/any_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/any_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/any_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/any_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/any_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/any_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/any_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/arange.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/arange_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/arange_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/arange_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/arange_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/arange_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/arange_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/arccos.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/arccos_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/arccos_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/arccos_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/arccosh.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/arccosh_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/arccosh_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/arccosh_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/arcsin.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/arcsin_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/arcsin_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/arcsin_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/arcsinh.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/arcsinh_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/arcsinh_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/arcsinh_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/arctan.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/arctan2_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/arctan2_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/arctan2_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/arctan_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/arctan_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/arctan_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/arctanh.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/arctanh_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/arctanh_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/arctanh_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/argmax.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/argmax_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/argmax_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/argmax_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/argmax_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/argmax_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/argmax_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/argmax_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/argmin.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/argmin_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/argmin_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/argmin_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/argmin_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/argmin_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/argmin_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/argmin_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/argsort.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/argsort_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/argsort_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/argsort_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/argsort_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/argsort_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/argsort_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/argwhere.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/argwhere_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/argwhere_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/argwhere_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/as_strided.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/as_strided_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/as_strided_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/as_strided_copy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/as_strided_copy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/as_strided_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/as_strided_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/as_strided_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/as_strided_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/as_strided_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/as_strided_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/as_strided_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/as_strided_scatter.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/as_strided_scatter_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/as_strided_scatter_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/as_strided_scatter_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/asin.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/asin_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/asin_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/asin_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/asin_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/asin_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/asin_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/asin_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/asinh.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/asinh_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/asinh_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/asinh_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/asinh_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/asinh_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/asinh_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/asinh_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/atan.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/atan2.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/atan2_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/atan2_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/atan2_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/atan2_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/atan2_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/atan2_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/atan2_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/atan_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/atan_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/atan_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/atan_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/atan_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/atan_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/atan_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/atanh.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/atanh_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/atanh_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/atanh_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/atanh_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/atanh_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/atanh_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/atanh_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/atleast_1d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/atleast_1d_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/atleast_1d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/atleast_1d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/atleast_2d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/atleast_2d_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/atleast_2d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/atleast_2d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/atleast_3d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/atleast_3d_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/atleast_3d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/atleast_3d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/avg_pool1d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/avg_pool1d_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/avg_pool1d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/avg_pool1d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/avg_pool2d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/avg_pool2d_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/avg_pool2d_backward_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/avg_pool2d_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/avg_pool2d_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/avg_pool2d_backward_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/avg_pool2d_backward_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/avg_pool2d_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/avg_pool2d_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/avg_pool2d_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/avg_pool2d_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/avg_pool2d_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/avg_pool2d_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/avg_pool2d_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/avg_pool2d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/avg_pool2d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/avg_pool3d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/avg_pool3d_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/avg_pool3d_backward_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/avg_pool3d_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/avg_pool3d_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/avg_pool3d_backward_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/avg_pool3d_backward_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/avg_pool3d_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/avg_pool3d_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/avg_pool3d_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/avg_pool3d_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/avg_pool3d_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/avg_pool3d_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/avg_pool3d_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/avg_pool3d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/avg_pool3d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/baddbmm.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/baddbmm_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/baddbmm_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/baddbmm_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/baddbmm_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/baddbmm_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/baddbmm_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/baddbmm_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bartlett_window.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bartlett_window_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bartlett_window_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bartlett_window_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/batch_norm.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/batch_norm_backward_elemt.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/batch_norm_backward_elemt_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/batch_norm_backward_elemt_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/batch_norm_backward_elemt_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/batch_norm_backward_elemt_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/batch_norm_backward_reduce.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/batch_norm_backward_reduce_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/batch_norm_backward_reduce_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/batch_norm_backward_reduce_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/batch_norm_backward_reduce_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/batch_norm_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/batch_norm_elemt.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/batch_norm_elemt_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/batch_norm_elemt_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/batch_norm_elemt_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/batch_norm_gather_stats.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/batch_norm_gather_stats_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/batch_norm_gather_stats_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/batch_norm_gather_stats_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/batch_norm_gather_stats_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/batch_norm_gather_stats_with_counts.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/batch_norm_gather_stats_with_counts_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/batch_norm_gather_stats_with_counts_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/batch_norm_gather_stats_with_counts_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/batch_norm_gather_stats_with_counts_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/batch_norm_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/batch_norm_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/batch_norm_stats.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/batch_norm_stats_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/batch_norm_stats_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/batch_norm_stats_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/batch_norm_stats_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/batch_norm_update_stats.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/batch_norm_update_stats_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/batch_norm_update_stats_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/batch_norm_update_stats_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/batch_norm_update_stats_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/batch_norm_update_stats_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bernoulli_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bernoulli_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bernoulli_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bernoulli_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bernoulli_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bernoulli_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bernoulli_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bilinear.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bilinear_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bilinear_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bilinear_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/binary_cross_entropy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/binary_cross_entropy_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/binary_cross_entropy_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/binary_cross_entropy_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/binary_cross_entropy_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/binary_cross_entropy_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/binary_cross_entropy_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/binary_cross_entropy_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/binary_cross_entropy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/binary_cross_entropy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/binary_cross_entropy_with_logits.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/binary_cross_entropy_with_logits_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/binary_cross_entropy_with_logits_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/binary_cross_entropy_with_logits_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bincount.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bincount_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bincount_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bincount_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bincount_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bincount_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/binomial.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/binomial_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/binomial_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/binomial_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/binomial_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/binomial_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_and.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_and_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_and_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_and_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_and_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_and_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_and_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_and_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_and_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_and_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_left_shift.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_left_shift_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_left_shift_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_left_shift_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_left_shift_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_left_shift_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_left_shift_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_left_shift_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_left_shift_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_not.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_not_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_not_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_not_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_not_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_not_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_not_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_not_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_or.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_or_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_or_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_or_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_or_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_or_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_or_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_or_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_or_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_or_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_right_shift.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_right_shift_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_right_shift_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_right_shift_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_right_shift_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_right_shift_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_right_shift_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_right_shift_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_right_shift_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_xor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_xor_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_xor_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/diagflat_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_xor_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_xor_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_xor_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_xor_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_xor_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_xor_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_xor_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/blackman_window.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/blackman_window_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/blackman_window_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/blackman_window_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/block_diag.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/block_diag_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/block_diag_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/block_diag_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bmm.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bmm_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bmm_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bmm_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bmm_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bmm_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bmm_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bmm_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/broadcast_tensors.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/broadcast_tensors_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/broadcast_tensors_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/broadcast_tensors_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/broadcast_to.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/broadcast_to_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/broadcast_to_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/broadcast_to_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bucketize.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bucketize_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bucketize_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bucketize_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bucketize_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bucketize_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/can_cast.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/can_cast_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/can_cast_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/can_cast_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cartesian_prod.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cartesian_prod_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cartesian_prod_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cartesian_prod_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cat.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cat_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cat_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cat_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cat_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cat_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cat_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cat_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cat_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cauchy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cauchy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cauchy_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cauchy_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cauchy_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cauchy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cauchy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ccol_indices.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ccol_indices_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ccol_indices_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ccol_indices_copy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ccol_indices_copy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ccol_indices_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ccol_indices_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ccol_indices_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ccol_indices_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cdist.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cdist_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cdist_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cdist_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ceil.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ceil_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ceil_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ceil_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ceil_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ceil_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ceil_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ceil_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/celu.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/celu_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/celu_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/celu_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/chain_matmul.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/chain_matmul_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/chain_matmul_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/chain_matmul_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/chalf.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/chalf_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/chalf_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/chalf_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/channel_shuffle.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/channel_shuffle_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/channel_shuffle_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/channel_shuffle_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/channel_shuffle_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cholesky.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cholesky_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cholesky_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cholesky_inverse.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_grid_sampler.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cholesky_inverse_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cholesky_inverse_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cholesky_inverse_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cholesky_inverse_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cholesky_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cholesky_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cholesky_solve.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cholesky_solve_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cholesky_solve_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cholesky_solve_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/choose_qparams_optimized.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/choose_qparams_optimized_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/choose_qparams_optimized_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/choose_qparams_optimized_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/chunk.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/chunk_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/chunk_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/chunk_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/clamp.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/clamp_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/clamp_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/clamp_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/clamp_max.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/clamp_max_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/clamp_max_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/clamp_max_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/clamp_max_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/clamp_max_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/clamp_max_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/clamp_max_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/clamp_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/clamp_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/clamp_min.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/clamp_min_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/clamp_min_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/clamp_min_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/clamp_min_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/clamp_min_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/clamp_min_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/clamp_min_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/clamp_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/clamp_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/clip.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/clip_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/clip_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/clip_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/clone.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/clone_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/clone_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/clone_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/coalesce.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/coalesce_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/coalesce_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/coalesce_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/col2im.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/col2im_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/col2im_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/col2im_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/col2im_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/col_indices.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/col_indices_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/col_indices_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/col_indices_copy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/col_indices_copy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/col_indices_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/col_indices_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/col_indices_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/col_indices_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/column_stack.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/column_stack_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/column_stack_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/column_stack_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/combinations.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/combinations_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/combinations_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/combinations_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/complex.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/complex_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/complex_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/complex_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/complex_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/complex_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/concat.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/concat_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/concat_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/concat_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/concatenate.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/concatenate_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/concatenate_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/concatenate_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conj.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conj_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conj_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conj_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conj_physical.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conj_physical_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conj_physical_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conj_physical_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conj_physical_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conj_physical_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conj_physical_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/constant_pad_nd.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/constant_pad_nd_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/constant_pad_nd_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/constant_pad_nd_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/contiguous.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/contiguous_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/contiguous_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/contiguous_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conv1d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conv1d_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conv1d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conv1d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conv2d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conv2d_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conv2d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conv2d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conv3d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conv3d_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conv3d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conv3d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conv_depthwise3d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conv_depthwise3d_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conv_depthwise3d_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conv_depthwise3d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conv_depthwise3d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conv_tbc.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conv_tbc_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conv_tbc_backward_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conv_tbc_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conv_tbc_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conv_tbc_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conv_tbc_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conv_tbc_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conv_transpose1d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conv_transpose1d_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conv_transpose1d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conv_transpose1d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conv_transpose2d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conv_transpose2d_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conv_transpose2d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conv_transpose2d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conv_transpose3d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conv_transpose3d_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conv_transpose3d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conv_transpose3d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/convolution.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/convolution_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/convolution_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/convolution_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/convolution_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/convolution_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/convolution_backward_overrideable.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/convolution_backward_overrideable_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/convolution_backward_overrideable_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/convolution_backward_overrideable_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/convolution_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/convolution_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/convolution_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/convolution_overrideable.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/convolution_overrideable_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/convolution_overrideable_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/convolution_overrideable_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/copy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/copy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/copy_sparse_to_sparse.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/copy_sparse_to_sparse_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/copy_sparse_to_sparse_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/copy_sparse_to_sparse_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/copy_sparse_to_sparse_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/copysign.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/copysign_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/copysign_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/copysign_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/copysign_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/copysign_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/copysign_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/copysign_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/copysign_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/corrcoef.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/corrcoef_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/corrcoef_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/corrcoef_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cos.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cos_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cos_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cos_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cos_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cos_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cos_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cos_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cosh.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_convolution_transpose_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cosh_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cosh_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cosh_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cosh_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cosh_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cosh_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cosh_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cosine_embedding_loss.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cosine_embedding_loss_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cosine_embedding_loss_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cosine_embedding_loss_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cosine_similarity.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cosine_similarity_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cosine_similarity_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cosine_similarity_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/count_nonzero.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/count_nonzero_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/count_nonzero_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/count_nonzero_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/count_nonzero_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/count_nonzero_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cov.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cov_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cov_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cov_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cross.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cross_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cross_entropy_loss.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cross_entropy_loss_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cross_entropy_loss_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cross_entropy_loss_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cross_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cross_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/crow_indices.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/crow_indices_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/crow_indices_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/crow_indices_copy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/crow_indices_copy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/crow_indices_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/crow_indices_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/crow_indices_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/crow_indices_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ctc_loss.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ctc_loss_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ctc_loss_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ctc_loss_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_affine_grid_generator.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_affine_grid_generator_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_affine_grid_generator_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_affine_grid_generator_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_affine_grid_generator_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_affine_grid_generator_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_affine_grid_generator_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_affine_grid_generator_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_affine_grid_generator_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_affine_grid_generator_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_batch_norm.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_batch_norm_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_batch_norm_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_batch_norm_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_batch_norm_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_batch_norm_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_batch_norm_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_batch_norm_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_batch_norm_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_batch_norm_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_convolution.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_convolution_add_relu.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_convolution_add_relu_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_convolution_add_relu_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_convolution_add_relu_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_convolution_add_relu_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_convolution_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_convolution_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_convolution_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_convolution_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_convolution_relu.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_convolution_relu_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_convolution_relu_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_convolution_relu_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_convolution_relu_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_convolution_transpose.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_convolution_transpose_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_convolution_transpose_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_convolution_transpose_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_grid_sampler_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_grid_sampler_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_grid_sampler_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_grid_sampler_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_grid_sampler_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_grid_sampler_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_grid_sampler_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_grid_sampler_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_grid_sampler_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_is_acceptable.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_is_acceptable_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_is_acceptable_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_is_acceptable_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cummax.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cummax_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cummax_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cummax_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cummax_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cummaxmin_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cummaxmin_backward_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cummaxmin_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cummaxmin_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cummin.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cummin_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cummin_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cummin_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cummin_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cumprod.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cumprod_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cumprod_backward_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cumprod_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cumprod_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cumprod_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cumprod_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cumprod_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cumprod_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cumprod_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cumprod_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cumprod_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cumprod_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cumsum.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cumsum_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cumsum_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cumsum_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cumsum_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cumsum_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cumsum_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cumsum_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cumsum_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cumulative_trapezoid.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cumulative_trapezoid_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cumulative_trapezoid_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cumulative_trapezoid_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/data.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/data_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/data_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/data_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/deg2rad.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/deg2rad_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/deg2rad_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/deg2rad_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/dense_dim.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/dense_dim_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/dense_dim_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/dense_dim_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/dense_dim_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/dequantize.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/dequantize_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/dequantize_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/dequantize_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/dequantize_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/dequantize_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/det.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/det_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/det_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/det_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/detach.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/detach_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/detach_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/detach_copy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/detach_copy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/detach_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/detach_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/detach_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/detach_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/diag.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/diag_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/diag_embed.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/diag_embed_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/diag_embed_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/diag_embed_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/diag_embed_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/diag_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/diag_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/diagflat.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/diagflat_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/diagflat_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/diagonal_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/diagonal_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/diagonal_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/diagonal_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/diagonal_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/diagonal_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/diagonal_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/diagonal_copy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/diagonal_copy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/diagonal_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/diagonal_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/diagonal_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/diagonal_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/diagonal_scatter.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/diagonal_scatter_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/diagonal_scatter_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/diagonal_scatter_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/diff.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/diff_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/diff_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/diff_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/digamma.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/digamma_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/digamma_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/digamma_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/digamma_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/digamma_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/digamma_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/digamma_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/dist.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/dist_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/dist_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/dist_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/div.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/div_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/div_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/div_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/div_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/div_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/div_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/div_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/div_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/divide.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/divide_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/divide_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/divide_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/dot.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/dot_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/dot_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/dot_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/dot_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/dot_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/dropout.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/dropout_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/dropout_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/dropout_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/dsplit.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/dsplit_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/dsplit_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/dsplit_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/dstack.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/dstack_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/dstack_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/dstack_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/einsum.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/einsum_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/einsum_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/einsum_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/elu.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/elu_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/elu_backward_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/elu_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/elu_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/elu_backward_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/elu_backward_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/elu_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/elu_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/elu_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/elu_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/elu_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/elu_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/elu_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/elu_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/elu_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/embedding.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/embedding_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/embedding_backward_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/embedding_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/embedding_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/embedding_bag.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/embedding_bag_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/embedding_bag_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/embedding_bag_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/embedding_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/embedding_dense_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/embedding_dense_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/embedding_dense_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/embedding_dense_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/embedding_dense_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/embedding_dense_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/embedding_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/embedding_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/embedding_renorm.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/embedding_renorm_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/embedding_renorm_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/embedding_renorm_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/embedding_renorm_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/embedding_renorm_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/embedding_renorm_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/embedding_sparse_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/embedding_sparse_backward_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/embedding_sparse_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/embedding_sparse_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/empty.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/empty_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/empty_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/empty_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/empty_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/empty_like.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/empty_like_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/empty_like_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/empty_like_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/empty_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/empty_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/empty_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/empty_quantized.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/empty_quantized_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/empty_quantized_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/empty_quantized_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/empty_strided.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/empty_strided_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/empty_strided_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/empty_strided_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/empty_strided_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/empty_strided_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/empty_strided_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/eq.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/eq_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/eq_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/eq_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/eq_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/eq_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/eq_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/eq_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/equal.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/equal_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/equal_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/equal_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/equal_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/erf.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/erf_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/erf_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/erf_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/erf_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/erf_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/erf_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/erf_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/erfc.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/erfc_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/erfc_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/erfc_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/erfc_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/erfc_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/erfc_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/erfc_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/erfinv.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/erfinv_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/erfinv_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/erfinv_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/erfinv_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/erfinv_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/erfinv_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/erfinv_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/exp.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/exp2.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/exp2_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/exp2_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/exp2_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/exp2_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/exp2_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/exp2_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/exp2_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/exp_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/exp_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/exp_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/exp_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/exp_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/exp_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/exp_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/expand.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/expand_as.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/expand_as_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/expand_as_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/expand_as_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/expand_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/expand_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/expand_copy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/expand_copy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/expand_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/expand_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/expand_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/expand_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/expm1.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/expm1_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/expm1_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/expm1_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/expm1_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/expm1_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/expm1_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/expm1_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/exponential.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/exponential_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/exponential_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/exponential_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/exponential_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/exponential_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/exponential_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/eye.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/eye_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/eye_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/eye_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/eye_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/eye_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/eye_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fake_quantize_per_channel_affine.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fake_quantize_per_channel_affine_cachemask.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fake_quantize_per_channel_affine_cachemask_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fake_quantize_per_channel_affine_cachemask_backward_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fake_quantize_per_channel_affine_cachemask_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fake_quantize_per_channel_affine_cachemask_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fake_quantize_per_channel_affine_cachemask_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fake_quantize_per_channel_affine_cachemask_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fake_quantize_per_channel_affine_cachemask_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fake_quantize_per_channel_affine_cachemask_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fake_quantize_per_channel_affine_cachemask_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fake_quantize_per_channel_affine_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fake_quantize_per_channel_affine_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fake_quantize_per_channel_affine_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fake_quantize_per_tensor_affine.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fake_quantize_per_tensor_affine_cachemask.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fake_quantize_per_tensor_affine_cachemask_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fake_quantize_per_tensor_affine_cachemask_backward_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fake_quantize_per_tensor_affine_cachemask_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fake_quantize_per_tensor_affine_cachemask_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fake_quantize_per_tensor_affine_cachemask_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fake_quantize_per_tensor_affine_cachemask_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fake_quantize_per_tensor_affine_cachemask_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fake_quantize_per_tensor_affine_cachemask_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fake_quantize_per_tensor_affine_cachemask_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fake_quantize_per_tensor_affine_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fake_quantize_per_tensor_affine_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fake_quantize_per_tensor_affine_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fbgemm_linear_fp16_weight.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fbgemm_linear_fp16_weight_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fbgemm_linear_fp16_weight_fp32_activation.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fbgemm_linear_fp16_weight_fp32_activation_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fbgemm_linear_fp16_weight_fp32_activation_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fbgemm_linear_fp16_weight_fp32_activation_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fbgemm_linear_fp16_weight_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fbgemm_linear_fp16_weight_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fbgemm_linear_int8_weight.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fbgemm_linear_int8_weight_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fbgemm_linear_int8_weight_fp32_activation.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fbgemm_linear_int8_weight_fp32_activation_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fbgemm_linear_int8_weight_fp32_activation_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fbgemm_linear_int8_weight_fp32_activation_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fbgemm_linear_int8_weight_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fbgemm_linear_int8_weight_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fbgemm_linear_quantize_weight.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fbgemm_linear_quantize_weight_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fbgemm_linear_quantize_weight_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fbgemm_linear_quantize_weight_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fbgemm_pack_gemm_matrix_fp16.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fbgemm_pack_gemm_matrix_fp16_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fbgemm_pack_gemm_matrix_fp16_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fbgemm_pack_gemm_matrix_fp16_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fbgemm_pack_quantized_matrix.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fbgemm_pack_quantized_matrix_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fbgemm_pack_quantized_matrix_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fbgemm_pack_quantized_matrix_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/feature_alpha_dropout.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/feature_alpha_dropout_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/feature_alpha_dropout_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/feature_alpha_dropout_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/feature_dropout.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/feature_dropout_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/feature_dropout_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/feature_dropout_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_fft.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_fft2.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_fft2_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_fft2_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_fft2_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_fft_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_fft_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_fft_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_fftfreq.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_fftfreq_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_fftfreq_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_fftfreq_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_fftn.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_fftn_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_fftn_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_fftn_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_fftshift.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_fftshift_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_fftshift_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_fftshift_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_hfft.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_hfft2.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_hfft2_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_hfft2_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_hfft2_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_hfft_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_hfft_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_hfft_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_hfftn.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_hfftn_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_hfftn_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_hfftn_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_ifft.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_ifft2.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_ifft2_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_ifft2_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_ifft2_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_ifft_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_ifft_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_ifft_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_ifftn.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_ifftn_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_ifftn_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_ifftn_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_ifftshift.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_ifftshift_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_ifftshift_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_ifftshift_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_ihfft.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_ihfft2.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_ihfft2_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_ihfft2_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_ihfft2_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_ihfft_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_ihfft_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_ihfft_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_ihfftn.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_ihfftn_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_ihfftn_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_ihfftn_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_irfft.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_irfft2.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_irfft2_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_irfft2_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_irfft2_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_irfft_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_irfft_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_irfft_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_irfftn.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_irfftn_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_irfftn_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_irfftn_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_rfft.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_rfft2.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_rfft2_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_rfft2_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_rfft2_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_rfft_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_rfft_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_rfft_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_rfftfreq.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_rfftfreq_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_rfftfreq_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_rfftfreq_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_rfftn.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_rfftn_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_rfftn_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_rfftn_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fill.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fill_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fill_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fill_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fill_diagonal.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fill_diagonal_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fill_diagonal_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fill_diagonal_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fill_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fill_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fill_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fix.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fix_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fix_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fix_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/flatten.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/flatten_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/flatten_dense_tensors.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/flatten_dense_tensors_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/flatten_dense_tensors_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/flatten_dense_tensors_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/flatten_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/flatten_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/flip.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/flip_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/flip_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/flip_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/flip_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/flip_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fliplr.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fliplr_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fliplr_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fliplr_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/flipud.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/flipud_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/flipud_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/flipud_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/float_power.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/float_power_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/float_power_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/float_power_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/floor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/floor_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/floor_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/floor_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/floor_divide.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/floor_divide_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/floor_divide_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/floor_divide_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/floor_divide_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/floor_divide_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/floor_divide_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/floor_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/floor_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/floor_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/floor_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fmax.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fmax_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fmax_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fmax_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fmax_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fmax_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fmax_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fmax_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fmin.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fmin_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fmin_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fmin_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fmin_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fmin_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fmin_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fmin_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fmod.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fmod_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fmod_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fmod_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fmod_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fmod_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fmod_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fmod_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fmod_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/frac.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/frac_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/frac_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/frac_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/frac_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/frac_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/frac_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/frac_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fractional_max_pool2d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fractional_max_pool2d_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fractional_max_pool2d_backward_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fractional_max_pool2d_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fractional_max_pool2d_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fractional_max_pool2d_backward_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fractional_max_pool2d_backward_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fractional_max_pool2d_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fractional_max_pool2d_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fractional_max_pool2d_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fractional_max_pool2d_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fractional_max_pool2d_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fractional_max_pool2d_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fractional_max_pool2d_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fractional_max_pool2d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fractional_max_pool2d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fractional_max_pool3d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fractional_max_pool3d_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fractional_max_pool3d_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fractional_max_pool3d_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fractional_max_pool3d_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fractional_max_pool3d_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fractional_max_pool3d_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fractional_max_pool3d_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fractional_max_pool3d_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fractional_max_pool3d_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fractional_max_pool3d_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fractional_max_pool3d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fractional_max_pool3d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/frexp.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/frexp_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/frexp_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/frexp_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/frexp_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/frexp_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/frobenius_norm.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/frobenius_norm_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/frobenius_norm_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/frobenius_norm_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/from_file.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/from_file_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/from_file_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/from_file_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/from_file_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/full.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/full_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/full_like.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/full_like_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/full_like_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/full_like_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/full_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/full_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fused_moving_avg_obs_fake_quant.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fused_moving_avg_obs_fake_quant_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fused_moving_avg_obs_fake_quant_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fused_moving_avg_obs_fake_quant_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gather.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gather_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gather_backward_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gather_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gather_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gather_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gather_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gather_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gather_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gather_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gather_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gather_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gather_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gcd.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gcd_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gcd_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gcd_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gcd_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gcd_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gcd_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gcd_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ge.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ge_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ge_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ge_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ge_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ge_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ge_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ge_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gelu.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gelu_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gelu_backward_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gelu_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gelu_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gelu_backward_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gelu_backward_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gelu_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gelu_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gelu_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gelu_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gelu_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gelu_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gelu_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gelu_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gelu_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/geometric.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/geometric_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/geometric_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/geometric_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/geometric_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/geometric_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/geometric_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/geqrf.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/geqrf_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/geqrf_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/geqrf_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/geqrf_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ger.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ger_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ger_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/glu.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/glu_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/glu_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/glu_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/glu_backward_jvp.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/glu_backward_jvp_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/glu_backward_jvp_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/glu_backward_jvp_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/glu_backward_jvp_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/glu_backward_jvp_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/glu_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/glu_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/glu_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/glu_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/glu_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/glu_jvp.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/glu_jvp_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/glu_jvp_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/glu_jvp_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/glu_jvp_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/glu_jvp_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/glu_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/glu_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/glu_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/glu_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gradient.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gradient_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gradient_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gradient_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/greater.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/greater_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/greater_equal.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/greater_equal_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/greater_equal_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/greater_equal_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/greater_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/greater_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/grid_sampler.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/grid_sampler_2d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/grid_sampler_2d_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/grid_sampler_2d_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/grid_sampler_2d_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/grid_sampler_2d_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/grid_sampler_2d_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/grid_sampler_2d_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/grid_sampler_2d_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/grid_sampler_2d_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/grid_sampler_2d_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/grid_sampler_2d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/grid_sampler_2d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/grid_sampler_3d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/grid_sampler_3d_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/grid_sampler_3d_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/grid_sampler_3d_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/grid_sampler_3d_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/grid_sampler_3d_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/grid_sampler_3d_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/grid_sampler_3d_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/grid_sampler_3d_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/grid_sampler_3d_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/grid_sampler_3d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/grid_sampler_3d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/grid_sampler_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/grid_sampler_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/grid_sampler_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/group_norm.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/group_norm_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/group_norm_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/group_norm_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gru.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gru_cell.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gru_cell_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gru_cell_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gru_cell_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gru_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gru_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gru_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gt.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gt_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gt_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gt_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gt_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gt_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gt_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gt_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hamming_window.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hamming_window_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hamming_window_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hamming_window_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hann_window.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hann_window_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hann_window_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hann_window_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardshrink.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardshrink_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardshrink_backward_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardshrink_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hypot_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardshrink_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardshrink_backward_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardshrink_backward_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardshrink_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardshrink_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardshrink_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardshrink_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardshrink_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardshrink_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardshrink_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardshrink_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardshrink_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardsigmoid.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardsigmoid_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardsigmoid_backward_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardsigmoid_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardsigmoid_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardsigmoid_backward_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardsigmoid_backward_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardsigmoid_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardsigmoid_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardsigmoid_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardsigmoid_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardsigmoid_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardsigmoid_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardsigmoid_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardsigmoid_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardsigmoid_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardswish.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardswish_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardswish_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardswish_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardswish_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardswish_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardswish_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardswish_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardswish_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardswish_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardswish_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardswish_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardtanh.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardtanh_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardtanh_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardtanh_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardtanh_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardtanh_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardtanh_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardtanh_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardtanh_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardtanh_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardtanh_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/heaviside.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/heaviside_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/heaviside_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/heaviside_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/heaviside_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/heaviside_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/heaviside_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/heaviside_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hinge_embedding_loss.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hinge_embedding_loss_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hinge_embedding_loss_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hinge_embedding_loss_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/histc.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/histc_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/histc_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/histc_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/histc_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/histogram.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/histogram_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/histogram_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/histogram_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/histogramdd.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/histogramdd_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/histogramdd_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/histogramdd_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hsplit.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hsplit_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hsplit_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hsplit_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hspmm.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hspmm_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hspmm_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hstack.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hstack_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hstack_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hstack_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/huber_loss.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/huber_loss_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/huber_loss_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/huber_loss_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/huber_loss_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/huber_loss_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/huber_loss_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/huber_loss_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/huber_loss_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/huber_loss_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/huber_loss_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hypot.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hypot_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hypot_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hypot_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hypot_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hypot_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hypot_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/i0.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/i0_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/i0_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/i0_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/i0_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/i0_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/i0_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/i0_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/igamma.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/igamma_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/igamma_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/igamma_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/igamma_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/igamma_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/igamma_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/igamma_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/igammac.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/igammac_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/igammac_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/igammac_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/igammac_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/igammac_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/igammac_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/igammac_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/im2col.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/im2col_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/im2col_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/im2col_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/im2col_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/imag.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/imag_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/imag_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/imag_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_add.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_add_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_add_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_add_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_add_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_add_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_add_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_add_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_add_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_copy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_copy_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_copy_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_copy_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_copy_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_copy_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_fill.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_fill_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_fill_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_fill_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_fill_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_fill_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_fill_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_fill_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_put.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_put_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_put_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_put_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_reduce.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_reduce_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_reduce_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_reduce_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_reduce_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_reduce_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_reduce_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_reduce_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_select.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_select_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_select_backward_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_select_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_select_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_select_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_select_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_select_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_select_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_select_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/indices.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/indices_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/indices_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/indices_copy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/indices_copy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/indices_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/indices_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/indices_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/indices_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isnan_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/infinitely_differentiable_gelu_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/infinitely_differentiable_gelu_backward_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/infinitely_differentiable_gelu_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/infinitely_differentiable_gelu_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/inner.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/inner_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/inner_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/inner_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/instance_norm.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/instance_norm_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/instance_norm_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/instance_norm_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/int_repr.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/int_repr_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/int_repr_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/int_repr_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/inverse.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/inverse_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/inverse_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/inverse_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_coalesced.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_coalesced_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_coalesced_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_coalesced_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_complex.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_complex_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_complex_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_complex_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_conj.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_conj_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_conj_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_conj_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_distributed.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_distributed_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_distributed_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_distributed_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_floating_point.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_floating_point_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_floating_point_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_floating_point_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_inference.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_inference_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_inference_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_inference_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_leaf.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_leaf_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_leaf_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_leaf_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_neg.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_neg_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_neg_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_neg_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_nonzero.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_nonzero_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_nonzero_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_nonzero_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_pinned.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_pinned_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_pinned_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_pinned_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_pinned_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_same_size.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_same_size_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_same_size_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_same_size_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_set_to.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_set_to_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_set_to_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_set_to_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_set_to_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_signed.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_signed_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_signed_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_signed_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_vulkan_available.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_vulkan_available_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_vulkan_available_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_vulkan_available_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isclose.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isclose_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isclose_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isclose_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isfinite.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isfinite_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isfinite_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isfinite_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isin.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isin_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isin_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isin_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isin_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isin_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isin_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isin_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isinf.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isinf_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isinf_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isinf_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isnan.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isnan_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isnan_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isnan_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isnan_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isneginf.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isneginf_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isneginf_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isneginf_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isneginf_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isneginf_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isneginf_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isneginf_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isposinf.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isposinf_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isposinf_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isposinf_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isposinf_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isposinf_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isposinf_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isposinf_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isreal.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isreal_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isreal_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isreal_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/istft.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/istft_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/istft_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/istft_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/item.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/item_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/item_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/item_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/kaiser_window.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/kaiser_window_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/kaiser_window_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/kaiser_window_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/kl_div.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/kl_div_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/kl_div_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/kl_div_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/kron.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/kron_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/kron_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/kron_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/kthvalue.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/kthvalue_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/kthvalue_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/kthvalue_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/kthvalue_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/kthvalue_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/kthvalue_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/l1_loss.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/l1_loss_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/l1_loss_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/l1_loss_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/layer_norm.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/layer_norm_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/layer_norm_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/layer_norm_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lcm.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lcm_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lcm_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lcm_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lcm_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lcm_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lcm_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lcm_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ldexp.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ldexp_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ldexp_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ldexp_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/le.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/le_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/le_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/le_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/le_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/le_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/le_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/le_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/leaky_relu.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/leaky_relu_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/leaky_relu_backward_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/leaky_relu_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/leaky_relu_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/leaky_relu_backward_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/leaky_relu_backward_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/leaky_relu_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/leaky_relu_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/leaky_relu_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/leaky_relu_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/leaky_relu_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/leaky_relu_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/leaky_relu_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/leaky_relu_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/leaky_relu_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lerp.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lerp_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lerp_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lerp_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lerp_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lerp_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lerp_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lerp_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/less.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/less_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/less_equal.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/less_equal_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/less_equal_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/less_equal_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/less_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/less_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lgamma.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lgamma_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lgamma_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lgamma_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lgamma_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lgamma_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lgamma_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lgamma_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lift.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lift_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lift_fresh.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lift_fresh_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lift_fresh_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lift_fresh_copy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lift_fresh_copy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lift_fresh_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lift_fresh_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lift_fresh_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lift_fresh_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lift_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lift_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_cholesky.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_cholesky_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_cholesky_ex.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_cholesky_ex_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_cholesky_ex_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_cholesky_ex_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_cholesky_ex_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_cholesky_ex_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_cholesky_ex_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_cholesky_ex_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_cholesky_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_cholesky_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_cond.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_cond_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_cond_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_cond_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_cross.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_cross_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_cross_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_cross_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_cross_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_cross_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_cross_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_cross_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_det.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_det_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_det_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_det_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_diagonal.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_diagonal_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_diagonal_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_diagonal_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_eig.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_eig_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_eig_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_eig_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_eig_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_eigh.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_eigh_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_eigh_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_eigh_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_eigvals.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_eigvals_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_eigvals_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_eigvals_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_eigvalsh.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_eigvalsh_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_eigvalsh_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_eigvalsh_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_householder_product.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_householder_product_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_householder_product_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_householder_product_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_householder_product_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_inv.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_inv_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_inv_ex.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_inv_ex_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_inv_ex_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_inv_ex_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_inv_ex_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_inv_ex_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_inv_ex_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_inv_ex_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_inv_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_inv_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_ldl_factor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_ldl_factor_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_ldl_factor_ex.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_ldl_factor_ex_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_ldl_factor_ex_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_ldl_factor_ex_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_ldl_factor_ex_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_qr_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_ldl_factor_ex_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_ldl_factor_ex_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_ldl_factor_ex_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_ldl_factor_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_ldl_factor_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_ldl_solve.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_ldl_solve_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_ldl_solve_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_ldl_solve_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_ldl_solve_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_ldl_solve_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_ldl_solve_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_ldl_solve_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_lstsq.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_lstsq_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_lstsq_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_lstsq_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_lstsq_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_lstsq_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_lu.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_lu_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_lu_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_lu_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_lu_factor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_lu_factor_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_lu_factor_ex.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_lu_factor_ex_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_lu_factor_ex_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_lu_factor_ex_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_lu_factor_ex_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_lu_factor_ex_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_lu_factor_ex_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_lu_factor_ex_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_lu_factor_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_lu_factor_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_lu_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_lu_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_lu_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_lu_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_lu_solve.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_lu_solve_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_lu_solve_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_lu_solve_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_lu_solve_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_lu_solve_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_lu_solve_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_lu_solve_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_matmul.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_matmul_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_matmul_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_matmul_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_matrix_exp.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_matrix_exp_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_matrix_exp_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_matrix_exp_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_matrix_exp_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_matrix_exp_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_matrix_norm.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_matrix_norm_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_matrix_norm_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_matrix_norm_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_matrix_power.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_matrix_power_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_matrix_power_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_matrix_power_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_matrix_rank.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_matrix_rank_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_matrix_rank_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_matrix_rank_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_multi_dot.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_multi_dot_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_multi_dot_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_multi_dot_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_norm.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_norm_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_norm_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_norm_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_pinv.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_pinv_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_pinv_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_pinv_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_pinv_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_pinv_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_qr.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_qr_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_qr_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_qr_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_qr_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_qr_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_qr_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_slogdet.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_slogdet_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_slogdet_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_slogdet_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_solve.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_solve_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_solve_ex.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_solve_ex_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_solve_ex_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_solve_ex_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_solve_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_solve_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_solve_triangular.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_solve_triangular_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_solve_triangular_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_solve_triangular_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_solve_triangular_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_svd.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_svd_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_svd_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_svd_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_svdvals.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_svdvals_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_svdvals_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_svdvals_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_tensorinv.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_tensorinv_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_tensorinv_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_tensorinv_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_tensorsolve.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_tensorsolve_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_tensorsolve_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_tensorsolve_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_vander.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_vander_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_vander_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_vander_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_vecdot.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_vecdot_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_vecdot_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_vecdot_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_vector_norm.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_vector_norm_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_vector_norm_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_vector_norm_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_vector_norm_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_vector_norm_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_vector_norm_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_vector_norm_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linear.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linear_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linear_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linear_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linear_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linear_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linear_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linear_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linear_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linspace.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linspace_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linspace_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linspace_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linspace_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linspace_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linspace_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log10.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log10_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log10_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log10_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log10_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log10_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log10_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log10_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log1p.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log1p_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log1p_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log1p_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log1p_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log1p_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log1p_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log1p_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log2.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log2_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log2_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log2_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log2_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log2_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log2_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log2_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log_normal.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log_normal_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/min.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log_normal_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log_normal_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log_normal_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log_normal_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log_normal_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log_sigmoid.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log_sigmoid_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log_sigmoid_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log_sigmoid_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log_sigmoid_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log_sigmoid_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log_sigmoid_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log_sigmoid_forward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log_sigmoid_forward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log_sigmoid_forward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log_sigmoid_forward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log_sigmoid_forward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log_sigmoid_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log_sigmoid_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log_softmax.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log_softmax_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log_softmax_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log_softmax_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log_softmax_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logaddexp.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logaddexp2.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logaddexp2_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logaddexp2_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logaddexp2_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logaddexp2_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logaddexp2_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logaddexp2_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logaddexp2_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logaddexp_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logaddexp_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logaddexp_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logaddexp_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logaddexp_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logaddexp_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logaddexp_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logcumsumexp.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logcumsumexp_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logcumsumexp_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logcumsumexp_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logcumsumexp_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logdet.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logdet_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logdet_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logdet_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logical_and.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logical_and_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logical_and_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logical_and_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logical_and_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logical_and_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logical_not.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logical_not_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logical_not_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logical_not_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logical_not_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logical_not_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logical_or.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logical_or_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logical_or_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logical_or_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logical_or_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logical_or_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logical_xor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logical_xor_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logical_xor_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logical_xor_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logical_xor_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logical_xor_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logit.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logit_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logit_backward_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logit_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logit_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logit_backward_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logit_backward_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logit_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logit_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logit_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logit_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logit_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logit_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logit_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logspace.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logspace_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logspace_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logspace_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logspace_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logspace_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logspace_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logsumexp.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logsumexp_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logsumexp_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logsumexp_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logsumexp_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logsumexp_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lshift.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lshift_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lshift_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lshift_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lshift_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lshift_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lshift_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lstm.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lstm_cell.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lstm_cell_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lstm_cell_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lstm_cell_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lstm_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lstm_mps_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lstm_mps_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lstm_mps_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lstm_mps_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lstm_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lstm_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lt.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lt_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lt_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lt_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lt_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lt_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lt_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lt_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lu_solve.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lu_solve_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lu_solve_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lu_solve_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lu_unpack.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lu_unpack_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lu_unpack_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lu_unpack_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lu_unpack_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lu_unpack_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lu_unpack_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lu_unpack_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mH.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mH_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mH_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mH_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mT.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mT_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mT_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mT_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/margin_ranking_loss.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/margin_ranking_loss_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/margin_ranking_loss_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/margin_ranking_loss_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/masked_fill.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/masked_fill_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/masked_fill_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/masked_fill_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/masked_fill_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/masked_fill_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/masked_fill_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/masked_scatter.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/masked_scatter_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/masked_scatter_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/masked_scatter_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/masked_scatter_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/masked_scatter_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/masked_scatter_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/masked_select.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/masked_select_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/masked_select_backward_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/masked_select_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/masked_select_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/masked_select_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/masked_select_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/masked_select_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/masked_select_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/matmul.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/matmul_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/matmul_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/matmul_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/matmul_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/matmul_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/matmul_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/matmul_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/matrix_H.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/matrix_H_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/matrix_H_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/matrix_H_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/matrix_exp.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/matrix_exp_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/matrix_exp_backward_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/matrix_exp_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/matrix_exp_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/matrix_exp_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/matrix_exp_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/matrix_exp_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/matrix_power.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/matrix_power_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/matrix_power_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/matrix_power_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/meshgrid_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool1d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool1d_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool1d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool1d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool1d_with_indices.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool1d_with_indices_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool1d_with_indices_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool1d_with_indices_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool2d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool2d_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool2d_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool2d_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool2d_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool2d_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool2d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool2d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool2d_with_indices.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool2d_with_indices_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool2d_with_indices_backward_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool2d_with_indices_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool2d_with_indices_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool2d_with_indices_backward_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool2d_with_indices_backward_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool2d_with_indices_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool2d_with_indices_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool2d_with_indices_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool2d_with_indices_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool2d_with_indices_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool2d_with_indices_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool2d_with_indices_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool2d_with_indices_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool2d_with_indices_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool3d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool3d_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool3d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool3d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool3d_with_indices.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool3d_with_indices_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool3d_with_indices_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool3d_with_indices_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool3d_with_indices_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool3d_with_indices_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool3d_with_indices_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool3d_with_indices_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool3d_with_indices_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool3d_with_indices_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_unpool2d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_unpool2d_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_unpool2d_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_unpool2d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_unpool2d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_unpool3d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_unpool3d_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_unpool3d_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_unpool3d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_unpool3d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/maximum.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/maximum_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/maximum_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/maximum_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/maximum_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/maximum_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/maximum_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/maximum_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mean.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mean_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mean_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mean_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mean_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mean_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mean_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mean_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mean_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mean_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/median.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/median_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/median_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/median_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/median_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/median_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/median_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/meshgrid.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/meshgrid_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/meshgrid_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/min_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/min_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/min_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/min_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/min_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/min_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/min_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/min_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/minimum.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/minimum_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/minimum_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/minimum_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/minimum_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/minimum_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/minimum_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/minimum_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_batch_norm.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_batch_norm_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_batch_norm_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_batch_norm_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_batch_norm_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_batch_norm_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_batch_norm_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_batch_norm_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_batch_norm_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_batch_norm_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_convolution.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_convolution_add_relu.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_convolution_add_relu_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_convolution_add_relu_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_convolution_add_relu_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_convolution_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_convolution_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_convolution_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_convolution_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_convolution_relu.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_convolution_relu_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_convolution_relu_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_convolution_relu_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_convolution_transpose.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_convolution_transpose_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_convolution_transpose_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_convolution_transpose_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_convolution_transpose_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_depthwise_convolution.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_depthwise_convolution_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_depthwise_convolution_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_depthwise_convolution_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_depthwise_convolution_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_rnn.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_rnn_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_rnn_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_rnn_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_rnn_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_rnn_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_rnn_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_rnn_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_rnn_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_rnn_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mish.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mish_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mish_backward_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mish_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mish_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mish_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mish_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mish_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mish_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mish_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mish_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mish_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mish_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mish_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_adaptive_avg_pool2d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_adaptive_avg_pool2d_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_adaptive_avg_pool2d_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_adaptive_avg_pool2d_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_adaptive_avg_pool2d_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_adaptive_avg_pool2d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_adaptive_avg_pool2d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_convolution.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_convolution_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_convolution_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_convolution_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_linear.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_linear_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_linear_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mse_loss_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_linear_backward_input.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_linear_backward_input_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_linear_backward_input_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_linear_backward_input_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_linear_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_linear_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_linear_backward_weights.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_linear_backward_weights_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_linear_backward_weights_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_linear_backward_weights_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_linear_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_linear_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_linear_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_max_pool2d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_max_pool2d_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_max_pool2d_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_max_pool2d_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_max_pool2d_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_max_pool2d_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_max_pool2d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_max_pool2d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_max_pool3d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_max_pool3d_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_max_pool3d_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_max_pool3d_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_max_pool3d_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_max_pool3d_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_max_pool3d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_max_pool3d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_reorder_conv2d_weight.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_reorder_conv2d_weight_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_reorder_conv2d_weight_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_reorder_conv2d_weight_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_reorder_conv3d_weight.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_reorder_conv3d_weight_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_reorder_conv3d_weight_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_reorder_conv3d_weight_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_rnn_layer.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_rnn_layer_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_rnn_layer_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_rnn_layer_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_rnn_layer_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_rnn_layer_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_rnn_layer_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_rnn_layer_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_rnn_layer_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_rnn_layer_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mm.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mm_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mm_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mm_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mm_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mm_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mm_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mm_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mode.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mode_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mode_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mode_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mode_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mode_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mode_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/moveaxis.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/moveaxis_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/moveaxis_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/moveaxis_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/movedim.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/movedim_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/movedim_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/movedim_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mps_convolution_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mps_convolution_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mps_convolution_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mps_convolution_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mps_convolution_transpose_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mps_convolution_transpose_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mps_convolution_transpose_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mps_convolution_transpose_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mse_loss.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mse_loss_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mse_loss_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mse_loss_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mse_loss_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mse_loss_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mse_loss_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mse_loss_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mse_loss_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mse_loss_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mse_loss_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mse_loss_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/msort.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/msort_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/msort_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/msort_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mul.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mul_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mul_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mul_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mul_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mul_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mul_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mul_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mul_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/multi_margin_loss.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/multi_margin_loss_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/multi_margin_loss_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/multi_margin_loss_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/multi_margin_loss_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/multi_margin_loss_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/multi_margin_loss_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/multi_margin_loss_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/multi_margin_loss_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/multi_margin_loss_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/multilabel_margin_loss.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/multilabel_margin_loss_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/multilabel_margin_loss_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/multilabel_margin_loss_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/multilabel_margin_loss_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/multilabel_margin_loss_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/multilabel_margin_loss_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/multilabel_margin_loss_forward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/multilabel_margin_loss_forward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/multilabel_margin_loss_forward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/multilabel_margin_loss_forward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/multilabel_margin_loss_forward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/multilabel_margin_loss_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/multilabel_margin_loss_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/multinomial.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/multinomial_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/multinomial_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/multinomial_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/multinomial_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/multiply.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/multiply_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/multiply_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/multiply_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mv.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mv_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mv_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mv_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mvlgamma.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mvlgamma_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mvlgamma_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mvlgamma_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mvlgamma_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mvlgamma_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nan_to_num.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nan_to_num_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nan_to_num_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nan_to_num_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nan_to_num_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nan_to_num_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nanmean.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nanmean_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nanmean_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nanmean_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nanmedian.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nanmedian_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nanmedian_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nanmedian_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nanmedian_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nanmedian_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nanmedian_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nanquantile.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nanquantile_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nanquantile_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nanquantile_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nansum.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nansum_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nansum_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nansum_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nansum_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/narrow.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/narrow_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/narrow_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/narrow_copy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/narrow_copy_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/narrow_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/narrow_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/narrow_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/narrow_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_batch_norm.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_batch_norm_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_batch_norm_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_batch_norm_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_batch_norm_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_batch_norm_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_batch_norm_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_batch_norm_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_batch_norm_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_batch_norm_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_batch_norm_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_channel_shuffle.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_channel_shuffle_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_channel_shuffle_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_channel_shuffle_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_channel_shuffle_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_dropout.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_dropout_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_dropout_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_dropout_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_dropout_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_dropout_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_dropout_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_dropout_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_dropout_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_dropout_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_dropout_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_dropout_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_group_norm.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_group_norm_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_group_norm_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_group_norm_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_group_norm_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_group_norm_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_group_norm_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_group_norm_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_group_norm_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_group_norm_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_group_norm_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_group_norm_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_layer_norm.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_layer_norm_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_layer_norm_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_layer_norm_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_layer_norm_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_layer_norm_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_layer_norm_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_layer_norm_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_layer_norm_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_layer_norm_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_layer_norm_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_layer_norm_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_norm.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_norm_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_norm_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_norm_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ne.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ne_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ne_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ne_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ne_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ne_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ne_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ne_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/neg.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/neg_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/neg_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/neg_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/neg_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/neg_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/neg_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/neg_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/negative.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/negative_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/negative_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/negative_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nested_to_padded_tensor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nested_to_padded_tensor_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nested_to_padded_tensor_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nested_to_padded_tensor_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/new_empty.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/new_empty_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/new_empty_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/new_empty_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/new_empty_strided.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/new_empty_strided_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/new_empty_strided_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/new_empty_strided_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/new_empty_strided_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/new_full.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/new_full_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/new_full_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rot90.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/new_full_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/new_ones.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/new_ones_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/new_ones_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/new_ones_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/new_zeros.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/new_zeros_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/new_zeros_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/new_zeros_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nextafter.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nextafter_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nextafter_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nextafter_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nextafter_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nextafter_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nextafter_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nextafter_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nll_loss.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nll_loss2d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nll_loss2d_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nll_loss2d_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nll_loss2d_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nll_loss2d_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nll_loss2d_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nll_loss2d_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nll_loss2d_forward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nll_loss2d_forward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nll_loss2d_forward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nll_loss2d_forward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nll_loss2d_forward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nll_loss2d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nll_loss2d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nll_loss_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nll_loss_backward_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nll_loss_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nll_loss_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nll_loss_backward_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nll_loss_backward_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nll_loss_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nll_loss_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nll_loss_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nll_loss_forward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nll_loss_forward_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nll_loss_forward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nll_loss_forward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nll_loss_forward_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nll_loss_forward_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nll_loss_forward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nll_loss_forward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nll_loss_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nll_loss_nd.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nll_loss_nd_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nll_loss_nd_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nll_loss_nd_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nll_loss_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nonzero.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nonzero_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nonzero_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nonzero_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nonzero_numpy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nonzero_numpy_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nonzero_numpy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nonzero_numpy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nonzero_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/norm.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/norm_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/norm_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/norm_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/norm_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/norm_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/norm_except_dim.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/norm_except_dim_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/norm_except_dim_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/norm_except_dim_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/norm_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/norm_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/norm_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/norm_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/normal.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/normal_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/normal_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/normal_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/normal_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/normal_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/normal_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/not_equal.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/not_equal_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/not_equal_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/not_equal_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nuclear_norm.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nuclear_norm_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nuclear_norm_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nuclear_norm_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/numpy_T.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/numpy_T_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/numpy_T_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/numpy_T_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/one_hot.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/one_hot_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/one_hot_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/one_hot_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ones.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ones_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ones_like.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ones_like_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ones_like_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ones_like_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ones_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ones_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/or.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/or_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/or_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/or_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/orgqr.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/orgqr_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/orgqr_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/orgqr_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ormqr.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ormqr_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ormqr_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ormqr_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ormqr_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/outer.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/outer_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/outer_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/outer_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/output_nr.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/output_nr_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/output_nr_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/output_nr_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pad.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pad_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pad_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pad_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pad_sequence.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pad_sequence_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pad_sequence_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pad_sequence_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pairwise_distance.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pairwise_distance_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pairwise_distance_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pairwise_distance_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pdist.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pdist_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pdist_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pdist_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/permute.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/permute_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/permute_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/permute_copy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/permute_copy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/permute_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/permute_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/permute_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/permute_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pin_memory.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pin_memory_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pin_memory_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pin_memory_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pinverse.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pinverse_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pinverse_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pinverse_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pixel_shuffle.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pixel_shuffle_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pixel_shuffle_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pixel_shuffle_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pixel_shuffle_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pixel_shuffle_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pixel_unshuffle.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pixel_unshuffle_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pixel_unshuffle_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pixel_unshuffle_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pixel_unshuffle_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pixel_unshuffle_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/poisson.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/poisson_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/poisson_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/poisson_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/poisson_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/poisson_nll_loss.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/poisson_nll_loss_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/poisson_nll_loss_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/poisson_nll_loss_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/poisson_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/polar.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/polar_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/polar_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/polar_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/polar_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/polar_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/polygamma.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/polygamma_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/polygamma_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/polygamma_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/polygamma_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/polygamma_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/polygamma_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/polygamma_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/polygamma_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/positive.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/positive_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/positive_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/positive_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pow.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pow_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pow_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pow_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pow_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pow_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pow_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pow_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/prelu.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/prelu_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/prelu_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/prelu_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/prod.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/prod_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/prod_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/prod_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/prod_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/prod_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/prod_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/prod_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/prod_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/prod_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/promote_types.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/promote_types_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/promote_types_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/promote_types_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/put.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/put_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/put_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/put_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/put_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/put_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/put_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/q_per_channel_axis.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/q_per_channel_axis_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/q_per_channel_axis_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/q_per_channel_scales.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/q_per_channel_scales_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/q_per_channel_scales_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/q_per_channel_scales_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/q_per_channel_zero_points.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/q_per_channel_zero_points_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/q_per_channel_zero_points_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/q_per_channel_zero_points_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/q_scale.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/q_scale_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/q_scale_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/q_zero_point.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/q_zero_point_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/q_zero_point_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/qr.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/qr_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/qr_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/qr_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/qscheme.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/qscheme_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/qscheme_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantile.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantile_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantile_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantile_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantize_per_channel.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantize_per_channel_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantize_per_channel_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantize_per_channel_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantize_per_channel_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantize_per_channel_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantize_per_tensor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantize_per_tensor_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantize_per_tensor_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantize_per_tensor_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantize_per_tensor_dynamic.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantize_per_tensor_dynamic_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantize_per_tensor_dynamic_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantize_per_tensor_dynamic_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantize_per_tensor_dynamic_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantize_per_tensor_dynamic_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantize_per_tensor_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantize_per_tensor_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantized_batch_norm.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantized_batch_norm_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantized_batch_norm_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantized_batch_norm_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantized_gru_cell.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantized_gru_cell_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantized_gru_cell_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantized_gru_cell_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantized_lstm_cell.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantized_lstm_cell_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantized_lstm_cell_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantized_lstm_cell_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantized_max_pool1d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantized_max_pool1d_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantized_max_pool1d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantized_max_pool1d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantized_max_pool2d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantized_max_pool2d_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantized_max_pool2d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantized_max_pool2d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantized_rnn_relu_cell.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantized_rnn_relu_cell_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantized_rnn_relu_cell_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantized_rnn_relu_cell_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantized_rnn_tanh_cell.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantized_rnn_tanh_cell_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantized_rnn_tanh_cell_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantized_rnn_tanh_cell_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rad2deg.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rad2deg_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rad2deg_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rad2deg_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rand.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rand_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rand_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rand_like.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rand_like_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rand_like_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rand_like_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rand_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rand_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/randint.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/randint_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/randint_like.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/randint_like_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/randint_like_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/randint_like_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/randint_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/randint_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/randn.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/randn_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/randn_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/randn_like.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/randn_like_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/randn_like_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/randn_like_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/randn_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/randn_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/random.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/random_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/random_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/random_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/random_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/random_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/random_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/randperm.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/randperm_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/randperm_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/randperm_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/randperm_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/randperm_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/range.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/range_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/range_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/range_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/range_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/range_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/range_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ravel.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ravel_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ravel_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ravel_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/real.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/real_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/real_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/real_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reciprocal.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reciprocal_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reciprocal_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reciprocal_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reciprocal_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reciprocal_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reciprocal_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reciprocal_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/record_stream.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/record_stream_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/record_stream_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/record_stream_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/refine_names.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/refine_names_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/refine_names_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/refine_names_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad1d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad1d_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad1d_backward_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad1d_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad1d_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad1d_backward_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad1d_backward_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad1d_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad1d_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad1d_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad1d_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad1d_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/roll_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad1d_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad1d_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad1d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad1d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad2d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad2d_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad2d_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad2d_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad2d_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad2d_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad2d_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad2d_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad2d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad2d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad3d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad3d_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad3d_backward_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad3d_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad3d_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad3d_backward_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad3d_backward_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad3d_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad3d_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad3d_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad3d_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad3d_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad3d_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad3d_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad3d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad3d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/relu.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/relu6.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/relu6_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/relu6_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/relu6_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/relu_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/relu_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/relu_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/relu_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/relu_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/relu_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/remainder.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/remainder_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/remainder_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/remainder_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/remainder_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/remainder_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/remainder_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/remainder_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/remainder_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rename.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rename_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rename_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rename_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/renorm.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/renorm_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/renorm_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/renorm_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/renorm_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/renorm_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/renorm_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/renorm_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/repeat.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/repeat_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/repeat_interleave.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/repeat_interleave_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/repeat_interleave_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/repeat_interleave_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/repeat_interleave_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/repeat_interleave_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/repeat_interleave_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/repeat_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/repeat_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad1d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad1d_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad1d_backward_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad1d_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad1d_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad1d_backward_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad1d_backward_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad1d_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad1d_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad1d_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad1d_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad1d_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad1d_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad1d_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad1d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad1d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad2d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad2d_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/roll_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad2d_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad2d_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad2d_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad2d_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad2d_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad2d_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad2d_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad2d_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad2d_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad2d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad2d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad3d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad3d_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad3d_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad3d_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad3d_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad3d_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad3d_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad3d_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad3d_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad3d_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad3d_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad3d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad3d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/requires_grad.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/requires_grad_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/requires_grad_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/requires_grad_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reshape.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reshape_as.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reshape_as_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reshape_as_compositeimplicitautogradnestedtensor_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reshape_as_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reshape_as_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reshape_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reshape_compositeimplicitautogradnestedtensor_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reshape_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reshape_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/resize.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/resize_as.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/resize_as_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/resize_as_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/resize_as_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/resize_as_sparse.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/resize_as_sparse_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/resize_as_sparse_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/resize_as_sparse_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/resize_as_sparse_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/resize_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/resize_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/resize_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/resize_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/resize_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/resize_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/resolve_conj.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/resolve_conj_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/resolve_conj_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/resolve_conj_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/resolve_neg.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/resolve_neg_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/resolve_neg_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/resolve_neg_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/result_type.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/result_type_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/result_type_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/result_type_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/retain_grad.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/retain_grad_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/retain_grad_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/retain_grad_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/retains_grad.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/retains_grad_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/retains_grad_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/retains_grad_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rnn_relu.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rnn_relu_cell.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rnn_relu_cell_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rnn_relu_cell_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rnn_relu_cell_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rnn_relu_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rnn_relu_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rnn_relu_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rnn_tanh.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rnn_tanh_cell.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rnn_tanh_cell_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rnn_tanh_cell_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rnn_tanh_cell_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rnn_tanh_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rnn_tanh_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rnn_tanh_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/roll.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/roll_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/roll_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/roll_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rot90_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rot90_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rot90_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/round.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/round_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/round_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/round_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/round_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/round_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/round_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/round_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/row_indices.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/row_indices_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/row_indices_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/row_indices_copy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/row_indices_copy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/row_indices_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/row_indices_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/row_indices_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/row_indices_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/row_stack.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/row_stack_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/row_stack_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/row_stack_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rrelu.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rrelu_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rrelu_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rrelu_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rrelu_with_noise.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rrelu_with_noise_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rrelu_with_noise_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rrelu_with_noise_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rrelu_with_noise_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rrelu_with_noise_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rrelu_with_noise_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rrelu_with_noise_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rrelu_with_noise_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rrelu_with_noise_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rshift.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rshift_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rshift_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rshift_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rshift_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rshift_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rshift_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rsqrt.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rsqrt_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rsqrt_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rsqrt_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rsqrt_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rsqrt_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rsqrt_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rsqrt_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rsub.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rsub_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rsub_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rsub_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rsub_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rsub_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/scalar_tensor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/scalar_tensor_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/scalar_tensor_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/scalar_tensor_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/scaled_dot_product_attention.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/scaled_dot_product_attention_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/scaled_dot_product_attention_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/scaled_dot_product_attention_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/scatter.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/scatter_add.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/scatter_add_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/scatter_add_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/scatter_add_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/scatter_add_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/scatter_add_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/scatter_add_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/scatter_add_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/scatter_add_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/scatter_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/scatter_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/scatter_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/scatter_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/scatter_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/scatter_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/scatter_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/scatter_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/scatter_reduce.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/scatter_reduce_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/scatter_reduce_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/scatter_reduce_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/scatter_reduce_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/scatter_reduce_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/scatter_reduce_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/scatter_reduce_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/searchsorted.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/searchsorted_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/searchsorted_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/searchsorted_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/searchsorted_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/searchsorted_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/segment_reduce.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/segment_reduce_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/segment_reduce_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/segment_reduce_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/segment_reduce_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/segment_reduce_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/select.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/select_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/select_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/select_backward_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/select_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/select_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/select_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/select_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/select_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/select_copy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/select_copy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/select_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/select_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/select_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/select_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/select_scatter.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/select_scatter_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/select_scatter_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/select_scatter_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/selu.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/selu_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/selu_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/selu_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/set.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/set_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/set_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/set_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/set_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/set_data.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/set_data_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/set_data_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/set_data_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/set_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/set_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/set_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sgn.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sgn_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sgn_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sgn_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sgn_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sgn_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sgn_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sgn_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sigmoid.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sigmoid_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sigmoid_backward_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sigmoid_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sigmoid_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sigmoid_backward_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sigmoid_backward_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sigmoid_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sigmoid_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sigmoid_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sigmoid_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sigmoid_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sigmoid_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sigmoid_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sigmoid_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sigmoid_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sign.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sign_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sign_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sign_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sign_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sign_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sign_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sign_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/signbit.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/signbit_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/signbit_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/signbit_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/signbit_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/signbit_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/signbit_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/signbit_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/silu.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/silu_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/silu_backward_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/silu_backward_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/silu_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/silu_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/silu_backward_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/silu_backward_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/silu_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/silu_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/silu_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/silu_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/silu_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/silu_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/silu_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/silu_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/silu_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sin.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sin_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sin_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sin_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sin_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sin_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sin_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sin_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sinc.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sinc_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sinc_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sinc_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sinc_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sinc_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sinc_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sinc_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sinh.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sinh_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sinh_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sinh_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sinh_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sinh_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sinh_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sinh_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/size.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/size_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/size_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/size_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slice.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slice_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slice_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slice_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slice_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slice_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slice_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slice_copy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slice_copy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slice_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slice_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slice_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slice_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slice_scatter.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slice_scatter_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slice_scatter_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slice_scatter_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slogdet.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slogdet_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slogdet_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slogdet_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slow_conv3d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slow_conv3d_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slow_conv3d_forward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slow_conv3d_forward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slow_conv3d_forward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slow_conv3d_forward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slow_conv3d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slow_conv3d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slow_conv_dilated2d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slow_conv_dilated2d_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slow_conv_dilated2d_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slow_conv_dilated2d_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slow_conv_dilated2d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slow_conv_dilated2d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slow_conv_dilated3d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slow_conv_dilated3d_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slow_conv_dilated3d_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slow_conv_dilated3d_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slow_conv_dilated3d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slow_conv_dilated3d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slow_conv_transpose2d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slow_conv_transpose2d_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slow_conv_transpose2d_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slow_conv_transpose2d_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slow_conv_transpose2d_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slow_conv_transpose2d_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slow_conv_transpose2d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slow_conv_transpose2d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slow_conv_transpose3d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slow_conv_transpose3d_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slow_conv_transpose3d_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slow_conv_transpose3d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slow_conv_transpose3d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/smm.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/smm_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/smm_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/smm_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/smooth_l1_loss.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/smooth_l1_loss_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/smooth_l1_loss_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/smooth_l1_loss_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/smooth_l1_loss_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/smooth_l1_loss_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/smooth_l1_loss_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/smooth_l1_loss_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/smooth_l1_loss_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/smooth_l1_loss_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/smooth_l1_loss_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/smooth_l1_loss_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/smooth_l1_loss_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/smooth_l1_loss_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/soft_margin_loss.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/soft_margin_loss_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/soft_margin_loss_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/soft_margin_loss_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/soft_margin_loss_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/soft_margin_loss_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/soft_margin_loss_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/soft_margin_loss_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/softmax.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/softmax_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/softmax_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/softmax_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/softmax_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/softplus.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/softplus_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/softplus_backward_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/softplus_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/softplus_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/softplus_backward_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/softplus_backward_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/softplus_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/softplus_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/softplus_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/softplus_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/softplus_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/softplus_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/softplus_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/softplus_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/softplus_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/softshrink.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/softshrink_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/softshrink_backward_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/softshrink_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/softshrink_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/softshrink_backward_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/softshrink_backward_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/softshrink_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/softshrink_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/softshrink_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/softshrink_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/softshrink_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/softshrink_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/softshrink_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/softshrink_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/softshrink_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sort.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sort_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sort_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sort_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sort_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sort_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sort_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sort_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sort_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sort_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_bsc_tensor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_bsc_tensor_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_bsc_tensor_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_bsc_tensor_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_bsr_tensor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_bsr_tensor_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_bsr_tensor_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_bsr_tensor_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_compressed_tensor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_compressed_tensor_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_compressed_tensor_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_compressed_tensor_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_coo_tensor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_coo_tensor_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_coo_tensor_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_coo_tensor_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_coo_tensor_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_csc_tensor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_csc_tensor_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_csc_tensor_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_csc_tensor_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_csr_tensor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_csr_tensor_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_csr_tensor_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_csr_tensor_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_dim.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_dim_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_dim_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_dim_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_dim_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_mask.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_mask_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_mask_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_mask_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_resize.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_resize_and_clear.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_resize_and_clear_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_resize_and_clear_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_resize_and_clear_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_resize_and_clear_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_resize_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_resize_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_resize_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_resize_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_sampled_addmm.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_sampled_addmm_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_sampled_addmm_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_airy_ai.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_airy_ai_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_airy_ai_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_airy_ai_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_airy_ai_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_airy_ai_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_airy_ai_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_airy_ai_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_bessel_j0.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_bessel_j0_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_bessel_j0_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_bessel_j0_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_bessel_j0_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_bessel_j0_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_bessel_j0_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_bessel_j0_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_bessel_j1.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_bessel_j1_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_bessel_j1_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_bessel_j1_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_bessel_j1_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_bessel_j1_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_bessel_j1_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_bessel_j1_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_bessel_y0.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_bessel_y0_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_bessel_y0_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_bessel_y0_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_bessel_y0_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_bessel_y0_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_bessel_y0_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_bessel_y0_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_bessel_y1.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_bessel_y1_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_bessel_y1_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_bessel_y1_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_bessel_y1_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_bessel_y1_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_bessel_y1_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_bessel_y1_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_t.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_t_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_t_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_t_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_t_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_t_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_t_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_t_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_t_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_t_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_u.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_u_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_u_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_u_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_u_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_u_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_u_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_u_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_u_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_u_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_v.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_v_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_v_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_v_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_v_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_v_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_v_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_v_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_v_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_v_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_w.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_w_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_w_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_w_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_w_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_w_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_w_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_w_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_w_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_w_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_digamma.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_digamma_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_digamma_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_digamma_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_entr.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_entr_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_entr_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_entr_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_entr_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_entr_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_entr_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_entr_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_erf.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_erf_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_erf_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_erf_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_erfc.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_erfc_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_erfc_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_erfc_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_erfcx.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_erfcx_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_erfcx_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_erfcx_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_erfcx_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_erfcx_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_erfcx_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_erfcx_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_erfinv.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_erfinv_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_erfinv_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_erfinv_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_exp2.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_exp2_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_exp2_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_exp2_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_expit.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_expit_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_expit_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_expit_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_expm1.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_expm1_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_expm1_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_expm1_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_gammainc.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_gammainc_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_gammainc_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_gammainc_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_gammaincc.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_gammaincc_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_gammaincc_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_gammaincc_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_gammaln.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_gammaln_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_gammaln_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_gammaln_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_hermite_polynomial_h.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_hermite_polynomial_h_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_hermite_polynomial_h_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_hermite_polynomial_h_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_hermite_polynomial_h_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_hermite_polynomial_h_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_hermite_polynomial_h_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_hermite_polynomial_h_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_hermite_polynomial_h_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_hermite_polynomial_h_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_hermite_polynomial_he.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_hermite_polynomial_he_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_hermite_polynomial_he_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_hermite_polynomial_he_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_hermite_polynomial_he_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_hermite_polynomial_he_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_hermite_polynomial_he_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_hermite_polynomial_he_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_hermite_polynomial_he_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_hermite_polynomial_he_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_i0.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_i0_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_i0_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_i0_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_i0e.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_i0e_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_i0e_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_i0e_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_i0e_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_i0e_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_i0e_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_i0e_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_i1.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_i1_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_i1_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_i1_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_i1_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_i1_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_i1_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_i1_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_i1e.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_i1e_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_i1e_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_i1e_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_i1e_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_i1e_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_i1e_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_i1e_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_laguerre_polynomial_l.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_laguerre_polynomial_l_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_laguerre_polynomial_l_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_laguerre_polynomial_l_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_laguerre_polynomial_l_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_laguerre_polynomial_l_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_laguerre_polynomial_l_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_laguerre_polynomial_l_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_laguerre_polynomial_l_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_laguerre_polynomial_l_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_legendre_polynomial_p.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_legendre_polynomial_p_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_legendre_polynomial_p_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_legendre_polynomial_p_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_legendre_polynomial_p_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_legendre_polynomial_p_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_legendre_polynomial_p_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_legendre_polynomial_p_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_legendre_polynomial_p_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_legendre_polynomial_p_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_log1p.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_log1p_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_log1p_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_log1p_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_log_ndtr.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_log_ndtr_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_log_ndtr_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_log_ndtr_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_log_ndtr_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_log_ndtr_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_log_ndtr_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_log_ndtr_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_log_softmax.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_log_softmax_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_log_softmax_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_log_softmax_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_logit.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_logit_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_logit_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_logit_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_logsumexp.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_logsumexp_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_logsumexp_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_logsumexp_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_modified_bessel_i0.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_modified_bessel_i0_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_modified_bessel_i0_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_modified_bessel_i0_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_modified_bessel_i0_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_modified_bessel_i0_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_modified_bessel_i0_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_modified_bessel_i0_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_modified_bessel_i1.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_modified_bessel_i1_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_modified_bessel_i1_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_modified_bessel_i1_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_modified_bessel_i1_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_modified_bessel_i1_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_modified_bessel_i1_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_modified_bessel_i1_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_modified_bessel_k0.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_modified_bessel_k0_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_modified_bessel_k0_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_modified_bessel_k0_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_modified_bessel_k0_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_modified_bessel_k0_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_modified_bessel_k0_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_modified_bessel_k0_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_modified_bessel_k1.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_modified_bessel_k1_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_modified_bessel_k1_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_modified_bessel_k1_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_modified_bessel_k1_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_modified_bessel_k1_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_modified_bessel_k1_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_modified_bessel_k1_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_multigammaln.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_multigammaln_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_multigammaln_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_multigammaln_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_ndtr.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_ndtr_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_ndtr_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_ndtr_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_ndtri.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_ndtri_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_ndtri_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_ndtri_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_ndtri_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_ndtri_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_ndtri_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_ndtri_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_polygamma.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_polygamma_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_polygamma_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_polygamma_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_psi.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_psi_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_psi_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_psi_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_round.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_round_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_round_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_round_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_scaled_modified_bessel_k0.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_scaled_modified_bessel_k0_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_scaled_modified_bessel_k0_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_scaled_modified_bessel_k0_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_scaled_modified_bessel_k0_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_scaled_modified_bessel_k0_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_scaled_modified_bessel_k0_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_scaled_modified_bessel_k0_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_scaled_modified_bessel_k1.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_scaled_modified_bessel_k1_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_scaled_modified_bessel_k1_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_scaled_modified_bessel_k1_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sub_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_scaled_modified_bessel_k1_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_scaled_modified_bessel_k1_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_scaled_modified_bessel_k1_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_scaled_modified_bessel_k1_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_t.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_t_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_t_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_t_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_t_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_t_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_t_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_t_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_t_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_t_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_u.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_u_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_u_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_u_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_u_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_u_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_u_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_u_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_u_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_u_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_v.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_v_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_v_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_v_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_v_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_v_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_v_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_v_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_v_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_v_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_w.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_w_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_w_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_w_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_w_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_w_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_w_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_w_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_w_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_w_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_sinc.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_sinc_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_sinc_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_sinc_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_softmax.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_softmax_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_softmax_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_softmax_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_spherical_bessel_j0.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_spherical_bessel_j0_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_spherical_bessel_j0_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_spherical_bessel_j0_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_spherical_bessel_j0_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_spherical_bessel_j0_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_spherical_bessel_j0_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_spherical_bessel_j0_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_xlog1py.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sub_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_xlog1py_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_xlog1py_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_xlog1py_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_xlog1py_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_xlog1py_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_xlog1py_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_xlog1py_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_xlog1py_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_xlogy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_xlogy_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_xlogy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_xlogy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_zeta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_zeta_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_zeta_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_zeta_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_zeta_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_zeta_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_zeta_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_zeta_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_zeta_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/split.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/split_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/split_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/split_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/split_copy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/split_copy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/split_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/split_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/split_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/split_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/split_with_sizes.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/split_with_sizes_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/split_with_sizes_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/split_with_sizes_copy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/split_with_sizes_copy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/split_with_sizes_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/split_with_sizes_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/split_with_sizes_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/split_with_sizes_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sqrt.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sqrt_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sqrt_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sqrt_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sqrt_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sqrt_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sqrt_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sqrt_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/square.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/square_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/square_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/square_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/squeeze.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/squeeze_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/squeeze_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/squeeze_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/squeeze_copy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/squeeze_copy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/squeeze_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/squeeze_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/squeeze_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/squeeze_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sspaddmm.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sspaddmm_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sspaddmm_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sspaddmm_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sspaddmm_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sspaddmm_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/stack.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/stack_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/stack_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/stack_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/std.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/std_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/std_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/std_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/std_mean.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/std_mean_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/std_mean_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/std_mean_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/std_mean_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/std_mean_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/std_mean_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/std_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/std_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/stft.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/stft_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/stft_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/stft_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/stride.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/stride_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/stride_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/stride_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sub.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sub_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sub_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sub_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sub_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sub_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sub_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/subtract.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/subtract_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/subtract_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/subtract_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sum.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sum_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sum_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sum_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sum_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sum_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sum_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sum_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sum_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sum_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sum_to_size.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sum_to_size_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sum_to_size_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sum_to_size_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/svd.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/svd_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/svd_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/svd_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/swapaxes.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/swapaxes_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/swapaxes_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/swapaxes_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/swapdims.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/swapdims_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/swapdims_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/swapdims_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/t.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/t_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/t_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/t_copy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/t_copy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/t_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/t_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/t_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/t_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/take.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/take_along_dim.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/take_along_dim_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/take_along_dim_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/take_along_dim_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/take_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/take_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/take_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/take_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tan.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tan_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tan_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tan_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tan_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tan_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tan_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tan_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tanh.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tanh_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tanh_backward_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tanh_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tanh_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tanh_backward_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tanh_backward_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tanh_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tanh_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tanh_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tanh_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tanh_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tanh_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tanh_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tanh_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tanh_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tensor_split.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tensor_split_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tensor_split_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tensor_split_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tensordot.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tensordot_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tensordot_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tensordot_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tensordot_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tensordot_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/thnn_conv2d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/thnn_conv2d_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/thnn_conv2d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/thnn_conv2d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/threshold.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/threshold_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/threshold_backward_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/threshold_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/threshold_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/threshold_backward_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/threshold_backward_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/threshold_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/threshold_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/threshold_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/threshold_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/threshold_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/threshold_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/threshold_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/threshold_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/threshold_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tile.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/zero_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tile_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tile_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tile_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_dense.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_dense_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_dense_backward_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_dense_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_dense_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_dense_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_dense_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_dense_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_mkldnn.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_mkldnn_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_mkldnn_backward_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_mkldnn_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_mkldnn_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_mkldnn_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_mkldnn_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_mkldnn_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_mkldnn_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_padded_tensor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_padded_tensor_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_padded_tensor_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_padded_tensor_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_sparse.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_sparse_bsc.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_sparse_bsc_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_sparse_bsc_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_sparse_bsc_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_sparse_bsc_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_sparse_bsc_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_sparse_bsr.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_sparse_bsr_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_sparse_bsr_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_sparse_bsr_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_sparse_bsr_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_sparse_bsr_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_sparse_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_sparse_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_sparse_csc.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_sparse_csc_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_sparse_csc_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_sparse_csc_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_sparse_csc_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_sparse_csc_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_sparse_csr.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_sparse_csr_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_sparse_csr_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_sparse_csr_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_sparse_csr_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_sparse_csr_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_sparse_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_sparse_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_sparse_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/topk.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/topk_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/topk_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/topk_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/topk_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/topk_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/topk_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/topk_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/trace.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/trace_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/trace_backward_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/trace_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/trace_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/trace_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/trace_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/trace_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/trace_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/trace_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/transpose.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/transpose_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/transpose_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/transpose_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/transpose_copy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/transpose_copy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/transpose_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/transpose_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/transpose_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/transpose_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/trapezoid.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/trapezoid_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/trapezoid_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/trapezoid_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/trapz.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/trapz_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/trapz_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/trapz_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/triangular_solve.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/triangular_solve_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/triangular_solve_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/triangular_solve_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/triangular_solve_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/triangular_solve_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/triangular_solve_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/triangular_solve_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tril.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tril_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tril_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tril_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tril_indices.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tril_indices_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tril_indices_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tril_indices_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tril_indices_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tril_indices_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tril_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tril_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tril_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tril_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/triplet_margin_loss.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/triplet_margin_loss_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/triplet_margin_loss_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/triplet_margin_loss_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/triu.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/triu_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/triu_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/triu_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/triu_indices.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/triu_indices_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/triu_indices_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/triu_indices_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/triu_indices_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/triu_indices_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/triu_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/triu_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/triu_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/triu_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/true_divide.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/true_divide_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/true_divide_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/true_divide_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/trunc.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/trunc_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/trunc_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/trunc_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/trunc_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/trunc_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/trunc_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/trunc_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/type_as.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/type_as_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/type_as_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/type_as_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unbind.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unbind_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unbind_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unbind_compositeimplicitautogradnestedtensor_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unbind_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unbind_copy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unbind_copy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unbind_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unbind_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unbind_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unbind_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unflatten.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unflatten_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unflatten_dense_tensors.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unflatten_dense_tensors_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unflatten_dense_tensors_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unflatten_dense_tensors_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unflatten_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unflatten_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unfold.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unfold_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unfold_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unfold_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unfold_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unfold_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unfold_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unfold_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unfold_copy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unfold_copy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unfold_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unfold_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unfold_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unfold_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unfold_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unfold_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unfold_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/uniform.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/uniform_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/uniform_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/uniform_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/uniform_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/uniform_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/uniform_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unique_consecutive.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unique_consecutive_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unique_consecutive_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unique_consecutive_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unique_consecutive_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unique_consecutive_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unique_dim.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unique_dim_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unique_dim_consecutive.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unique_dim_consecutive_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unique_dim_consecutive_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unique_dim_consecutive_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unique_dim_consecutive_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unique_dim_consecutive_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unique_dim_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unique_dim_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unique_dim_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unique_dim_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unsafe_chunk.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unsafe_chunk_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unsafe_chunk_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unsafe_chunk_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unsafe_split.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unsafe_split_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unsafe_split_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unsafe_split_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unsafe_split_with_sizes.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unsafe_split_with_sizes_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unsafe_split_with_sizes_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unsafe_split_with_sizes_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unsqueeze.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unsqueeze_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unsqueeze_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unsqueeze_copy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unsqueeze_copy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unsqueeze_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unsqueeze_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unsqueeze_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unsqueeze_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_bicubic2d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_bicubic2d_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_bicubic2d_backward_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_bicubic2d_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_bicubic2d_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_bicubic2d_backward_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_bicubic2d_backward_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_bicubic2d_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_bicubic2d_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_bicubic2d_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_bicubic2d_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_bicubic2d_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_bicubic2d_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_bicubic2d_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_bicubic2d_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_bicubic2d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_bicubic2d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_bilinear2d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_bilinear2d_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_bilinear2d_backward_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_bilinear2d_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_bilinear2d_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_bilinear2d_backward_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_bilinear2d_backward_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_bilinear2d_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_bilinear2d_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_bilinear2d_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_bilinear2d_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_bilinear2d_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_bilinear2d_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_bilinear2d_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_bilinear2d_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_bilinear2d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_bilinear2d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_linear1d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_linear1d_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_linear1d_backward_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_linear1d_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_linear1d_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_linear1d_backward_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_linear1d_backward_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_linear1d_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_linear1d_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_linear1d_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_linear1d_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_linear1d_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_linear1d_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_linear1d_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_linear1d_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_linear1d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_linear1d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest1d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest1d_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest1d_backward_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest1d_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest1d_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest1d_backward_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest1d_backward_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest1d_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest1d_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest1d_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest1d_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest1d_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest1d_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest1d_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest1d_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest1d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest1d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest2d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest2d_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest2d_backward_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest2d_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest2d_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest2d_backward_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest2d_backward_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest2d_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest2d_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest2d_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest2d_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest2d_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest2d_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest2d_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest2d_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest2d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest2d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest3d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest3d_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest3d_backward_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest3d_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest3d_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest3d_backward_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest3d_backward_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest3d_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest3d_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest3d_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest3d_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest3d_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest3d_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest3d_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest3d_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest3d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest3d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_trilinear3d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_trilinear3d_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_trilinear3d_backward_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_trilinear3d_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_trilinear3d_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_trilinear3d_backward_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_trilinear3d_backward_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_trilinear3d_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_trilinear3d_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_trilinear3d_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_trilinear3d_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_trilinear3d_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_trilinear3d_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_trilinear3d_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_trilinear3d_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_trilinear3d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_trilinear3d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/value_selecting_reduction_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/value_selecting_reduction_backward_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/value_selecting_reduction_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/value_selecting_reduction_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/values.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/values_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/values_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/values_copy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/values_copy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/values_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/values_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/values_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/values_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/vander.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/vander_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/vander_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/vander_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/var.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/var_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/var_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/var_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/var_mean.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/var_mean_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/var_mean_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/var_mean_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/var_mean_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/var_mean_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/var_mean_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/var_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/var_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/vdot.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/vdot_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/vdot_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/vdot_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/vdot_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/vdot_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/view.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/view_as.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/view_as_complex.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/view_as_complex_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/view_as_complex_copy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/view_as_complex_copy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/view_as_complex_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/view_as_complex_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/view_as_complex_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/view_as_complex_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/view_as_complex_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/view_as_complex_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/view_as_complex_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/view_as_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/view_as_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/view_as_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/view_as_real.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/view_as_real_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/view_as_real_copy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/view_as_real_copy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/view_as_real_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/view_as_real_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/view_as_real_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/view_as_real_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/view_as_real_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/view_as_real_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/view_as_real_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/view_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/view_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/view_copy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/view_copy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/view_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/view_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/view_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/view_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/view_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/view_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/view_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/vsplit.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/vsplit_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/vsplit_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/vsplit_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/vstack.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/vstack_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/vstack_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/vstack_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/where.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/where_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/where_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/where_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/where_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/where_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/xlogy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/xlogy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/xlogy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/xlogy_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/xlogy_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/xlogy_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/xlogy_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/xlogy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/xlogy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/xor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/xor_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/xor_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/xor_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/zero.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/zero_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/zero_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/zero_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/zero_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/zero_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/zeros.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/zeros_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/zeros_like.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/zeros_like_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/zeros_like_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/zeros_like_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/zeros_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/zeros_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops creating build/lib.linux-x86_64-cpython-310/torch/include/ATen/hip creating build/lib.linux-x86_64-cpython-310/torch/include/ATen/hip/impl copying torch/include/ATen/hip/impl/HIPAllocatorMasqueradingAsCUDA.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/hip/impl copying torch/include/ATen/hip/impl/HIPCachingAllocatorMasqueradingAsCUDA.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/hip/impl copying torch/include/ATen/hip/impl/HIPGuardImplMasqueradingAsCUDA.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/hip/impl copying torch/include/ATen/hip/impl/HIPStreamMasqueradingAsCUDA.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/hip/impl creating build/lib.linux-x86_64-cpython-310/torch/include/ATen/miopen copying torch/include/ATen/miopen/Descriptors.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/miopen copying torch/include/ATen/miopen/Exceptions.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/miopen copying torch/include/ATen/miopen/Handle.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/miopen copying torch/include/ATen/miopen/Types.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/miopen copying torch/include/ATen/miopen/Utils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/miopen copying torch/include/ATen/miopen/miopen-wrapper.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/miopen creating build/lib.linux-x86_64-cpython-310/torch/include/ATen/detail copying torch/include/ATen/detail/CUDAHooksInterface.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/detail copying torch/include/ATen/detail/FunctionTraits.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/detail copying torch/include/ATen/detail/HIPHooksInterface.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/detail copying torch/include/ATen/detail/MPSHooksInterface.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/detail copying torch/include/ATen/detail/ORTHooksInterface.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/detail creating build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/Activation.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/AdaptivePooling.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/BatchLinearAlgebra.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/BinaryOps.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/BucketizationUtils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/CPUBlas.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/CPUFallback.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/CanUse32BitIndexMath.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/ComplexHelper.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/CompositeRandomAccessor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/CompositeRandomAccessorCommon.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/ConvUtils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/ConvolutionMM3d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/Copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/Cross.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/DilatedConvolutionUtils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/DispatchStub.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/Distance.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/DistributionTemplates.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/Distributions.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/EmbeddingBag.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/Fill.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/ForeachUtils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/FractionalMaxPooling.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/FunctionOfAMatrixUtils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/GridSampler.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/GridSamplerUtils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/Histogram.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/IndexKernel.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/IndexingUtils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/Lerp.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/LinearAlgebra.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/LinearAlgebraUtils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/LossMulti.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/Math.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/MathBitFallThroughLists.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/MathBitsFallback.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/MaxPooling.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/NonEmptyUtils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/NonSymbolicBC.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/Normalization.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/PointwiseOps.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/Pool.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/Pow.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/RNN.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/RangeFactories.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/ReduceAllOps.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/ReduceOps.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/ReduceOpsUtils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/ReductionType.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/Repeat.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/Resize.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/ResizeCommon.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/ScatterGatherChecks.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/SegmentReduce.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/SharedReduceOps.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/SobolEngineOpsUtils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/Sorting.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/SortingUtils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/SpectralOpsUtils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/StridedRandomAccessor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/TensorAdvancedIndexing.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/TensorAdvancedIndexingUtils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/TensorCompare.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/TensorConversions.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/TensorDimApply.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/TensorFactories.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/TensorIterator.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/TensorIteratorDynamicCasting.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/TensorProperties.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/TensorShape.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/TensorTransformations.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/TopKImpl.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/TransposeType.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/TriangularOpsUtils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/TypeProperties.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/UnaryOps.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/Unfold2d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/Unfold3d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/UnfoldBackward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/UpSample.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/batch_norm.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/group_norm.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/im2col.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/im2col_shape_check.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/layer_norm.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/verbose_wrapper.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/vol2col.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native creating build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu copying torch/include/ATen/native/cpu/AtomicAddFloat.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu copying torch/include/ATen/native/cpu/CatKernel.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu copying torch/include/ATen/native/cpu/ChannelShuffleKernel.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu copying torch/include/ATen/native/cpu/CopyKernel.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu copying torch/include/ATen/native/cpu/DepthwiseConvKernel.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu copying torch/include/ATen/native/cpu/DistributionTemplates.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu copying torch/include/ATen/native/cpu/GridSamplerKernel.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu copying torch/include/ATen/native/cpu/IndexKernelUtils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu copying torch/include/ATen/native/cpu/Intrinsics.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu copying torch/include/ATen/native/cpu/IsContiguous.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu copying torch/include/ATen/native/cpu/Loops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu copying torch/include/ATen/native/cpu/MaxUnpoolKernel.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu copying torch/include/ATen/native/cpu/PixelShuffleKernel.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu copying torch/include/ATen/native/cpu/Reduce.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu copying torch/include/ATen/native/cpu/ReduceUtils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu copying torch/include/ATen/native/cpu/SampledAddmmKernel.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu copying torch/include/ATen/native/cpu/SerialStackImpl.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu copying torch/include/ATen/native/cpu/SoftmaxKernel.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu copying torch/include/ATen/native/cpu/SpmmReduceKernel.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu copying torch/include/ATen/native/cpu/StackKernel.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu copying torch/include/ATen/native/cpu/UpSampleKernelAVXAntialias.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu copying torch/include/ATen/native/cpu/WeightNormKernel.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu copying torch/include/ATen/native/cpu/avx_mathfun.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu copying torch/include/ATen/native/cpu/mixed_data_type.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu copying torch/include/ATen/native/cpu/moments_utils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu copying torch/include/ATen/native/cpu/radix_sort.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu copying torch/include/ATen/native/cpu/utils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu copying torch/include/ATen/native/cpu/zmath.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu creating build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/Activation.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/BinaryInternal.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/CompositeRandomAccessor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/Copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/CuFFTPlanCache.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/CuFFTUtils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/DistributionTemplates.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/Distributions.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/GridSampler.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/IndexKernel.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/LaunchUtils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/MiscUtils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/ReduceOps.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/Resize.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/ScanKernels.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/Sort.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/SortStable.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/Sorting.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/TensorModeKernel.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/TensorTopK.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/jit_utils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/thread_constants.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/CUDAJitLoops.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/CUDALoops.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/DeviceSqrt.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/EmbeddingBackwardKernel.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/ForeachFunctors.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/ForeachMinMaxFunctors.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/GridSampler.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/JitLoops.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/KernelUtils.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/Loops.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/Math.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/MemoryAccess.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/MultiTensorApply.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/Normalization.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/PersistentSoftmax.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/Pow.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/ROCmLoops.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/Randperm.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/Reduce.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/ScanUtils.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/SortUtils.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/SortingCommon.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/SortingRadixSelect.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/TensorModeKernel.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/UniqueCub.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/UpSample.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/block_reduce.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/fused_adam_amsgrad_impl.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/fused_adam_impl.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/fused_adam_utils.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/fused_adamw_amsgrad_impl.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/fused_adamw_impl.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/im2col.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/reduction_template.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/vol2col.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda creating build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized copying torch/include/ATen/native/quantized/AffineQuantizer.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized copying torch/include/ATen/native/quantized/AffineQuantizerBase.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized copying torch/include/ATen/native/quantized/Copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized copying torch/include/ATen/native/quantized/FakeQuantAffine.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized copying torch/include/ATen/native/quantized/IndexKernel.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized copying torch/include/ATen/native/quantized/PackedParams.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized creating build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized/cpu copying torch/include/ATen/native/quantized/cpu/BinaryOps.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized/cpu copying torch/include/ATen/native/quantized/cpu/EmbeddingPackedParams.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized/cpu copying torch/include/ATen/native/quantized/cpu/OnednnUtils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized/cpu copying torch/include/ATen/native/quantized/cpu/QnnpackUtils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized/cpu copying torch/include/ATen/native/quantized/cpu/QuantUtils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized/cpu copying torch/include/ATen/native/quantized/cpu/QuantizedOps.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized/cpu copying torch/include/ATen/native/quantized/cpu/RuyUtils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized/cpu copying torch/include/ATen/native/quantized/cpu/XnnpackUtils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized/cpu copying torch/include/ATen/native/quantized/cpu/conv_serialization.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized/cpu copying torch/include/ATen/native/quantized/cpu/fbgemm_utils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized/cpu copying torch/include/ATen/native/quantized/cpu/init_qnnpack.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized/cpu copying torch/include/ATen/native/quantized/cpu/qembeddingbag.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized/cpu copying torch/include/ATen/native/quantized/cpu/qembeddingbag_prepack.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized/cpu creating build/lib.linux-x86_64-cpython-310/torch/include/ATen/quantized copying torch/include/ATen/quantized/QTensorImpl.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/quantized copying torch/include/ATen/quantized/Quantizer.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/quantized creating build/lib.linux-x86_64-cpython-310/torch/include/caffe2 creating build/lib.linux-x86_64-cpython-310/torch/include/caffe2/serialize copying torch/include/caffe2/serialize/istream_adapter.h -> build/lib.linux-x86_64-cpython-310/torch/include/caffe2/serialize copying torch/include/caffe2/serialize/versions.h -> build/lib.linux-x86_64-cpython-310/torch/include/caffe2/serialize copying torch/include/caffe2/serialize/in_memory_adapter.h -> build/lib.linux-x86_64-cpython-310/torch/include/caffe2/serialize copying torch/include/caffe2/serialize/file_adapter.h -> build/lib.linux-x86_64-cpython-310/torch/include/caffe2/serialize copying torch/include/caffe2/serialize/inline_container.h -> build/lib.linux-x86_64-cpython-310/torch/include/caffe2/serialize copying torch/include/caffe2/serialize/crc_alt.h -> build/lib.linux-x86_64-cpython-310/torch/include/caffe2/serialize copying torch/include/caffe2/serialize/read_adapter_interface.h -> build/lib.linux-x86_64-cpython-310/torch/include/caffe2/serialize creating build/lib.linux-x86_64-cpython-310/torch/include/c10 creating build/lib.linux-x86_64-cpython-310/torch/include/c10/macros copying torch/include/c10/macros/Export.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/macros copying torch/include/c10/macros/Macros.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/macros copying torch/include/c10/macros/cmake_macros.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/macros creating build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/SymIntArrayRef.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/CopyBytes.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/TensorOptions.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/DefaultDtype.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/MemoryFormat.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/OptionalRef.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/Stream.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/Device.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/StorageImpl.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/thread_pool.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/Layout.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/alignment.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/SymFloat.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/Storage.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/WrapDimMinimal.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/CompileTimeFunctionPointer.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/ScalarType.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/DefaultTensorOptions.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/DeviceType.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/Event.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/DynamicCast.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/DispatchKeySet.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/StreamGuard.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/DeviceGuard.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/SymNodeImpl.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/ScalarTypeToTypeMeta.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/DeviceArray.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/Allocator.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/GeneratorImpl.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/SymBool.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/TensorImpl.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/Backend.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/QScheme.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/DispatchKey.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/SymInt.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/UndefinedTensorImpl.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/SafePyObject.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/AutogradState.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/QEngine.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/CPUAllocator.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/GradMode.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/Scalar.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/PyHandleCache.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/InferenceMode.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core creating build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/boxing copying torch/include/ATen/core/boxing/BoxedKernel.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/boxing copying torch/include/ATen/core/boxing/BoxedKernel_impl.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/boxing copying torch/include/ATen/core/boxing/KernelFunction.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/boxing copying torch/include/ATen/core/boxing/KernelFunction_impl.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/boxing copying torch/include/ATen/core/boxing/OperatorKernel.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/boxing creating build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/boxing/impl copying torch/include/ATen/core/boxing/impl/WrapFunctionIntoFunctor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/boxing/impl copying torch/include/ATen/core/boxing/impl/WrapFunctionIntoRuntimeFunctor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/boxing/impl copying torch/include/ATen/core/boxing/impl/boxing.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/boxing/impl copying torch/include/ATen/core/boxing/impl/make_boxed_from_unboxed_functor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/boxing/impl copying torch/include/ATen/core/boxing/impl/test_helpers.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/boxing/impl creating build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/dispatch copying torch/include/ATen/core/dispatch/CppSignature.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/dispatch copying torch/include/ATen/core/dispatch/DispatchKeyExtractor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/dispatch copying torch/include/ATen/core/dispatch/Dispatcher.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/dispatch copying torch/include/ATen/core/dispatch/ObservedOperators.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/dispatch copying torch/include/ATen/core/dispatch/OperatorEntry.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/dispatch copying torch/include/ATen/core/dispatch/OperatorOptions.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/dispatch copying torch/include/ATen/core/dispatch/RegistrationHandleRAII.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/dispatch creating build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/op_registration copying torch/include/ATen/core/op_registration/adaption.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/op_registration copying torch/include/ATen/core/op_registration/infer_schema.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/op_registration copying torch/include/ATen/core/op_registration/op_allowlist.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/op_registration copying torch/include/ATen/core/op_registration/op_registration.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/op_registration creating build/lib.linux-x86_64-cpython-310/torch/include/c10/core/impl copying torch/include/c10/core/impl/DeviceGuardImplInterface.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core/impl copying torch/include/c10/core/impl/GPUTrace.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core/impl copying torch/include/c10/core/impl/InlineEvent.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core/impl copying torch/include/c10/core/impl/PythonDispatcherTLS.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core/impl copying torch/include/c10/core/impl/PyInterpreter.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core/impl copying torch/include/c10/core/impl/LocalDispatchKeySet.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core/impl copying torch/include/c10/core/impl/VirtualGuardImpl.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core/impl copying torch/include/c10/core/impl/HermeticPyObjectTLS.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core/impl copying torch/include/c10/core/impl/TorchDispatchModeTLS.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core/impl copying torch/include/c10/core/impl/PyObjectSlot.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core/impl copying torch/include/c10/core/impl/FakeGuardImpl.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core/impl copying torch/include/c10/core/impl/alloc_cpu.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core/impl copying torch/include/c10/core/impl/InlineDeviceGuard.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core/impl copying torch/include/c10/core/impl/SizesAndStrides.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core/impl copying torch/include/c10/core/impl/InlineStreamGuard.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core/impl creating build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/quint2x4.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/either.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/ScopeExit.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/Registry.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/Deprecated.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/BFloat16-math.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/tempfile.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/complex_utils.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/Type.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/complex.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/safe_numerics.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/ArrayRef.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/qint8.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/LeftRight.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/ExclusivelyOwned.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/FunctionRef.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/Load.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/Optional.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/IdWrapper.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/math_compat.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/Half.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/win32-headers.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/numa.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/SmallBuffer.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/strides.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/BFloat16.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/C++17.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/quint8.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/Half-inl.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/thread_name.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/variant.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/Flags.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/sparse_bitset.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/order_preserving_flat_hash_map.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/llvmMathExtras.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/Unicode.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/complex_math.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/flat_hash_map.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/accumulate.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/overloaded.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/Metaprogramming.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/python_stub.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/ConstexprCrc.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/TypeList.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/TypeTraits.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/irange.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/Bitset.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/MathConstants.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/logging_is_not_google_glog.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/BFloat16-inl.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/MaybeOwned.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/env.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/Backtrace.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/int128.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/Array.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/ThreadLocalDebugInfo.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/quint4x2.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/StringUtil.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/typeid.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/string_utils.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/ExclusivelyOwnedTensorTraits.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/Unroll.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/Logging.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/hash.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/copysign.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/TypeCast.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/TypeSafeSignMath.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/logging_is_google_glog.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/qint32.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/OptionalArrayRef.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/TypeIndex.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/strong_type.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/in_place.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/reverse_iterator.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/string_view.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/ThreadLocal.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/DeadlockDetection.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/CallOnce.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/Exception.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/DimVector.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/signal_handler.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/intrusive_ptr.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/AlignOf.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/SmallVector.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/Synchronized.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/UniqueVoidPtr.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util creating build/lib.linux-x86_64-cpython-310/torch/include/c10/cuda copying torch/include/c10/cuda/CUDACachingAllocator.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/cuda copying torch/include/c10/cuda/CUDADeviceAssertionHost.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/cuda copying torch/include/c10/cuda/CUDAException.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/cuda copying torch/include/c10/cuda/CUDAFunctions.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/cuda copying torch/include/c10/cuda/CUDAGuard.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/cuda copying torch/include/c10/cuda/CUDAMacros.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/cuda copying torch/include/c10/cuda/CUDAMathCompat.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/cuda copying torch/include/c10/cuda/CUDAMiscFunctions.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/cuda copying torch/include/c10/cuda/CUDAStream.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/cuda copying torch/include/c10/cuda/CUDADeviceAssertion.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/cuda copying torch/include/c10/cuda/CUDAGraphsC10Utils.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/cuda copying torch/include/c10/cuda/CUDAAlgorithm.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/cuda creating build/lib.linux-x86_64-cpython-310/torch/include/c10/cuda/impl copying torch/include/c10/cuda/impl/CUDAGuardImpl.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/cuda/impl copying torch/include/c10/cuda/impl/CUDATest.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/cuda/impl copying torch/include/c10/cuda/impl/cuda_cmake_macros.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/cuda/impl creating build/lib.linux-x86_64-cpython-310/torch/include/torch copying torch/include/torch/custom_class.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch copying torch/include/torch/custom_class_detail.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch copying torch/include/torch/library.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch copying torch/include/torch/script.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch copying torch/include/torch/extension.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc copying torch/include/torch/csrc/Export.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc copying torch/include/torch/csrc/Dtype.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc copying torch/include/torch/csrc/MemoryFormat.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc copying torch/include/torch/csrc/PyInterpreter.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc copying torch/include/torch/csrc/Stream.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc copying torch/include/torch/csrc/Device.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc copying torch/include/torch/csrc/python_headers.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc copying torch/include/torch/csrc/Layout.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc copying torch/include/torch/csrc/Size.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc copying torch/include/torch/csrc/Types.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc copying torch/include/torch/csrc/Storage.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc copying torch/include/torch/csrc/serialization.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc copying torch/include/torch/csrc/python_dimname.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc copying torch/include/torch/csrc/utils.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc copying torch/include/torch/csrc/Exceptions.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc copying torch/include/torch/csrc/CudaIPCTypes.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc copying torch/include/torch/csrc/THP.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc copying torch/include/torch/csrc/StorageSharing.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc copying torch/include/torch/csrc/itt_wrapper.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc copying torch/include/torch/csrc/DataLoader.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc copying torch/include/torch/csrc/copy_utils.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc copying torch/include/torch/csrc/Generator.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc copying torch/include/torch/csrc/QScheme.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc copying torch/include/torch/csrc/DynamicTypes.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc copying torch/include/torch/csrc/TypeInfo.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc copying torch/include/torch/csrc/StorageMethods.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc copying torch/include/torch/csrc/THConcat.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc copying torch/include/torch/csrc/PythonTypes.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc copying torch/include/torch/csrc/Module.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch copying torch/include/torch/csrc/api/include/torch/all.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch copying torch/include/torch/csrc/api/include/torch/ordered_dict.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch copying torch/include/torch/csrc/api/include/torch/linalg.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch copying torch/include/torch/csrc/api/include/torch/imethod.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch copying torch/include/torch/csrc/api/include/torch/special.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch copying torch/include/torch/csrc/api/include/torch/expanding_array.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch copying torch/include/torch/csrc/api/include/torch/serialize.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch copying torch/include/torch/csrc/api/include/torch/nn.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch copying torch/include/torch/csrc/api/include/torch/fft.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch copying torch/include/torch/csrc/api/include/torch/utils.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch copying torch/include/torch/csrc/api/include/torch/types.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch copying torch/include/torch/csrc/api/include/torch/data.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch copying torch/include/torch/csrc/api/include/torch/python.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch copying torch/include/torch/csrc/api/include/torch/enum.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch copying torch/include/torch/csrc/api/include/torch/jit.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch copying torch/include/torch/csrc/api/include/torch/nested.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch copying torch/include/torch/csrc/api/include/torch/arg.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch copying torch/include/torch/csrc/api/include/torch/optim.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch copying torch/include/torch/csrc/api/include/torch/cuda.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch copying torch/include/torch/csrc/api/include/torch/autograd.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch copying torch/include/torch/csrc/api/include/torch/torch.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch copying torch/include/torch/csrc/api/include/torch/sparse.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch copying torch/include/torch/csrc/api/include/torch/version.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data copying torch/include/torch/csrc/api/include/torch/data/dataloader_options.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data copying torch/include/torch/csrc/api/include/torch/data/samplers.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data copying torch/include/torch/csrc/api/include/torch/data/transforms.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data copying torch/include/torch/csrc/api/include/torch/data/iterator.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data copying torch/include/torch/csrc/api/include/torch/data/datasets.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data copying torch/include/torch/csrc/api/include/torch/data/worker_exception.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data copying torch/include/torch/csrc/api/include/torch/data/example.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data copying torch/include/torch/csrc/api/include/torch/data/dataloader.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/dataloader copying torch/include/torch/csrc/api/include/torch/data/dataloader/stateless.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/dataloader copying torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/dataloader copying torch/include/torch/csrc/api/include/torch/data/dataloader/base.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/dataloader creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/datasets copying torch/include/torch/csrc/api/include/torch/data/datasets/tensor.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/datasets copying torch/include/torch/csrc/api/include/torch/data/datasets/mnist.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/datasets copying torch/include/torch/csrc/api/include/torch/data/datasets/chunk.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/datasets copying torch/include/torch/csrc/api/include/torch/data/datasets/shared.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/datasets copying torch/include/torch/csrc/api/include/torch/data/datasets/map.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/datasets copying torch/include/torch/csrc/api/include/torch/data/datasets/stateful.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/datasets copying torch/include/torch/csrc/api/include/torch/data/datasets/base.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/datasets creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/detail copying torch/include/torch/csrc/api/include/torch/data/detail/data_shuttle.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/detail copying torch/include/torch/csrc/api/include/torch/data/detail/queue.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/detail copying torch/include/torch/csrc/api/include/torch/data/detail/sequencers.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/detail creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/samplers copying torch/include/torch/csrc/api/include/torch/data/samplers/custom_batch_request.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/samplers copying torch/include/torch/csrc/api/include/torch/data/samplers/random.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/samplers copying torch/include/torch/csrc/api/include/torch/data/samplers/serialize.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/samplers copying torch/include/torch/csrc/api/include/torch/data/samplers/stream.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/samplers copying torch/include/torch/csrc/api/include/torch/data/samplers/sequential.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/samplers copying torch/include/torch/csrc/api/include/torch/data/samplers/distributed.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/samplers copying torch/include/torch/csrc/api/include/torch/data/samplers/base.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/samplers creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/transforms copying torch/include/torch/csrc/api/include/torch/data/transforms/lambda.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/transforms copying torch/include/torch/csrc/api/include/torch/data/transforms/tensor.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/transforms copying torch/include/torch/csrc/api/include/torch/data/transforms/stack.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/transforms copying torch/include/torch/csrc/api/include/torch/data/transforms/collate.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/transforms copying torch/include/torch/csrc/api/include/torch/data/transforms/base.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/transforms creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/detail copying torch/include/torch/csrc/api/include/torch/detail/static.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/detail copying torch/include/torch/csrc/api/include/torch/detail/TensorDataContainer.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/detail creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn copying torch/include/torch/csrc/api/include/torch/nn/functional.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn copying torch/include/torch/csrc/api/include/torch/nn/options.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn copying torch/include/torch/csrc/api/include/torch/nn/utils.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn copying torch/include/torch/csrc/api/include/torch/nn/init.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn copying torch/include/torch/csrc/api/include/torch/nn/cloneable.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn copying torch/include/torch/csrc/api/include/torch/nn/pimpl-inl.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn copying torch/include/torch/csrc/api/include/torch/nn/modules.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn copying torch/include/torch/csrc/api/include/torch/nn/module.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn copying torch/include/torch/csrc/api/include/torch/nn/pimpl.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/functional copying torch/include/torch/csrc/api/include/torch/nn/functional/batchnorm.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/functional copying torch/include/torch/csrc/api/include/torch/nn/functional/pooling.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/functional copying torch/include/torch/csrc/api/include/torch/nn/functional/instancenorm.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/functional copying torch/include/torch/csrc/api/include/torch/nn/functional/conv.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/functional copying torch/include/torch/csrc/api/include/torch/nn/functional/pixelshuffle.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/functional copying torch/include/torch/csrc/api/include/torch/nn/functional/vision.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/functional copying torch/include/torch/csrc/api/include/torch/nn/functional/linear.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/functional copying torch/include/torch/csrc/api/include/torch/nn/functional/padding.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/functional copying torch/include/torch/csrc/api/include/torch/nn/functional/dropout.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/functional copying torch/include/torch/csrc/api/include/torch/nn/functional/embedding.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/functional copying torch/include/torch/csrc/api/include/torch/nn/functional/normalization.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/functional copying torch/include/torch/csrc/api/include/torch/nn/functional/upsampling.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/functional copying torch/include/torch/csrc/api/include/torch/nn/functional/fold.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/functional copying torch/include/torch/csrc/api/include/torch/nn/functional/loss.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/functional copying torch/include/torch/csrc/api/include/torch/nn/functional/distance.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/functional copying torch/include/torch/csrc/api/include/torch/nn/functional/activation.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/functional creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options copying torch/include/torch/csrc/api/include/torch/nn/options/batchnorm.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options copying torch/include/torch/csrc/api/include/torch/nn/options/pooling.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options copying torch/include/torch/csrc/api/include/torch/nn/options/instancenorm.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options copying torch/include/torch/csrc/api/include/torch/nn/options/conv.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options copying torch/include/torch/csrc/api/include/torch/nn/options/pixelshuffle.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options copying torch/include/torch/csrc/api/include/torch/nn/options/vision.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options copying torch/include/torch/csrc/api/include/torch/nn/options/transformerlayer.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options copying torch/include/torch/csrc/api/include/torch/nn/options/linear.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options copying torch/include/torch/csrc/api/include/torch/nn/options/padding.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options copying torch/include/torch/csrc/api/include/torch/nn/options/dropout.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options copying torch/include/torch/csrc/api/include/torch/nn/options/embedding.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options copying torch/include/torch/csrc/api/include/torch/nn/options/normalization.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options copying torch/include/torch/csrc/api/include/torch/nn/options/transformer.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options copying torch/include/torch/csrc/api/include/torch/nn/options/upsampling.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options copying torch/include/torch/csrc/api/include/torch/nn/options/fold.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options copying torch/include/torch/csrc/api/include/torch/nn/options/loss.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options copying torch/include/torch/csrc/api/include/torch/nn/options/adaptive.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options copying torch/include/torch/csrc/api/include/torch/nn/options/transformercoder.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options copying torch/include/torch/csrc/api/include/torch/nn/options/distance.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options copying torch/include/torch/csrc/api/include/torch/nn/options/rnn.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options copying torch/include/torch/csrc/api/include/torch/nn/options/activation.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules copying torch/include/torch/csrc/api/include/torch/nn/modules/batchnorm.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules copying torch/include/torch/csrc/api/include/torch/nn/modules/pooling.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules copying torch/include/torch/csrc/api/include/torch/nn/modules/instancenorm.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules copying torch/include/torch/csrc/api/include/torch/nn/modules/conv.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules copying torch/include/torch/csrc/api/include/torch/nn/modules/pixelshuffle.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules copying torch/include/torch/csrc/api/include/torch/nn/modules/common.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules copying torch/include/torch/csrc/api/include/torch/nn/modules/transformerlayer.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules copying torch/include/torch/csrc/api/include/torch/nn/modules/linear.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules copying torch/include/torch/csrc/api/include/torch/nn/modules/padding.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules copying torch/include/torch/csrc/api/include/torch/nn/modules/dropout.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules copying torch/include/torch/csrc/api/include/torch/nn/modules/utils.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules copying torch/include/torch/csrc/api/include/torch/nn/modules/embedding.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules copying torch/include/torch/csrc/api/include/torch/nn/modules/normalization.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules copying torch/include/torch/csrc/api/include/torch/nn/modules/transformer.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules copying torch/include/torch/csrc/api/include/torch/nn/modules/upsampling.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules copying torch/include/torch/csrc/api/include/torch/nn/modules/fold.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules copying torch/include/torch/csrc/api/include/torch/nn/modules/loss.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules copying torch/include/torch/csrc/api/include/torch/nn/modules/adaptive.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules copying torch/include/torch/csrc/api/include/torch/nn/modules/_functions.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules copying torch/include/torch/csrc/api/include/torch/nn/modules/transformercoder.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules copying torch/include/torch/csrc/api/include/torch/nn/modules/distance.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules copying torch/include/torch/csrc/api/include/torch/nn/modules/rnn.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules copying torch/include/torch/csrc/api/include/torch/nn/modules/activation.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/container copying torch/include/torch/csrc/api/include/torch/nn/modules/container/any.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/container copying torch/include/torch/csrc/api/include/torch/nn/modules/container/parameterlist.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/container copying torch/include/torch/csrc/api/include/torch/nn/modules/container/moduledict.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/container copying torch/include/torch/csrc/api/include/torch/nn/modules/container/named_any.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/container copying torch/include/torch/csrc/api/include/torch/nn/modules/container/parameterdict.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/container copying torch/include/torch/csrc/api/include/torch/nn/modules/container/modulelist.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/container copying torch/include/torch/csrc/api/include/torch/nn/modules/container/functional.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/container copying torch/include/torch/csrc/api/include/torch/nn/modules/container/any_module_holder.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/container copying torch/include/torch/csrc/api/include/torch/nn/modules/container/sequential.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/container copying torch/include/torch/csrc/api/include/torch/nn/modules/container/any_value.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/container creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/parallel copying torch/include/torch/csrc/api/include/torch/nn/parallel/data_parallel.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/parallel creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/utils copying torch/include/torch/csrc/api/include/torch/nn/utils/convert_parameters.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/utils copying torch/include/torch/csrc/api/include/torch/nn/utils/clip_grad.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/utils copying torch/include/torch/csrc/api/include/torch/nn/utils/rnn.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/utils creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/optim copying torch/include/torch/csrc/api/include/torch/optim/sgd.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/optim copying torch/include/torch/csrc/api/include/torch/optim/optimizer.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/optim copying torch/include/torch/csrc/api/include/torch/optim/adagrad.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/optim copying torch/include/torch/csrc/api/include/torch/optim/serialize.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/optim copying torch/include/torch/csrc/api/include/torch/optim/adam.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/optim copying torch/include/torch/csrc/api/include/torch/optim/lbfgs.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/optim copying torch/include/torch/csrc/api/include/torch/optim/adamw.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/optim copying torch/include/torch/csrc/api/include/torch/optim/rmsprop.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/optim creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/optim/schedulers copying torch/include/torch/csrc/api/include/torch/optim/schedulers/lr_scheduler.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/optim/schedulers copying torch/include/torch/csrc/api/include/torch/optim/schedulers/step_lr.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/optim/schedulers creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/serialize copying torch/include/torch/csrc/api/include/torch/serialize/tensor.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/serialize copying torch/include/torch/csrc/api/include/torch/serialize/output-archive.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/serialize copying torch/include/torch/csrc/api/include/torch/serialize/input-archive.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/serialize copying torch/include/torch/csrc/api/include/torch/serialize/archive.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/serialize creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/python_cpp_function.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/graph_task.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/autograd_not_implemented_fallback.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/profiler_legacy.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/edge.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/profiler.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/python_saved_variable_hooks.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/python_return_types.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/VariableTypeUtils.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/python_sparse_functions.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/python_legacy_variable.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/saved_variable.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/saved_variable_hooks.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/cpp_hook.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/python_linalg_functions.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/function.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/python_nested_functions.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/variable.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/python_nn_functions.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/python_anomaly_mode.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/jit_decomp_interface.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/input_metadata.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/python_function.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/function_hook.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/python_enum_tag.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/anomaly_mode.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/symbolic.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/python_torch_functions.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/profiler_python.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/python_variable_indexing.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/python_special_functions.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/input_buffer.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/python_hook.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/engine.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/profiler_kineto.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/record_function_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/python_autograd.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/forward_grad.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/python_engine.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/grad_mode.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/python_variable.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/FunctionsManual.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/autograd.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/custom_function.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/python_fft_functions.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/InferenceMode.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/functions copying torch/include/torch/csrc/autograd/functions/basic_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/functions copying torch/include/torch/csrc/autograd/functions/tensor.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/functions copying torch/include/torch/csrc/autograd/functions/utils.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/functions copying torch/include/torch/csrc/autograd/functions/pybind.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/functions copying torch/include/torch/csrc/autograd/functions/accumulate_grad.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/functions copying torch/include/torch/csrc/autograd/functions/comm.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/functions creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/generated copying torch/include/torch/csrc/autograd/generated/python_functions.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/generated copying torch/include/torch/csrc/autograd/generated/VariableType.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/generated copying torch/include/torch/csrc/autograd/generated/Functions.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/generated copying torch/include/torch/csrc/autograd/generated/variable_factories.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/generated creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/utils copying torch/include/torch/csrc/autograd/utils/python_arg_parsing.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/utils copying torch/include/torch/csrc/autograd/utils/wrap_outputs.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/utils copying torch/include/torch/csrc/autograd/utils/warnings.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/utils copying torch/include/torch/csrc/autograd/utils/error_messages.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/utils copying torch/include/torch/csrc/autograd/utils/lambda_post_hook.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/utils copying torch/include/torch/csrc/autograd/utils/grad_layout_contract.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/utils creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/cuda copying torch/include/torch/csrc/cuda/Stream.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/cuda copying torch/include/torch/csrc/cuda/python_comm.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/cuda copying torch/include/torch/csrc/cuda/THCP.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/cuda copying torch/include/torch/csrc/cuda/device_set.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/cuda copying torch/include/torch/csrc/cuda/python_nccl.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/cuda copying torch/include/torch/csrc/cuda/nccl.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/cuda copying torch/include/torch/csrc/cuda/Event.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/cuda copying torch/include/torch/csrc/cuda/memory_snapshot.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/cuda copying torch/include/torch/csrc/cuda/comm.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/cuda copying torch/include/torch/csrc/cuda/CUDAPluggableAllocator.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/cuda copying torch/include/torch/csrc/cuda/Module.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/cuda creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d copying torch/include/torch/csrc/distributed/c10d/logging.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d copying torch/include/torch/csrc/distributed/c10d/TraceUtils.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d copying torch/include/torch/csrc/distributed/c10d/debug.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d copying torch/include/torch/csrc/distributed/c10d/python_comm_hook.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d copying torch/include/torch/csrc/distributed/c10d/error.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d copying torch/include/torch/csrc/distributed/c10d/exception.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d copying torch/include/torch/csrc/distributed/c10d/c10d.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d copying torch/include/torch/csrc/distributed/c10d/socket.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d copying torch/include/torch/csrc/distributed/c10d/ProcessGroupUCC.hpp -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d copying torch/include/torch/csrc/distributed/c10d/TCPStore.hpp -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d copying torch/include/torch/csrc/distributed/c10d/UCCUtils.hpp -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d copying torch/include/torch/csrc/distributed/c10d/logger.hpp -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d copying torch/include/torch/csrc/distributed/c10d/WinSockUtils.hpp -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d copying torch/include/torch/csrc/distributed/c10d/default_comm_hooks.hpp -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d copying torch/include/torch/csrc/distributed/c10d/NCCLUtils.hpp -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d copying torch/include/torch/csrc/distributed/c10d/ProcessGroupGloo.hpp -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d copying torch/include/torch/csrc/distributed/c10d/Utils.hpp -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d copying torch/include/torch/csrc/distributed/c10d/comm.hpp -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d copying torch/include/torch/csrc/distributed/c10d/ProcessGroupMPI.hpp -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d copying torch/include/torch/csrc/distributed/c10d/PrefixStore.hpp -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d copying torch/include/torch/csrc/distributed/c10d/GlooDeviceFactory.hpp -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d copying torch/include/torch/csrc/distributed/c10d/reducer.hpp -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d copying torch/include/torch/csrc/distributed/c10d/sequence_num.hpp -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d copying torch/include/torch/csrc/distributed/c10d/ProcessGroupWrapper.hpp -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d copying torch/include/torch/csrc/distributed/c10d/UCCTracing.hpp -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d copying torch/include/torch/csrc/distributed/c10d/UnixSockUtils.hpp -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d copying torch/include/torch/csrc/distributed/c10d/ProcessGroupRoundRobin.hpp -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d copying torch/include/torch/csrc/distributed/c10d/Store.hpp -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d copying torch/include/torch/csrc/distributed/c10d/FileStore.hpp -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d copying torch/include/torch/csrc/distributed/c10d/UCCForNCCL.hpp -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d copying torch/include/torch/csrc/distributed/c10d/reducer_timer.hpp -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d copying torch/include/torch/csrc/distributed/c10d/ProcessGroup.hpp -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d copying torch/include/torch/csrc/distributed/c10d/ProcessGroupNCCL.hpp -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d copying torch/include/torch/csrc/distributed/c10d/PyProcessGroup.hpp -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d copying torch/include/torch/csrc/distributed/c10d/Backend.hpp -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d copying torch/include/torch/csrc/distributed/c10d/Work.hpp -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d copying torch/include/torch/csrc/distributed/c10d/ParamCommsUtils.hpp -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d copying torch/include/torch/csrc/distributed/c10d/HashStore.hpp -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d copying torch/include/torch/csrc/distributed/c10d/Types.hpp -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc copying torch/include/torch/csrc/distributed/rpc/torchscript_functions.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc copying torch/include/torch/csrc/distributed/rpc/request_callback.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc copying torch/include/torch/csrc/distributed/rpc/unpickled_python_call.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc copying torch/include/torch/csrc/distributed/rpc/script_call.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc copying torch/include/torch/csrc/distributed/rpc/tensorpipe_utils.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc copying torch/include/torch/csrc/distributed/rpc/message.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc copying torch/include/torch/csrc/distributed/rpc/request_callback_no_python.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc copying torch/include/torch/csrc/distributed/rpc/python_resp.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc copying torch/include/torch/csrc/distributed/rpc/rref_context.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc copying torch/include/torch/csrc/distributed/rpc/script_remote_call.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc copying torch/include/torch/csrc/distributed/rpc/py_rref.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc copying torch/include/torch/csrc/distributed/rpc/utils.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc copying torch/include/torch/csrc/distributed/rpc/types.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc copying torch/include/torch/csrc/distributed/rpc/tensorpipe_agent.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc copying torch/include/torch/csrc/distributed/rpc/python_call.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc copying torch/include/torch/csrc/distributed/rpc/rref_proto.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc copying torch/include/torch/csrc/distributed/rpc/request_callback_impl.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc copying torch/include/torch/csrc/distributed/rpc/rpc_agent.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc copying torch/include/torch/csrc/distributed/rpc/rref_impl.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc copying torch/include/torch/csrc/distributed/rpc/agent_utils.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc copying torch/include/torch/csrc/distributed/rpc/unpickled_python_remote_call.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc copying torch/include/torch/csrc/distributed/rpc/rpc.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc copying torch/include/torch/csrc/distributed/rpc/rpc_command_base.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc copying torch/include/torch/csrc/distributed/rpc/python_rpc_handler.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc copying torch/include/torch/csrc/distributed/rpc/python_functions.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc copying torch/include/torch/csrc/distributed/rpc/python_remote_call.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc copying torch/include/torch/csrc/distributed/rpc/script_resp.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit copying torch/include/torch/csrc/jit/resource_guard.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit copying torch/include/torch/csrc/jit/jit_log.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit copying torch/include/torch/csrc/jit/jit_opt_limit.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/backends copying torch/include/torch/csrc/jit/backends/backend_resolver.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/backends copying torch/include/torch/csrc/jit/backends/backend_interface.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/backends copying torch/include/torch/csrc/jit/backends/backend.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/backends copying torch/include/torch/csrc/jit/backends/backend_debug_handler.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/backends copying torch/include/torch/csrc/jit/backends/backend_preprocess.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/backends copying torch/include/torch/csrc/jit/backends/backend_init.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/backends copying torch/include/torch/csrc/jit/backends/backend_debug_info.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/backends copying torch/include/torch/csrc/jit/backends/backend_exception.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/backends copying torch/include/torch/csrc/jit/backends/backend_detail.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/backends creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/frozen_graph_optimizations.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/decompose_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/clear_undefinedness.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/batch_mm.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/fold_conv_bn.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/canonicalize.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/vulkan_rewrite.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/lower_graph.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/requires_grad_analysis.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/check_strict_fusion.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/metal_rewrite.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/graph_fuser.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/annotate_warns.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/symbolic_shape_analysis.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/remove_expands.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/constant_pooling.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/shape_analysis.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/loop_unrolling.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/refine_tuple_types.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/value_refinement_utils.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/bailout_graph.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/frozen_concat_linear.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/mobile_optimizer_type.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/pass_manager.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/eliminate_no_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/guard_elimination.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/hoist_conv_packed_params.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/fuse_relu.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/remove_mutation.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/erase_number_types.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/variadic_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/clear_profiling.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/canonicalize_graph_fuser_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/common_subexpression_elimination.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/create_functional_graphs.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/lift_closures.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/prepack_folding.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/peephole_non_tensor.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/inplace_check.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/normalize_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/autocast.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/symbolic_shape_cache.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/freeze_module.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/inline_fork_wait.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/remove_exceptions.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/symbolic_shape_runtime_fusion.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/peephole_list_idioms.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/xnnpack_rewrite.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/restore_mutation.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/frozen_linear_transpose.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/specialize_autogradzero.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/lower_tuples.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/inline_autodiff_subgraphs.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/graph_rewrite_helper.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/remove_dropout.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/peephole.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/device_type_analysis.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/fixup_trace_scope_blocks.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/remove_redundant_profiles.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/fold_linear_bn.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/dtype_analysis.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/liveness.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/update_differentiable_graph_requires_grad.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/onnx.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/frozen_ops_to_mkldnn.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/dead_code_elimination.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/frozen_linear_folding.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/onednn_graph_fuser.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/constant_propagation.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/replacement_of_old_operators.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/insert_guards.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/mkldnn_rewrite.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/create_autodiff_subgraphs.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/peephole_dict_idioms.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/concat_opt.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/inline_forked_closures.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/lower_grad_of.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/integer_value_refinement.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/tensorexpr_fuser.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/add_if_then_else.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/inliner.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/fuse_linear.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/remove_inplace_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/cuda_graph_fuser.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/frozen_conv_add_relu_fusion.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/frozen_conv_folding.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/peephole_alias_sensitive.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/subgraph_rewrite.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/quantization copying torch/include/torch/csrc/jit/passes/quantization/helper.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/quantization copying torch/include/torch/csrc/jit/passes/quantization/quantization_type.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/quantization copying torch/include/torch/csrc/jit/passes/quantization/dedup_module_uses.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/quantization copying torch/include/torch/csrc/jit/passes/quantization/quantization_patterns.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/quantization copying torch/include/torch/csrc/jit/passes/quantization/fusion_passes.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/quantization copying torch/include/torch/csrc/jit/passes/quantization/insert_quant_dequant.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/quantization copying torch/include/torch/csrc/jit/passes/quantization/insert_observers.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/quantization copying torch/include/torch/csrc/jit/passes/quantization/register_packed_params.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/quantization copying torch/include/torch/csrc/jit/passes/quantization/finalize.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/quantization creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/utils copying torch/include/torch/csrc/jit/passes/utils/subgraph_utils.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/utils copying torch/include/torch/csrc/jit/passes/utils/optimization_utils.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/utils copying torch/include/torch/csrc/jit/passes/utils/check_alias_annotation.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/utils copying torch/include/torch/csrc/jit/passes/utils/op_registry.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/utils copying torch/include/torch/csrc/jit/passes/utils/memory_dag.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/utils creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime copying torch/include/torch/csrc/jit/runtime/logging.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime copying torch/include/torch/csrc/jit/runtime/graph_iterator.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime copying torch/include/torch/csrc/jit/runtime/script_profile.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime copying torch/include/torch/csrc/jit/runtime/decomposition_registry.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime copying torch/include/torch/csrc/jit/runtime/decomposition_registry_util.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime copying torch/include/torch/csrc/jit/runtime/symbolic_shape_registry_util.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime copying torch/include/torch/csrc/jit/runtime/argument_spec.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime copying torch/include/torch/csrc/jit/runtime/register_ops_utils.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime copying torch/include/torch/csrc/jit/runtime/variable_tensor_list.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime copying torch/include/torch/csrc/jit/runtime/custom_operator.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime copying torch/include/torch/csrc/jit/runtime/profiling_graph_executor_impl.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime copying torch/include/torch/csrc/jit/runtime/serialized_shape_function_registry.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime copying torch/include/torch/csrc/jit/runtime/vararg_functions.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime copying torch/include/torch/csrc/jit/runtime/graph_executor.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime copying torch/include/torch/csrc/jit/runtime/operator_options.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime copying torch/include/torch/csrc/jit/runtime/interpreter.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime copying torch/include/torch/csrc/jit/runtime/autodiff.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime copying torch/include/torch/csrc/jit/runtime/exception_message.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime copying torch/include/torch/csrc/jit/runtime/jit_exception.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime copying torch/include/torch/csrc/jit/runtime/operator.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime copying torch/include/torch/csrc/jit/runtime/print_handler.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime copying torch/include/torch/csrc/jit/runtime/shape_function_registry.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime copying torch/include/torch/csrc/jit/runtime/calculate_necessary_args.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime copying torch/include/torch/csrc/jit/runtime/graph_executor_impl.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime copying torch/include/torch/csrc/jit/runtime/profiling_record.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime copying torch/include/torch/csrc/jit/runtime/symbolic_script.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime copying torch/include/torch/csrc/jit/runtime/instruction.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime copying torch/include/torch/csrc/jit/runtime/jit_trace.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime copying torch/include/torch/csrc/jit/runtime/simple_graph_executor_impl.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime copying torch/include/torch/csrc/jit/runtime/slice_indices_adjust.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime copying torch/include/torch/csrc/jit/runtime/symbolic_shape_registry.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/ir copying torch/include/torch/csrc/jit/ir/alias_analysis.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/ir copying torch/include/torch/csrc/jit/ir/constants.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/ir copying torch/include/torch/csrc/jit/ir/scope.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/ir copying torch/include/torch/csrc/jit/ir/subgraph_matcher.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/ir copying torch/include/torch/csrc/jit/ir/ir_views.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/ir copying torch/include/torch/csrc/jit/ir/attributes.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/ir copying torch/include/torch/csrc/jit/ir/graph_utils.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/ir copying torch/include/torch/csrc/jit/ir/node_hashing.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/ir copying torch/include/torch/csrc/jit/ir/named_value.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/ir copying torch/include/torch/csrc/jit/ir/irparser.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/ir copying torch/include/torch/csrc/jit/ir/graph_node_list.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/ir copying torch/include/torch/csrc/jit/ir/type_hashing.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/ir copying torch/include/torch/csrc/jit/ir/ir.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/ir creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend copying torch/include/torch/csrc/jit/frontend/source_range.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend copying torch/include/torch/csrc/jit/frontend/lexer.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend copying torch/include/torch/csrc/jit/frontend/strtod.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend copying torch/include/torch/csrc/jit/frontend/parser_constants.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend copying torch/include/torch/csrc/jit/frontend/function_schema_parser.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend copying torch/include/torch/csrc/jit/frontend/parse_string_literal.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend copying torch/include/torch/csrc/jit/frontend/schema_type_parser.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend copying torch/include/torch/csrc/jit/frontend/error_report.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend copying torch/include/torch/csrc/jit/frontend/tree.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend copying torch/include/torch/csrc/jit/frontend/versioned_symbols.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend copying torch/include/torch/csrc/jit/frontend/canonicalize_modified_loop.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend copying torch/include/torch/csrc/jit/frontend/concrete_module_type.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend copying torch/include/torch/csrc/jit/frontend/schema_matching.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend copying torch/include/torch/csrc/jit/frontend/inline_loop_condition.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend copying torch/include/torch/csrc/jit/frontend/script_type_parser.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend copying torch/include/torch/csrc/jit/frontend/tracer.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend copying torch/include/torch/csrc/jit/frontend/sugared_value.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend copying torch/include/torch/csrc/jit/frontend/tree_views.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend copying torch/include/torch/csrc/jit/frontend/resolver.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend copying torch/include/torch/csrc/jit/frontend/edit_distance.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend copying torch/include/torch/csrc/jit/frontend/exit_transforms.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend copying torch/include/torch/csrc/jit/frontend/convert_to_ssa.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend copying torch/include/torch/csrc/jit/frontend/name_mangler.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend copying torch/include/torch/csrc/jit/frontend/ir_emitter.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend copying torch/include/torch/csrc/jit/frontend/mini_environment.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend copying torch/include/torch/csrc/jit/frontend/builtin_functions.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend copying torch/include/torch/csrc/jit/frontend/parser.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend copying torch/include/torch/csrc/jit/frontend/source_ref.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/api copying torch/include/torch/csrc/jit/api/object.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/api copying torch/include/torch/csrc/jit/api/method.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/api copying torch/include/torch/csrc/jit/api/module.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/api copying torch/include/torch/csrc/jit/api/compilation_unit.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/api copying torch/include/torch/csrc/jit/api/function_impl.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/api creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization copying torch/include/torch/csrc/jit/serialization/callstack_debug_info_serialization.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization copying torch/include/torch/csrc/jit/serialization/source_range_serialization.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization copying torch/include/torch/csrc/jit/serialization/mobile_bytecode_generated.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization copying torch/include/torch/csrc/jit/serialization/source_range_serialization_impl.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization copying torch/include/torch/csrc/jit/serialization/import.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization copying torch/include/torch/csrc/jit/serialization/import_export_constants.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization copying torch/include/torch/csrc/jit/serialization/import_read.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization copying torch/include/torch/csrc/jit/serialization/python_print.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization copying torch/include/torch/csrc/jit/serialization/flatbuffer_serializer.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization copying torch/include/torch/csrc/jit/serialization/pickle.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization copying torch/include/torch/csrc/jit/serialization/import_legacy.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization copying torch/include/torch/csrc/jit/serialization/import_source.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization copying torch/include/torch/csrc/jit/serialization/flatbuffer_serializer_jit.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization copying torch/include/torch/csrc/jit/serialization/import_export_functions.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization copying torch/include/torch/csrc/jit/serialization/storage_context.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization copying torch/include/torch/csrc/jit/serialization/import_export_helpers.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization copying torch/include/torch/csrc/jit/serialization/type_name_uniquer.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization copying torch/include/torch/csrc/jit/serialization/onnx.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization copying torch/include/torch/csrc/jit/serialization/unpickler.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization copying torch/include/torch/csrc/jit/serialization/export.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization copying torch/include/torch/csrc/jit/serialization/export_bytecode.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization copying torch/include/torch/csrc/jit/serialization/pickler.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/python copying torch/include/torch/csrc/jit/python/python_sugared_value.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/python copying torch/include/torch/csrc/jit/python/python_arg_flatten.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/python copying torch/include/torch/csrc/jit/python/script_init.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/python copying torch/include/torch/csrc/jit/python/python_tracer.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/python copying torch/include/torch/csrc/jit/python/module_python.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/python copying torch/include/torch/csrc/jit/python/python_custom_class.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/python copying torch/include/torch/csrc/jit/python/python_ir.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/python copying torch/include/torch/csrc/jit/python/python_dict.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/python copying torch/include/torch/csrc/jit/python/pybind.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/python copying torch/include/torch/csrc/jit/python/init.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/python copying torch/include/torch/csrc/jit/python/pybind_utils.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/python copying torch/include/torch/csrc/jit/python/update_graph_executor_opt.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/python copying torch/include/torch/csrc/jit/python/python_tree_views.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/python copying torch/include/torch/csrc/jit/python/python_ivalue.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/python copying torch/include/torch/csrc/jit/python/python_list.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/python creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile copying torch/include/torch/csrc/jit/mobile/quantization.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile copying torch/include/torch/csrc/jit/mobile/prim_ops_registery.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile copying torch/include/torch/csrc/jit/mobile/import.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile copying torch/include/torch/csrc/jit/mobile/debug_info.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile copying torch/include/torch/csrc/jit/mobile/function.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile copying torch/include/torch/csrc/jit/mobile/type_parser.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile copying torch/include/torch/csrc/jit/mobile/observer.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile copying torch/include/torch/csrc/jit/mobile/flatbuffer_loader.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile copying torch/include/torch/csrc/jit/mobile/register_ops_common_utils.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile copying torch/include/torch/csrc/jit/mobile/parse_operators.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile copying torch/include/torch/csrc/jit/mobile/parse_bytecode.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile copying torch/include/torch/csrc/jit/mobile/interpreter.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile copying torch/include/torch/csrc/jit/mobile/promoted_prim_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile copying torch/include/torch/csrc/jit/mobile/method.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile copying torch/include/torch/csrc/jit/mobile/profiler_edge.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile copying torch/include/torch/csrc/jit/mobile/import_export_common.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile copying torch/include/torch/csrc/jit/mobile/file_format.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile copying torch/include/torch/csrc/jit/mobile/code.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile copying torch/include/torch/csrc/jit/mobile/frame.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile copying torch/include/torch/csrc/jit/mobile/upgrader_mobile.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile copying torch/include/torch/csrc/jit/mobile/module.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile copying torch/include/torch/csrc/jit/mobile/import_data.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/testing copying torch/include/torch/csrc/jit/testing/file_check.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/testing copying torch/include/torch/csrc/jit/testing/hooks_for_testing.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/testing creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/hash_provider.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/lowerings.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/ir_verifier.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/analysis.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/llvm_codegen.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/tensor.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/external_functions_registry.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/bounds_inference.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/eval.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/bounds_overlap.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/cpp_intrinsics.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/half_support.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/fwd_decls.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/ir_simplifier.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/expr.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/cuda_codegen.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/intrinsic_symbols.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/llvm_jit.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/types.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/mem_dependency_checker.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/tensorexpr_init.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/ir_cloner.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/reduction.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/block_codegen.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/stmt.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/ir_visitor.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/kernel.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/cpp_codegen.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/codegen.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/loopnest.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/external_functions_core.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/cuda_random.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/graph_opt.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/var_substitutor.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/exceptions.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/loopnest_randomization.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/unique_name_manager.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/external_functions.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/ir_mutator.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/ir_printer.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/ir.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/registerizer.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/operators copying torch/include/torch/csrc/jit/tensorexpr/operators/quantization.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/operators copying torch/include/torch/csrc/jit/tensorexpr/operators/operators.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/operators copying torch/include/torch/csrc/jit/tensorexpr/operators/matmul.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/operators copying torch/include/torch/csrc/jit/tensorexpr/operators/norm.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/operators copying torch/include/torch/csrc/jit/tensorexpr/operators/reduction.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/operators copying torch/include/torch/csrc/jit/tensorexpr/operators/misc.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/operators copying torch/include/torch/csrc/jit/tensorexpr/operators/pointwise.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/operators copying torch/include/torch/csrc/jit/tensorexpr/operators/softmax.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/operators copying torch/include/torch/csrc/jit/tensorexpr/operators/conv2d.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/operators creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/codegen creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/codegen/cuda copying torch/include/torch/csrc/jit/codegen/cuda/interface.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/codegen/cuda creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/onnx copying torch/include/torch/csrc/onnx/init.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/onnx copying torch/include/torch/csrc/onnx/onnx.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/onnx creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/profiler copying torch/include/torch/csrc/profiler/perf.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/profiler copying torch/include/torch/csrc/profiler/util.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/profiler copying torch/include/torch/csrc/profiler/collection.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/profiler copying torch/include/torch/csrc/profiler/data_flow.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/profiler copying torch/include/torch/csrc/profiler/kineto_shim.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/profiler copying torch/include/torch/csrc/profiler/events.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/profiler copying torch/include/torch/csrc/profiler/perf-inl.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/profiler copying torch/include/torch/csrc/profiler/api.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/profiler copying torch/include/torch/csrc/profiler/containers.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/profiler creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/profiler/orchestration copying torch/include/torch/csrc/profiler/orchestration/vulkan.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/profiler/orchestration copying torch/include/torch/csrc/profiler/orchestration/python_tracer.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/profiler/orchestration copying torch/include/torch/csrc/profiler/orchestration/observer.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/profiler/orchestration creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/profiler/stubs copying torch/include/torch/csrc/profiler/stubs/base.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/profiler/stubs creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/memory.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/invalid_arguments.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/byte_order.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/tensor_new.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/torch_dispatch_mode.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/python_strings.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/auto_gil.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/python_compat.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/tensor_types.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/tensor_memoryformats.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/python_tuples.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/tensor_flatten.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/python_arg_parser.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/disable_torch_function.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/variadic.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/numpy_stub.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/cpp_stacktraces.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/pythoncapi_compat.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/cuda_enabled.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/python_torch_function_mode.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/pycfunction_helpers.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/pybind.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/init.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/tensor_apply.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/python_stub.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/throughput_benchmark-inl.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/python_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/throughput_benchmark.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/nested.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/tensor_qschemes.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/tensor_numpy.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/cuda_lazy_init.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/python_numbers.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/python_symnode.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/tensor_layouts.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/object_ptr.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/tensor_dtypes.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/tensor_list.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/six.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/structseq.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/schema_info.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/out_types.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/python_scalars.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/tensor copying torch/include/torch/csrc/tensor/python_tensor.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/tensor creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/backend copying torch/include/torch/csrc/lazy/backend/backend_device.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/backend copying torch/include/torch/csrc/lazy/backend/backend_interface.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/backend copying torch/include/torch/csrc/lazy/backend/lowering_context.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/backend copying torch/include/torch/csrc/lazy/backend/backend_data.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/backend creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core copying torch/include/torch/csrc/lazy/core/ir_builder.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core copying torch/include/torch/csrc/lazy/core/util.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core copying torch/include/torch/csrc/lazy/core/tensor.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core copying torch/include/torch/csrc/lazy/core/dynamic_ir.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core copying torch/include/torch/csrc/lazy/core/unique.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core copying torch/include/torch/csrc/lazy/core/ir_util.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core copying torch/include/torch/csrc/lazy/core/thread_pool.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core copying torch/include/torch/csrc/lazy/core/permutation_util.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core copying torch/include/torch/csrc/lazy/core/lazy_graph_executor.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core copying torch/include/torch/csrc/lazy/core/multi_wait.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core copying torch/include/torch/csrc/lazy/core/ir_dump_util.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core copying torch/include/torch/csrc/lazy/core/shape.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core copying torch/include/torch/csrc/lazy/core/cache.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core copying torch/include/torch/csrc/lazy/core/trie.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core copying torch/include/torch/csrc/lazy/core/hash.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core copying torch/include/torch/csrc/lazy/core/debug_util.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core copying torch/include/torch/csrc/lazy/core/ir_metadata.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core copying torch/include/torch/csrc/lazy/core/shape_inference.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core copying torch/include/torch/csrc/lazy/core/tensor_util.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core copying torch/include/torch/csrc/lazy/core/config.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core copying torch/include/torch/csrc/lazy/core/tensor_impl.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core copying torch/include/torch/csrc/lazy/core/helpers.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core copying torch/include/torch/csrc/lazy/core/metrics.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core copying torch/include/torch/csrc/lazy/core/ir.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core/internal_ops copying torch/include/torch/csrc/lazy/core/internal_ops/ltc_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core/internal_ops creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core/ops copying torch/include/torch/csrc/lazy/core/ops/arithmetic_ir_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core/ops copying torch/include/torch/csrc/lazy/core/ops/utils.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core/ops creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/ts_backend copying torch/include/torch/csrc/lazy/ts_backend/ts_autograd_functions.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/ts_backend copying torch/include/torch/csrc/lazy/ts_backend/ir_builder.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/ts_backend copying torch/include/torch/csrc/lazy/ts_backend/dynamic_ir.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/ts_backend copying torch/include/torch/csrc/lazy/ts_backend/ts_node.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/ts_backend copying torch/include/torch/csrc/lazy/ts_backend/ts_node_lowering.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/ts_backend copying torch/include/torch/csrc/lazy/ts_backend/ts_eager_fallback.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/ts_backend copying torch/include/torch/csrc/lazy/ts_backend/tensor_aten_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/ts_backend copying torch/include/torch/csrc/lazy/ts_backend/ts_backend_impl.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/ts_backend copying torch/include/torch/csrc/lazy/ts_backend/ts_lowering_context.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/ts_backend copying torch/include/torch/csrc/lazy/ts_backend/config.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/ts_backend creating build/lib.linux-x86_64-cpython-310/torch/include/pybind11 copying torch/include/pybind11/eigen.h -> build/lib.linux-x86_64-cpython-310/torch/include/pybind11 copying torch/include/pybind11/complex.h -> build/lib.linux-x86_64-cpython-310/torch/include/pybind11 copying torch/include/pybind11/operators.h -> build/lib.linux-x86_64-cpython-310/torch/include/pybind11 copying torch/include/pybind11/cast.h -> build/lib.linux-x86_64-cpython-310/torch/include/pybind11 copying torch/include/pybind11/buffer_info.h -> build/lib.linux-x86_64-cpython-310/torch/include/pybind11 copying torch/include/pybind11/functional.h -> build/lib.linux-x86_64-cpython-310/torch/include/pybind11 copying torch/include/pybind11/eval.h -> build/lib.linux-x86_64-cpython-310/torch/include/pybind11 copying torch/include/pybind11/common.h -> build/lib.linux-x86_64-cpython-310/torch/include/pybind11 copying torch/include/pybind11/stl_bind.h -> build/lib.linux-x86_64-cpython-310/torch/include/pybind11 copying torch/include/pybind11/options.h -> build/lib.linux-x86_64-cpython-310/torch/include/pybind11 copying torch/include/pybind11/iostream.h -> build/lib.linux-x86_64-cpython-310/torch/include/pybind11 copying torch/include/pybind11/stl.h -> build/lib.linux-x86_64-cpython-310/torch/include/pybind11 copying torch/include/pybind11/attr.h -> build/lib.linux-x86_64-cpython-310/torch/include/pybind11 copying torch/include/pybind11/chrono.h -> build/lib.linux-x86_64-cpython-310/torch/include/pybind11 copying torch/include/pybind11/pybind11.h -> build/lib.linux-x86_64-cpython-310/torch/include/pybind11 copying torch/include/pybind11/gil.h -> build/lib.linux-x86_64-cpython-310/torch/include/pybind11 copying torch/include/pybind11/pytypes.h -> build/lib.linux-x86_64-cpython-310/torch/include/pybind11 copying torch/include/pybind11/embed.h -> build/lib.linux-x86_64-cpython-310/torch/include/pybind11 copying torch/include/pybind11/numpy.h -> build/lib.linux-x86_64-cpython-310/torch/include/pybind11 creating build/lib.linux-x86_64-cpython-310/torch/include/pybind11/detail copying torch/include/pybind11/detail/common.h -> build/lib.linux-x86_64-cpython-310/torch/include/pybind11/detail copying torch/include/pybind11/detail/init.h -> build/lib.linux-x86_64-cpython-310/torch/include/pybind11/detail copying torch/include/pybind11/detail/typeid.h -> build/lib.linux-x86_64-cpython-310/torch/include/pybind11/detail copying torch/include/pybind11/detail/type_caster_base.h -> build/lib.linux-x86_64-cpython-310/torch/include/pybind11/detail copying torch/include/pybind11/detail/internals.h -> build/lib.linux-x86_64-cpython-310/torch/include/pybind11/detail copying torch/include/pybind11/detail/class.h -> build/lib.linux-x86_64-cpython-310/torch/include/pybind11/detail copying torch/include/pybind11/detail/descr.h -> build/lib.linux-x86_64-cpython-310/torch/include/pybind11/detail creating build/lib.linux-x86_64-cpython-310/torch/include/THC copying torch/include/THC/THCAtomics.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/THC copying torch/include/THC/THCDeviceUtils.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/THC copying torch/_inductor/codegen/cpp_prefix.h -> build/lib.linux-x86_64-cpython-310/torch/_inductor/codegen creating build/lib.linux-x86_64-cpython-310/torch/share creating build/lib.linux-x86_64-cpython-310/torch/share/cmake creating build/lib.linux-x86_64-cpython-310/torch/share/cmake/ATen copying torch/share/cmake/ATen/ATenConfig.cmake -> build/lib.linux-x86_64-cpython-310/torch/share/cmake/ATen creating build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2 copying torch/share/cmake/Caffe2/Caffe2ConfigVersion.cmake -> build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2 copying torch/share/cmake/Caffe2/Caffe2Config.cmake -> build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2 copying torch/share/cmake/Caffe2/Caffe2Targets.cmake -> build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2 copying torch/share/cmake/Caffe2/Caffe2Targets-release.cmake -> build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2 creating build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/public copying torch/share/cmake/Caffe2/public/cuda.cmake -> build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/public copying torch/share/cmake/Caffe2/public/glog.cmake -> build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/public copying torch/share/cmake/Caffe2/public/gflags.cmake -> build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/public copying torch/share/cmake/Caffe2/public/mkl.cmake -> build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/public copying torch/share/cmake/Caffe2/public/mkldnn.cmake -> build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/public copying torch/share/cmake/Caffe2/public/protobuf.cmake -> build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/public copying torch/share/cmake/Caffe2/public/utils.cmake -> build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/public copying torch/share/cmake/Caffe2/public/LoadHIP.cmake -> build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/public creating build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/Modules_CUDA_fix copying torch/share/cmake/Caffe2/Modules_CUDA_fix/FindCUDA.cmake -> build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/Modules_CUDA_fix copying torch/share/cmake/Caffe2/Modules_CUDA_fix/FindCUDNN.cmake -> build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/Modules_CUDA_fix creating build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream copying torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/CMakeInitializeConfigs.cmake -> build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream copying torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindCUDA.cmake -> build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream copying torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindPackageMessage.cmake -> build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream copying torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindPackageHandleStandardArgs.cmake -> build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream creating build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindCUDA copying torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindCUDA/run_nvcc.cmake -> build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindCUDA copying torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindCUDA/make2cmake.cmake -> build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindCUDA copying torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindCUDA/select_compute_arch.cmake -> build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindCUDA copying torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindCUDA/parse_cubin.cmake -> build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindCUDA creating build/lib.linux-x86_64-cpython-310/torch/share/cmake/Tensorpipe copying torch/share/cmake/Tensorpipe/TensorpipeTargets.cmake -> build/lib.linux-x86_64-cpython-310/torch/share/cmake/Tensorpipe copying torch/share/cmake/Tensorpipe/TensorpipeTargets-release.cmake -> build/lib.linux-x86_64-cpython-310/torch/share/cmake/Tensorpipe creating build/lib.linux-x86_64-cpython-310/torch/share/cmake/Torch copying torch/share/cmake/Torch/TorchConfigVersion.cmake -> build/lib.linux-x86_64-cpython-310/torch/share/cmake/Torch copying torch/share/cmake/Torch/TorchConfig.cmake -> build/lib.linux-x86_64-cpython-310/torch/share/cmake/Torch copying torch/utils/benchmark/utils/timeit_template.cpp -> build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/utils copying torch/utils/benchmark/utils/valgrind_wrapper/compat_bindings.cpp -> build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/utils/valgrind_wrapper copying torch/utils/benchmark/utils/valgrind_wrapper/timer_callgrind_template.cpp -> build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/utils/valgrind_wrapper copying torch/utils/benchmark/utils/valgrind_wrapper/callgrind.h -> build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/utils/valgrind_wrapper copying torch/utils/benchmark/utils/valgrind_wrapper/valgrind.h -> build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/utils/valgrind_wrapper copying torch/utils/model_dump/skeleton.html -> build/lib.linux-x86_64-cpython-310/torch/utils/model_dump copying torch/utils/model_dump/code.js -> build/lib.linux-x86_64-cpython-310/torch/utils/model_dump copying torch/utils/model_dump/preact.mjs -> build/lib.linux-x86_64-cpython-310/torch/utils/model_dump copying torch/utils/model_dump/htm.mjs -> build/lib.linux-x86_64-cpython-310/torch/utils/model_dump creating build/lib.linux-x86_64-cpython-310/torchgen/packaged creating build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen creating build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/native copying torchgen/packaged/ATen/native/native_functions.yaml -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/native copying torchgen/packaged/ATen/native/tags.yaml -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/native creating build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates copying torchgen/packaged/ATen/templates/DispatchKeyFunctions_inl.h -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates copying torchgen/packaged/ATen/templates/UfuncCUDA.cu -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates copying torchgen/packaged/ATen/templates/Functions.h -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates copying torchgen/packaged/ATen/templates/RegisterDispatchDefinitions.ini -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates copying torchgen/packaged/ATen/templates/LazyIr.h -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates copying torchgen/packaged/ATen/templates/ATenOpList.cpp -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates copying torchgen/packaged/ATen/templates/CompositeViewCopyKernels.cpp -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates copying torchgen/packaged/ATen/templates/RedispatchFunctions.h -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates copying torchgen/packaged/ATen/templates/UfuncCPUKernel.cpp -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates copying torchgen/packaged/ATen/templates/Operators.h -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates copying torchgen/packaged/ATen/templates/MethodOperators.h -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates copying torchgen/packaged/ATen/templates/RegistrationDeclarations.h -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates copying torchgen/packaged/ATen/templates/RegisterCodegenUnboxedKernels.cpp -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates copying torchgen/packaged/ATen/templates/TensorMethods.cpp -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates copying torchgen/packaged/ATen/templates/DispatchKeyFunction.h -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates copying torchgen/packaged/ATen/templates/Functions.cpp -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates copying torchgen/packaged/ATen/templates/FunctionalInverses.h -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates copying torchgen/packaged/ATen/templates/UfuncCPU.cpp -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates copying torchgen/packaged/ATen/templates/NativeFunction.h -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates copying torchgen/packaged/ATen/templates/NativeMetaFunctions.h -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates copying torchgen/packaged/ATen/templates/UnboxingFunctions.cpp -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates copying torchgen/packaged/ATen/templates/Function.h -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates copying torchgen/packaged/ATen/templates/NativeMetaFunction.h -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates copying torchgen/packaged/ATen/templates/RegisterFunctionalization.cpp -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates copying torchgen/packaged/ATen/templates/NativeFunctions.h -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates copying torchgen/packaged/ATen/templates/RegisterSchema.cpp -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates copying torchgen/packaged/ATen/templates/RedispatchFunctions.cpp -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates copying torchgen/packaged/ATen/templates/DispatchKeyNativeFunctions.h -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates copying torchgen/packaged/ATen/templates/DispatchKeyFunctions.h -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates copying torchgen/packaged/ATen/templates/LazyNonNativeIr.h -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates copying torchgen/packaged/ATen/templates/enum_tag.h -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates copying torchgen/packaged/ATen/templates/UnboxingFunctions.h -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates copying torchgen/packaged/ATen/templates/RegisterDispatchKey.cpp -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates copying torchgen/packaged/ATen/templates/aten_interned_strings.h -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates copying torchgen/packaged/ATen/templates/Operator.h -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates copying torchgen/packaged/ATen/templates/TensorBody.h -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates copying torchgen/packaged/ATen/templates/RegisterBackendSelect.cpp -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates copying torchgen/packaged/ATen/templates/Operators.cpp -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates copying torchgen/packaged/ATen/templates/DispatchKeyNativeFunctions.cpp -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates running build_ext -- Building with NumPy bindings -- Detected cuDNN at , -- Detected CUDA at /usr/local/cuda -- Using MKLDNN -- Not using Compute Library for the Arm architecture with MKLDNN -- Not using CBLAS in MKLDNN -- Building NCCL library -- Building with distributed package: -- USE_TENSORPIPE=True -- USE_GLOO=True -- USE_MPI=False -- Building Executorch -- Using ITT -- Building nvfuser Copying functorch._C from functorch/functorch.so to /builddir/build/BUILD/pytorch-v2.0.1/build/lib.linux-x86_64-cpython-310/functorch/_C.cpython-310-x86_64-linux-gnu.so copying functorch/functorch.so -> /builddir/build/BUILD/pytorch-v2.0.1/build/lib.linux-x86_64-cpython-310/functorch/_C.cpython-310-x86_64-linux-gnu.so Copying nvfuser._C from nvfuser/nvfuser.so to /builddir/build/BUILD/pytorch-v2.0.1/build/lib.linux-x86_64-cpython-310/nvfuser/_C.cpython-310-x86_64-linux-gnu.so copying nvfuser/nvfuser.so -> /builddir/build/BUILD/pytorch-v2.0.1/build/lib.linux-x86_64-cpython-310/nvfuser/_C.cpython-310-x86_64-linux-gnu.so building 'torch._C' extension creating build/temp.linux-x86_64-cpython-310 creating build/temp.linux-x86_64-cpython-310/torch creating build/temp.linux-x86_64-cpython-310/torch/csrc gcc -Wno-unused-result -Wsign-compare -DNDEBUG -O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -fstack-protector-strong -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -D_GNU_SOURCE -fPIC -fwrapv -O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -fstack-protector-strong -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -D_GNU_SOURCE -fPIC -fwrapv -O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -fstack-protector-strong -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -D_GNU_SOURCE -fPIC -fwrapv -O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -Wno-maybe-uninitialized -Wno-uninitialized -Wno-free-nonheap-object -Wno-restrict -fPIC -I/usr/include/python3.10 -c torch/csrc/stub.c -o build/temp.linux-x86_64-cpython-310/torch/csrc/stub.o -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-braces gcc -shared -Wl,-z,relro -Wl,--as-needed -Wl,-z,now -Wl,--build-id=sha1 -g -Wl,-z,relro -Wl,--as-needed -Wl,-z,now -Wl,--build-id=sha1 -g -Wl,-z,relro -Wl,--as-needed -Wl,--build-id=sha1 -O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -Wno-maybe-uninitialized -Wno-uninitialized -Wno-free-nonheap-object -Wno-restrict build/temp.linux-x86_64-cpython-310/torch/csrc/stub.o -L/builddir/build/BUILD/pytorch-v2.0.1/torch/lib -L/usr/local/cuda/lib64/stubs -L/usr/lib64 -ltorch_python -lpython3.10 -o build/lib.linux-x86_64-cpython-310/torch/_C.cpython-310-x86_64-linux-gnu.so -Wl,-rpath,$ORIGIN/lib building 'torch._C_flatbuffer' extension gcc -Wno-unused-result -Wsign-compare -DNDEBUG -O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -fstack-protector-strong -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -D_GNU_SOURCE -fPIC -fwrapv -O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -fstack-protector-strong -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -D_GNU_SOURCE -fPIC -fwrapv -O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -fstack-protector-strong -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -D_GNU_SOURCE -fPIC -fwrapv -O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -Wno-maybe-uninitialized -Wno-uninitialized -Wno-free-nonheap-object -Wno-restrict -fPIC -I/usr/include/python3.10 -c torch/csrc/stub_with_flatbuffer.c -o build/temp.linux-x86_64-cpython-310/torch/csrc/stub_with_flatbuffer.o -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-braces gcc -shared -Wl,-z,relro -Wl,--as-needed -Wl,-z,now -Wl,--build-id=sha1 -g -Wl,-z,relro -Wl,--as-needed -Wl,-z,now -Wl,--build-id=sha1 -g -Wl,-z,relro -Wl,--as-needed -Wl,--build-id=sha1 -O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -Wno-maybe-uninitialized -Wno-uninitialized -Wno-free-nonheap-object -Wno-restrict build/temp.linux-x86_64-cpython-310/torch/csrc/stub_with_flatbuffer.o -L/builddir/build/BUILD/pytorch-v2.0.1/torch/lib -L/usr/local/cuda/lib64/stubs -L/usr/lib64 -ltorch_python -lpython3.10 -o build/lib.linux-x86_64-cpython-310/torch/_C_flatbuffer.cpython-310-x86_64-linux-gnu.so -Wl,-rpath,$ORIGIN/lib ------------------------------------------------------------------------- | | | It is no longer necessary to use the 'build' or 'rebuild' targets | | | | To install: | | $ python setup.py install | | To develop locally: | | $ python setup.py develop | | To force cmake to re-generate native build files (off by default): | | $ python setup.py develop --cmake | | | ------------------------------------------------------------------------- + RPM_EC=0 ++ jobs -p + exit 0 Executing(%install): /bin/sh -e /var/tmp/rpm-tmp.Cw4GyT + umask 022 + cd /builddir/build/BUILD + '[' /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64 '!=' / ']' + rm -rf /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64 ++ dirname /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64 + mkdir -p /builddir/build/BUILDROOT + mkdir /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64 + CFLAGS='-O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection' + export CFLAGS + CXXFLAGS='-O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection' + export CXXFLAGS + FFLAGS='-O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -I/usr/lib64/gfortran/modules' + export FFLAGS + FCFLAGS='-O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -I/usr/lib64/gfortran/modules' + export FCFLAGS + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,--build-id=sha1 ' + export LDFLAGS + LT_SYS_LIBRARY_PATH=/usr/lib64: + export LT_SYS_LIBRARY_PATH + CC=gcc + export CC + CXX=g++ + export CXX + cd pytorch-v2.0.1 + export BUILD_TEST=False + BUILD_TEST=False + export PYTORCH_BUILD_VERSION=2.0.1 + PYTORCH_BUILD_VERSION=2.0.1 + export PYTORCH_BUILD_NUMBER=1 + PYTORCH_BUILD_NUMBER=1 + export CUDAARCHS=all + CUDAARCHS=all + export CMAKE_CUDA_COMPILER=/usr/local/cuda-12.1/bin/nvcc + CMAKE_CUDA_COMPILER=/usr/local/cuda-12.1/bin/nvcc + export 'TORCH_CUDA_ARCH_LIST=6.0;6.1;7.0;7.5;8.0;8.6' + TORCH_CUDA_ARCH_LIST='6.0;6.1;7.0;7.5;8.0;8.6' + export 'CFLAGS=-O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -Wno-maybe-uninitialized -Wno-uninitialized -Wno-free-nonheap-object -Wno-restrict' + CFLAGS='-O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -Wno-maybe-uninitialized -Wno-uninitialized -Wno-free-nonheap-object -Wno-restrict' + export 'CXXFLAGS=-O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -Wno-maybe-uninitialized -Wno-uninitialized -Wno-free-nonheap-object -Wno-restrict' + CXXFLAGS='-O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -Wno-maybe-uninitialized -Wno-uninitialized -Wno-free-nonheap-object -Wno-restrict' + mkdir /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr + python3 setup.py install --prefix /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr -- /usr/bin/g++ /builddir/build/BUILD/pytorch-v2.0.1/torch/abi-check.cpp -o /builddir/build/BUILD/pytorch-v2.0.1/build/abi-check -- Determined _GLIBCXX_USE_CXX11_ABI=1 -- Could not find ccache. Consider installing ccache to speed up compilation. -- Turning off deprecation warning due to glog. -- Current compiler supports avx2 extension. Will build perfkernels. -- Current compiler supports avx512f extension. Will build fbgemm. -- Found CUDA: /usr/local/cuda (found version "12.1") -- Caffe2: CUDA detected: 12.1 -- Caffe2: CUDA nvcc is: /usr/local/cuda-12.1/bin/nvcc -- Caffe2: CUDA toolkit directory: /usr/local/cuda -- Caffe2: Header version is: 12.1 -- /usr/local/cuda/lib64/libnvrtc.so shorthash is b51b459d CMake Warning at cmake/public/utils.cmake:385 (message): In the future we will require one to explicitly pass TORCH_CUDA_ARCH_LIST to cmake instead of implicitly setting it as an env variable. This will become a FATAL_ERROR in future version of pytorch. Call Stack (most recent call first): cmake/public/cuda.cmake:362 (torch_cuda_get_nvcc_gencode_flag) cmake/Dependencies.cmake:43 (include) CMakeLists.txt:717 (include) -- Added CUDA NVCC flags for: -gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86 -- Building using own protobuf under third_party per request. -- Use custom protobuf build. -- -- 3.13.0.0 -- Caffe2 protobuf include directory: $$ -- Trying to find preferred BLAS backend of choice: MKL -- MKL_THREADING = OMP -- MKL_THREADING = OMP CMake Warning at cmake/Dependencies.cmake:226 (message): MKL could not be found. Defaulting to Eigen Call Stack (most recent call first): CMakeLists.txt:717 (include) CMake Warning at cmake/Dependencies.cmake:263 (message): Preferred BLAS (MKL) cannot be found, now searching for a general BLAS library Call Stack (most recent call first): CMakeLists.txt:717 (include) -- MKL_THREADING = OMP -- Checking for [mkl_intel_lp64 - mkl_gnu_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel_lp64 - mkl_intel_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_gnu_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_intel - mkl_intel_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_gnu_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf_lp64 - mkl_intel_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_gnu_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_gf - mkl_intel_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_gnu_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel_lp64 - mkl_intel_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_gnu_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_intel - mkl_intel_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_gnu_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf_lp64 - mkl_intel_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_gnu_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_gf - mkl_intel_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_gnu_thread - mkl_core - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel_lp64 - mkl_intel_thread - mkl_core - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_gnu_thread - mkl_core - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_intel - mkl_intel_thread - mkl_core - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_gnu_thread - mkl_core - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf_lp64 - mkl_intel_thread - mkl_core - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_gnu_thread - mkl_core - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_gf - mkl_intel_thread - mkl_core - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_sequential - mkl_core - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_sequential - mkl_core - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_sequential - mkl_core - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_sequential - mkl_core - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_core - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_core - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_core - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_core - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl - guide - pthread - m] -- Library mkl: not found -- MKL library not found -- Checking for [blis] -- Library blis: BLAS_blis_LIBRARY-NOTFOUND -- Checking for [Accelerate] -- Library Accelerate: BLAS_Accelerate_LIBRARY-NOTFOUND -- Checking for [vecLib] -- Library vecLib: BLAS_vecLib_LIBRARY-NOTFOUND -- Checking for [flexiblas] -- Library flexiblas: BLAS_flexiblas_LIBRARY-NOTFOUND -- Checking for [openblas] -- Library openblas: BLAS_openblas_LIBRARY-NOTFOUND -- Checking for [openblas - pthread - m] -- Library openblas: BLAS_openblas_LIBRARY-NOTFOUND -- Checking for [openblas - pthread - m - gomp] -- Library openblas: BLAS_openblas_LIBRARY-NOTFOUND -- Checking for [goto2 - gfortran] -- Library goto2: BLAS_goto2_LIBRARY-NOTFOUND -- Checking for [goto2 - gfortran - pthread] -- Library goto2: BLAS_goto2_LIBRARY-NOTFOUND -- Checking for [acml - gfortran] -- Library acml: BLAS_acml_LIBRARY-NOTFOUND -- Checking for [blis] -- Library blis: BLAS_blis_LIBRARY-NOTFOUND -- Could NOT find Atlas (missing: Atlas_CBLAS_INCLUDE_DIR Atlas_CLAPACK_INCLUDE_DIR Atlas_CBLAS_LIBRARY Atlas_BLAS_LIBRARY Atlas_LAPACK_LIBRARY) -- Checking for [ptf77blas - atlas - gfortran] -- Library ptf77blas: BLAS_ptf77blas_LIBRARY-NOTFOUND -- Checking for [] -- Cannot find a library with BLAS API. Not using BLAS. -- Using pocketfft in directory: /builddir/build/BUILD/pytorch-v2.0.1/third_party/pocketfft/ -- Brace yourself, we are building NNPACK -- NNPACK backend is x86-64 CMake Warning (dev) at /usr/share/cmake/Modules/FindPackageHandleStandardArgs.cmake:438 (message): The package name passed to `find_package_handle_standard_args` (OpenMP_C) does not match the name of the calling package (OpenMP). This can lead to problems in calling code that expects `find_package` result variables (e.g., `_FOUND`) to follow a certain pattern. Call Stack (most recent call first): cmake/Modules/FindOpenMP.cmake:584 (find_package_handle_standard_args) third_party/fbgemm/CMakeLists.txt:85 (find_package) This warning is for project developers. Use -Wno-dev to suppress it. -- Found OpenMP_C: -fopenmp CMake Warning (dev) at /usr/share/cmake/Modules/FindPackageHandleStandardArgs.cmake:438 (message): The package name passed to `find_package_handle_standard_args` (OpenMP_CXX) does not match the name of the calling package (OpenMP). This can lead to problems in calling code that expects `find_package` result variables (e.g., `_FOUND`) to follow a certain pattern. Call Stack (most recent call first): cmake/Modules/FindOpenMP.cmake:584 (find_package_handle_standard_args) third_party/fbgemm/CMakeLists.txt:85 (find_package) This warning is for project developers. Use -Wno-dev to suppress it. -- Found OpenMP_CXX: -fopenmp -- Found OpenMP: TRUE CMake Warning at third_party/fbgemm/CMakeLists.txt:87 (message): OpenMP found! OpenMP_C_INCLUDE_DIRS = -- Found Numa (include: /usr/include, library: /usr/lib64/libnuma.so) CMake Warning at third_party/fbgemm/CMakeLists.txt:186 (message): ========== CMake Warning at third_party/fbgemm/CMakeLists.txt:187 (message): CMAKE_BUILD_TYPE = Release CMake Warning at third_party/fbgemm/CMakeLists.txt:188 (message): CMAKE_CXX_FLAGS_DEBUG is -g CMake Warning at third_party/fbgemm/CMakeLists.txt:189 (message): CMAKE_CXX_FLAGS_RELEASE is -O3 -DNDEBUG CMake Warning at third_party/fbgemm/CMakeLists.txt:190 (message): ========== ** AsmJit Summary ** ASMJIT_DIR=/builddir/build/BUILD/pytorch-v2.0.1/third_party/fbgemm/third_party/asmjit ASMJIT_TEST=FALSE ASMJIT_TARGET_TYPE=STATIC ASMJIT_DEPS=pthread;rt ASMJIT_LIBS=asmjit;pthread;rt ASMJIT_CFLAGS=-DASMJIT_STATIC ASMJIT_PRIVATE_CFLAGS=-Wall;-Wextra;-Wconversion;-fno-math-errno;-fno-threadsafe-statics;-fno-semantic-interposition;-DASMJIT_STATIC ASMJIT_PRIVATE_CFLAGS_DBG= ASMJIT_PRIVATE_CFLAGS_REL=-O2;-fmerge-all-constants;-fno-enforce-eh-specs -- Using third party subdirectory Eigen. -- Found PythonInterp: /usr/bin/python3 (found suitable version "3.10.13", minimum required is "3.0") -- Using third_party/pybind11. -- pybind11 include dirs: /builddir/build/BUILD/pytorch-v2.0.1/cmake/../third_party/pybind11/include -- Adding OpenMP CXX_FLAGS: -fopenmp -- Will link against OpenMP libraries: /usr/lib/gcc/x86_64-anolis-linux/12/libgomp.so;/usr/lib64/libpthread.a CMake Warning at cmake/External/nccl.cmake:69 (message): Enabling NCCL library slimming Call Stack (most recent call first): cmake/Dependencies.cmake:1357 (include) CMakeLists.txt:717 (include) -- Converting CMAKE_CUDA_FLAGS to CUDA_NVCC_FLAGS: CUDA_NVCC_FLAGS = -Xfatbin;-compress-all;-DONNX_NAMESPACE=onnx_torch;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-Xcudafe;--diag_suppress=cc_clobber_ignored,--diag_suppress=integer_sign_change,--diag_suppress=useless_using_declaration,--diag_suppress=set_but_not_used,--diag_suppress=field_without_dll_interface,--diag_suppress=base_class_has_different_dll_interface,--diag_suppress=dll_interface_conflict_none_assumed,--diag_suppress=dll_interface_conflict_dllexport_assumed,--diag_suppress=implicit_return_from_non_void_function,--diag_suppress=unsigned_compare_with_zero,--diag_suppress=declared_but_not_referenced,--diag_suppress=bad_friend_decl;--expt-relaxed-constexpr;--expt-extended-lambda CUDA_NVCC_FLAGS_DEBUG = -g;-g;-lineinfo;--source-in-ptx CUDA_NVCC_FLAGS_RELEASE = -O3;-DNDEBUG CUDA_NVCC_FLAGS_RELWITHDEBINFO = -O2;-g;-DNDEBUG;-g;-lineinfo;--source-in-ptx CUDA_NVCC_FLAGS_MINSIZEREL = -O1;-DNDEBUG -- summary of build options: Install prefix: /builddir/build/BUILD/pytorch-v2.0.1/torch Target system: Linux Compiler: C compiler: /usr/bin/gcc CFLAGS: -O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -Wno-maybe-uninitialized -Wno-uninitialized -Wno-free-nonheap-object -Wno-restrict -- Converting CMAKE_CUDA_FLAGS to CUDA_NVCC_FLAGS: CUDA_NVCC_FLAGS = -Xfatbin;-compress-all;-DONNX_NAMESPACE=onnx_torch;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-Xcudafe;--diag_suppress=cc_clobber_ignored,--diag_suppress=integer_sign_change,--diag_suppress=useless_using_declaration,--diag_suppress=set_but_not_used,--diag_suppress=field_without_dll_interface,--diag_suppress=base_class_has_different_dll_interface,--diag_suppress=dll_interface_conflict_none_assumed,--diag_suppress=dll_interface_conflict_dllexport_assumed,--diag_suppress=implicit_return_from_non_void_function,--diag_suppress=unsigned_compare_with_zero,--diag_suppress=declared_but_not_referenced,--diag_suppress=bad_friend_decl;--expt-relaxed-constexpr;--expt-extended-lambda CUDA_NVCC_FLAGS_DEBUG = -g;-g;-lineinfo;--source-in-ptx CUDA_NVCC_FLAGS_RELEASE = -O3;-DNDEBUG CUDA_NVCC_FLAGS_RELWITHDEBINFO = -O2;-g;-DNDEBUG;-g;-lineinfo;--source-in-ptx CUDA_NVCC_FLAGS_MINSIZEREL = -O1;-DNDEBUG -- Gloo build as SHARED library -- Found CUDA: /usr/local/cuda (found suitable version "12.1", minimum required is "7.0") -- CUDA detected: 12.1 -- Found PythonInterp: /usr/bin/python3 (found version "3.10.13") Generated: /builddir/build/BUILD/pytorch-v2.0.1/build/third_party/onnx/onnx/onnx_onnx_torch-ml.proto Generated: /builddir/build/BUILD/pytorch-v2.0.1/build/third_party/onnx/onnx/onnx-operators_onnx_torch-ml.proto Generated: /builddir/build/BUILD/pytorch-v2.0.1/build/third_party/onnx/onnx/onnx-data_onnx_torch.proto -- -- ******** Summary ******** -- CMake version : 3.26.3 -- CMake command : /usr/bin/cmake -- System : Linux -- C++ compiler : /usr/bin/g++ -- C++ compiler version : 12.2.1 -- CXX flags : -O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -Wno-maybe-uninitialized -Wno-uninitialized -Wno-free-nonheap-object -Wno-restrict -D_GLIBCXX_USE_CXX11_ABI=1 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -Wnon-virtual-dtor -- Build type : Release -- Compile definitions : ONNX_ML=1;ONNXIFI_ENABLE_EXT=1;__STDC_FORMAT_MACROS -- CMAKE_PREFIX_PATH : /usr/lib/python3.10/site-packages;/usr/local/cuda -- CMAKE_INSTALL_PREFIX : /builddir/build/BUILD/pytorch-v2.0.1/torch -- CMAKE_MODULE_PATH : /builddir/build/BUILD/pytorch-v2.0.1/cmake/Modules;/builddir/build/BUILD/pytorch-v2.0.1/cmake/public/../Modules_CUDA_fix -- -- ONNX version : 1.13.1rc2 -- ONNX NAMESPACE : onnx_torch -- ONNX_USE_LITE_PROTO : OFF -- USE_PROTOBUF_SHARED_LIBS : OFF -- Protobuf_USE_STATIC_LIBS : ON -- ONNX_DISABLE_EXCEPTIONS : OFF -- ONNX_WERROR : OFF -- ONNX_BUILD_TESTS : OFF -- ONNX_BUILD_BENCHMARKS : OFF -- -- Protobuf compiler : -- Protobuf includes : -- Protobuf libraries : -- BUILD_ONNX_PYTHON : OFF -- -- ******** Summary ******** -- CMake version : 3.26.3 -- CMake command : /usr/bin/cmake -- System : Linux -- C++ compiler : /usr/bin/g++ -- C++ compiler version : 12.2.1 -- CXX flags : -O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -Wno-maybe-uninitialized -Wno-uninitialized -Wno-free-nonheap-object -Wno-restrict -D_GLIBCXX_USE_CXX11_ABI=1 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -Wnon-virtual-dtor -- Build type : Release -- Compile definitions : ONNX_ML=1;ONNXIFI_ENABLE_EXT=1 -- CMAKE_PREFIX_PATH : /usr/lib/python3.10/site-packages;/usr/local/cuda -- CMAKE_INSTALL_PREFIX : /builddir/build/BUILD/pytorch-v2.0.1/torch -- CMAKE_MODULE_PATH : /builddir/build/BUILD/pytorch-v2.0.1/cmake/Modules;/builddir/build/BUILD/pytorch-v2.0.1/cmake/public/../Modules_CUDA_fix -- -- ONNX version : 1.4.1 -- ONNX NAMESPACE : onnx_torch -- ONNX_BUILD_TESTS : OFF -- ONNX_BUILD_BENCHMARKS : OFF -- ONNX_USE_LITE_PROTO : OFF -- ONNXIFI_DUMMY_BACKEND : -- -- Protobuf compiler : -- Protobuf includes : -- Protobuf libraries : -- BUILD_ONNX_PYTHON : OFF -- Found CUDA with FP16 support, compiling with torch.cuda.HalfTensor -- Adding -DNDEBUG to compile flags -- Compiling with MAGMA support -- MAGMA INCLUDE DIRECTORIES: /usr/include -- MAGMA LIBRARIES: /usr/lib64/libmagma.so -- MAGMA V2 check: 0 -- Could not find hardware support for NEON on this machine. -- No OMAP3 processor on this machine. -- No OMAP4 processor on this machine. -- MKL_THREADING = OMP -- Checking for [mkl_intel_lp64 - mkl_gnu_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel_lp64 - mkl_intel_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_gnu_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_intel - mkl_intel_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_gnu_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf_lp64 - mkl_intel_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_gnu_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_gf - mkl_intel_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_gnu_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel_lp64 - mkl_intel_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_gnu_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_intel - mkl_intel_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_gnu_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf_lp64 - mkl_intel_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_gnu_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_gf - mkl_intel_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_gnu_thread - mkl_core - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel_lp64 - mkl_intel_thread - mkl_core - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_gnu_thread - mkl_core - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_intel - mkl_intel_thread - mkl_core - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_gnu_thread - mkl_core - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf_lp64 - mkl_intel_thread - mkl_core - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_gnu_thread - mkl_core - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_gf - mkl_intel_thread - mkl_core - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_sequential - mkl_core - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_sequential - mkl_core - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_sequential - mkl_core - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_sequential - mkl_core - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_core - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_core - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_core - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_core - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl - guide - pthread - m] -- Library mkl: not found -- MKL library not found -- Checking for [blis] -- Library blis: BLAS_blis_LIBRARY-NOTFOUND -- Checking for [Accelerate] -- Library Accelerate: BLAS_Accelerate_LIBRARY-NOTFOUND -- Checking for [vecLib] -- Library vecLib: BLAS_vecLib_LIBRARY-NOTFOUND -- Checking for [flexiblas] -- Library flexiblas: BLAS_flexiblas_LIBRARY-NOTFOUND -- Checking for [openblas] -- Library openblas: BLAS_openblas_LIBRARY-NOTFOUND -- Checking for [openblas - pthread - m] -- Library openblas: BLAS_openblas_LIBRARY-NOTFOUND -- Checking for [openblas - pthread - m - gomp] -- Library openblas: BLAS_openblas_LIBRARY-NOTFOUND -- Checking for [goto2 - gfortran] -- Library goto2: BLAS_goto2_LIBRARY-NOTFOUND -- Checking for [goto2 - gfortran - pthread] -- Library goto2: BLAS_goto2_LIBRARY-NOTFOUND -- Checking for [acml - gfortran] -- Library acml: BLAS_acml_LIBRARY-NOTFOUND -- Checking for [blis] -- Library blis: BLAS_blis_LIBRARY-NOTFOUND -- Could NOT find Atlas (missing: Atlas_CBLAS_INCLUDE_DIR Atlas_CLAPACK_INCLUDE_DIR Atlas_CBLAS_LIBRARY Atlas_BLAS_LIBRARY Atlas_LAPACK_LIBRARY) -- Checking for [ptf77blas - atlas - gfortran] -- Library ptf77blas: BLAS_ptf77blas_LIBRARY-NOTFOUND -- Checking for [] -- Cannot find a library with BLAS API. Not using BLAS. -- LAPACK requires BLAS -- Cannot find a library with LAPACK API. Not using LAPACK. -- MIOpen not found. Compiling without MIOpen support disabling ROCM because NOT USE_ROCM is set -- Will build oneDNN Graph -- MKL_THREADING = OMP -- Checking for [mkl_intel_lp64 - mkl_gnu_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel_lp64 - mkl_intel_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_gnu_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_intel - mkl_intel_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_gnu_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf_lp64 - mkl_intel_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_gnu_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_gf - mkl_intel_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_gnu_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel_lp64 - mkl_intel_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_gnu_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_intel - mkl_intel_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_gnu_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf_lp64 - mkl_intel_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_gnu_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_gf - mkl_intel_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_gnu_thread - mkl_core - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel_lp64 - mkl_intel_thread - mkl_core - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_gnu_thread - mkl_core - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_intel - mkl_intel_thread - mkl_core - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_gnu_thread - mkl_core - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf_lp64 - mkl_intel_thread - mkl_core - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_gnu_thread - mkl_core - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_gf - mkl_intel_thread - mkl_core - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_sequential - mkl_core - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_sequential - mkl_core - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_sequential - mkl_core - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_sequential - mkl_core - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_core - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_core - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_core - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_core - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl - guide - pthread - m] -- Library mkl: not found -- MKL library not found -- Checking for [blis] -- Library blis: BLAS_blis_LIBRARY-NOTFOUND -- Checking for [Accelerate] -- Library Accelerate: BLAS_Accelerate_LIBRARY-NOTFOUND -- Checking for [vecLib] -- Library vecLib: BLAS_vecLib_LIBRARY-NOTFOUND -- Checking for [flexiblas] -- Library flexiblas: BLAS_flexiblas_LIBRARY-NOTFOUND -- Checking for [openblas] -- Library openblas: BLAS_openblas_LIBRARY-NOTFOUND -- Checking for [openblas - pthread - m] -- Library openblas: BLAS_openblas_LIBRARY-NOTFOUND -- Checking for [openblas - pthread - m - gomp] -- Library openblas: BLAS_openblas_LIBRARY-NOTFOUND -- Checking for [goto2 - gfortran] -- Library goto2: BLAS_goto2_LIBRARY-NOTFOUND -- Checking for [goto2 - gfortran - pthread] -- Library goto2: BLAS_goto2_LIBRARY-NOTFOUND -- Checking for [acml - gfortran] -- Library acml: BLAS_acml_LIBRARY-NOTFOUND -- Checking for [blis] -- Library blis: BLAS_blis_LIBRARY-NOTFOUND -- Could NOT find Atlas (missing: Atlas_CBLAS_INCLUDE_DIR Atlas_CLAPACK_INCLUDE_DIR Atlas_CBLAS_LIBRARY Atlas_BLAS_LIBRARY Atlas_LAPACK_LIBRARY) -- Checking for [ptf77blas - atlas - gfortran] -- Library ptf77blas: BLAS_ptf77blas_LIBRARY-NOTFOUND -- Checking for [] -- Cannot find a library with BLAS API. Not using BLAS. -- MKLDNN_CPU_RUNTIME = OMP -- cmake version: 3.26.3 CMake Deprecation Warning at third_party/ideep/mkl-dnn/CMakeLists.txt:36 (cmake_policy): The OLD behavior for policy CMP0025 will be removed from a future version of CMake. The cmake-policies(7) manual explains that the OLD behaviors of all policies are deprecated and that a policy should be set to OLD only under specific short-term circumstances. Projects should be ported to the NEW behavior and not rely on setting a policy to OLD. -- DNNL_TARGET_ARCH: X64 -- DNNL_LIBRARY_NAME: dnnl -- Found OpenMP_C: -fopenmp -- Found OpenMP_CXX: -fopenmp CMake Warning (dev) at /usr/share/cmake/Modules/FindPackageHandleStandardArgs.cmake:438 (message): The package name passed to `find_package_handle_standard_args` (OpenMP_C) does not match the name of the calling package (OpenMP). This can lead to problems in calling code that expects `find_package` result variables (e.g., `_FOUND`) to follow a certain pattern. Call Stack (most recent call first): cmake/Modules/FindOpenMP.cmake:584 (find_package_handle_standard_args) third_party/ideep/mkl-dnn/third_party/oneDNN/cmake/OpenMP.cmake:69 (find_package) third_party/ideep/mkl-dnn/third_party/oneDNN/CMakeLists.txt:117 (include) This warning is for project developers. Use -Wno-dev to suppress it. CMake Warning (dev) at /usr/share/cmake/Modules/FindPackageHandleStandardArgs.cmake:438 (message): The package name passed to `find_package_handle_standard_args` (OpenMP_CXX) does not match the name of the calling package (OpenMP). This can lead to problems in calling code that expects `find_package` result variables (e.g., `_FOUND`) to follow a certain pattern. Call Stack (most recent call first): cmake/Modules/FindOpenMP.cmake:584 (find_package_handle_standard_args) third_party/ideep/mkl-dnn/third_party/oneDNN/cmake/OpenMP.cmake:69 (find_package) third_party/ideep/mkl-dnn/third_party/oneDNN/CMakeLists.txt:117 (include) This warning is for project developers. Use -Wno-dev to suppress it. -- Could NOT find Doxyrest (missing: DOXYREST_EXECUTABLE) -- Found PythonInterp: /usr/bin/python3 (found suitable version "3.10.13", minimum required is "2.7") -- Could NOT find Sphinx (missing: SPHINX_EXECUTABLE) -- Could NOT find Git (missing: GIT_EXECUTABLE) -- Enabled workload: TRAINING -- Enabled primitives: ALL -- Enabled primitive CPU ISA: ALL -- Enabled primitive GPU ISA: ALL -- Primitive cache is enabled -- Could NOT find Doxygen (missing: DOXYGEN_EXECUTABLE) -- Cannot find Doxygen package -- Could NOT find Git (missing: GIT_EXECUTABLE) CMake Warning (dev) at /usr/share/cmake/Modules/FindPackageHandleStandardArgs.cmake:438 (message): The package name passed to `find_package_handle_standard_args` (OpenMP_C) does not match the name of the calling package (OpenMP). This can lead to problems in calling code that expects `find_package` result variables (e.g., `_FOUND`) to follow a certain pattern. Call Stack (most recent call first): cmake/Modules/FindOpenMP.cmake:584 (find_package_handle_standard_args) third_party/ideep/mkl-dnn/cmake/OpenMP.cmake:62 (find_package) third_party/ideep/mkl-dnn/CMakeLists.txt:179 (include) This warning is for project developers. Use -Wno-dev to suppress it. CMake Warning (dev) at /usr/share/cmake/Modules/FindPackageHandleStandardArgs.cmake:438 (message): The package name passed to `find_package_handle_standard_args` (OpenMP_CXX) does not match the name of the calling package (OpenMP). This can lead to problems in calling code that expects `find_package` result variables (e.g., `_FOUND`) to follow a certain pattern. Call Stack (most recent call first): cmake/Modules/FindOpenMP.cmake:584 (find_package_handle_standard_args) third_party/ideep/mkl-dnn/cmake/OpenMP.cmake:62 (find_package) third_party/ideep/mkl-dnn/CMakeLists.txt:179 (include) This warning is for project developers. Use -Wno-dev to suppress it. -- DNNL_GRAPH_BUILD_FOR_CI is set to be OFF -- Compiling oneDNN Graph with CPU runtime OMP support -- Compiling oneDNN Graph with GPU runtime NONE support -- Graph compiler backend is disabled. -- Set version definitions to /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/src/utils/verbose.cpp -- Compiled partition cache is enabled -- Found MKL-DNN: TRUE -- Module support is disabled. -- Version: 9.1.0 -- Build type: Release -- CXX_STANDARD: 17 -- Required features: cxx_variadic_templates -- Using Kineto with CUPTI support -- Configuring Kineto dependency: -- KINETO_SOURCE_DIR = /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto -- KINETO_BUILD_TESTS = OFF -- KINETO_LIBRARY_TYPE = static -- CUDA_SOURCE_DIR = /usr/local/cuda -- CUDA_INCLUDE_DIRS = /usr/local/cuda/include -- CUPTI_INCLUDE_DIR = /usr/local/cuda/include -- CUDA_cupti_LIBRARY = /usr/local/cuda/lib64/libcupti.so -- Found CUPTI -- Found PythonInterp: /usr/bin/python3 (found version "3.10.13") INFO ROCM_SOURCE_DIR = -- Kineto: FMT_SOURCE_DIR = /builddir/build/BUILD/pytorch-v2.0.1/third_party/fmt -- Kineto: FMT_INCLUDE_DIR = /builddir/build/BUILD/pytorch-v2.0.1/third_party/fmt/include -- Configured Kineto -- GCC 12.2.1: Adding gcc and gcc_s libs to link line INFO CUPTI_INCLUDE_DIR = /usr/local/cuda/include INFO ROCTRACER_INCLUDE_DIR = /include/roctracer INFO DYNOLOG_INCLUDE_DIR = /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/ INFO IPCFABRIC_INCLUDE_DIR = /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog//dynolog/src/ipcfabric/ -- NUMA paths: -- /usr/include -- /usr/lib64/libnuma.so -- headers outputs: -- sources outputs: -- declarations_yaml outputs: -- Using ATen parallel backend: OMP CMake Deprecation Warning at third_party/sleef/CMakeLists.txt:91 (cmake_policy): The OLD behavior for policy CMP0066 will be removed from a future version of CMake. The cmake-policies(7) manual explains that the OLD behaviors of all policies are deprecated and that a policy should be set to OLD only under specific short-term circumstances. Projects should be ported to the NEW behavior and not rely on setting a policy to OLD. -- Could NOT find OpenSSL, try to set the path to OpenSSL root folder in the system variable OPENSSL_ROOT_DIR (missing: OPENSSL_CRYPTO_LIBRARY OPENSSL_INCLUDE_DIR) -- Found OpenMP_C: -fopenmp (found version "4.5") -- Found OpenMP_CXX: -fopenmp (found version "4.5") -- Found OpenMP: TRUE (found version "4.5") -- Configuring build for SLEEF-v3.6.0 -- Using option `-Wall -Wno-unused -Wno-attributes -Wno-unused-result -Wno-psabi -ffp-contract=off -fno-math-errno -fno-trapping-math` to compile libsleef -- Building shared libs : OFF -- Building static test bins: OFF -- MPFR : LIB_MPFR-NOTFOUND -- GMP : LIBGMP-NOTFOUND -- RT : /usr/lib64/librt.a -- FFTW3 : LIBFFTW3-NOTFOUND -- OPENSSL : -- SDE : SDE_COMMAND-NOTFOUND -- RUNNING_ON_TRAVIS : -- COMPILER_SUPPORTS_OPENMP : 1 Target system: Linux-4.18.0-305.19.1.el8_4.x86_64 Target processor: x86_64 Host system: Linux-4.18.0-305.19.1.el8_4.x86_64 Host processor: x86_64 Detected C compiler: GNU @ /usr/bin/gcc CMake: 3.26.3 Make program: /usr/bin/gmake *** Note: Parallel build is only supported with Ninja *** AT_INSTALL_INCLUDE_DIR include/ATen/core core header install: /builddir/build/BUILD/pytorch-v2.0.1/build/aten/src/ATen/core/TensorBody.h core header install: /builddir/build/BUILD/pytorch-v2.0.1/build/aten/src/ATen/core/aten_interned_strings.h core header install: /builddir/build/BUILD/pytorch-v2.0.1/build/aten/src/ATen/core/enum_tag.h -- _GLIBCXX_USE_CXX11_ABI=1 is already defined as a cmake variable CMake Warning (dev) at torch/CMakeLists.txt:387: Syntax Warning in cmake code at column 107 Argument not separated from preceding token by whitespace. This warning is for project developers. Use -Wno-dev to suppress it. CMake Warning (dev) at torch/CMakeLists.txt:387: Syntax Warning in cmake code at column 115 Argument not separated from preceding token by whitespace. This warning is for project developers. Use -Wno-dev to suppress it. -- Using lib/python3.10/site-packages as python relative installation path CMake Warning at CMakeLists.txt:1078 (message): Generated cmake files are only fully tested if one builds with system glog, gflags, and protobuf. Other settings may generate files that are not well tested. -- -- ******** Summary ******** -- General: -- CMake version : 3.26.3 -- CMake command : /usr/bin/cmake -- System : Linux -- C++ compiler : /usr/bin/g++ -- C++ compiler id : GNU -- C++ compiler version : 12.2.1 -- Using ccache if found : ON -- Found ccache : CCACHE_PROGRAM-NOTFOUND -- CXX flags : -O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -Wno-maybe-uninitialized -Wno-uninitialized -Wno-free-nonheap-object -Wno-restrict -D_GLIBCXX_USE_CXX11_ABI=1 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOROCTRACER -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor 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-- CUDA static link : OFF -- USE_CUDNN : ON -- USE_EXPERIMENTAL_CUDNN_V8_API: ON -- CUDA version : 12.1 -- USE_FLASH_ATTENTION : ON -- cuDNN version : 8.9.3 -- CUDA root directory : /usr/local/cuda -- CUDA library : /usr/local/cuda/lib64/stubs/libcuda.so -- cudart library : /usr/local/cuda/lib64/libcudart.so -- cublas library : /usr/local/cuda/lib64/libcublas.so;/usr/local/cuda/lib64/libcublasLt.so -- cufft library : /usr/local/cuda/lib64/libcufft.so -- curand library : /usr/local/cuda/lib64/libcurand.so -- cuDNN library : /usr/lib64/libcudnn.so -- nvrtc : /usr/local/cuda/lib64/libnvrtc.so -- CUDA include path : /usr/local/cuda/include -- NVCC executable : /usr/local/cuda-12.1/bin/nvcc -- CUDA compiler : /usr/local/cuda-12.1/bin/nvcc -- CUDA flags : -Xfatbin -compress-all -DONNX_NAMESPACE=onnx_torch -gencode arch=compute_60,code=sm_60 -gencode arch=compute_61,code=sm_61 -gencode arch=compute_70,code=sm_70 -gencode arch=compute_75,code=sm_75 -gencode arch=compute_80,code=sm_80 -gencode 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ON -- USE_FAKELOWP : OFF -- USE_KINETO : ON -- USE_FFMPEG : OFF -- USE_GFLAGS : OFF -- USE_GLOG : OFF -- USE_LEVELDB : OFF -- USE_LITE_PROTO : OFF -- USE_LMDB : OFF -- USE_METAL : OFF -- USE_PYTORCH_METAL : OFF -- USE_PYTORCH_METAL_EXPORT : OFF -- USE_MPS : OFF -- USE_FFTW : OFF -- USE_MKL : OFF -- USE_MKLDNN : ON -- USE_MKLDNN_ACL : OFF -- USE_MKLDNN_CBLAS : OFF -- USE_UCC : OFF -- USE_ITT : ON -- USE_NCCL : ON -- USE_SYSTEM_NCCL : OFF -- USE_NCCL_WITH_UCC : OFF -- USE_NNPACK : ON -- USE_NUMPY : ON -- USE_OBSERVERS : ON -- USE_OPENCL : OFF -- USE_OPENCV : OFF -- USE_OPENMP : ON -- USE_TBB : OFF -- USE_VULKAN : OFF -- USE_PROF : OFF -- USE_QNNPACK : ON -- USE_PYTORCH_QNNPACK : ON -- USE_XNNPACK : ON -- USE_REDIS : OFF -- USE_ROCKSDB : OFF -- USE_ZMQ : OFF -- USE_DISTRIBUTED : ON -- USE_MPI : OFF -- USE_GLOO : ON -- USE_GLOO_WITH_OPENSSL : OFF -- USE_TENSORPIPE : ON -- Public Dependencies : -- Private Dependencies : 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target renamePUREC_SCALAR.h_generated [ 12%] Built target renameSSE2.h_generated [ 12%] Built target dispsse.c_generated [ 12%] Built target renamedsp128.h_generated [ 12%] Built target hardware-config [ 12%] Built target dispavx.c_generated [ 12%] Built target renamedsp256.h_generated [ 12%] Built target mutex [ 12%] Built target sleefavx512f [ 12%] Built target memory [ 12%] Built target post-operation [ 12%] Built target nnpack [ 12%] Built target sleefavx2 [ 12%] Built target sleefdetavx2 [ 12%] Built target sleefdetavx512f [ 12%] Built target renamePURECFMA_SCALAR.h_generated [ 12%] Built target jit [ 12%] Built target operator-run [ 12%] Built target sleefavx2128 [ 12%] Built target sleefdetavx512fnofma [ 12%] Built target sleefavx512fnofma [ 12%] Built target c10_cuda [ 12%] Built target qnnpack [ 12%] Built target sleefdetavx2128 [ 12%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/CudaDeviceProperties.cpp.o [ 12%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/CudaUtil.cpp.o [ 12%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/CuptiActivityApi.cpp.o [ 12%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/CuptiMetricApi.cpp.o [ 12%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/CuptiActivityPlatform.cpp.o [ 12%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/CuptiCallbackApi.cpp.o [ 12%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/CuptiEventApi.cpp.o [ 12%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/CuptiRangeProfilerApi.cpp.o [ 12%] Built target sleefdetfma4 [ 12%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/CuptiRangeProfiler.cpp.o [ 12%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/CuptiRangeProfilerConfig.cpp.o [ 12%] Built target sleefavx [ 12%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/CuptiNvPerfMetric.cpp.o [ 12%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/Demangle.cpp.o [ 12%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/EventProfilerController.cpp.o [ 12%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/EventProfiler.cpp.o [ 12%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/WeakSymbols.cpp.o [ 12%] Built target sleeffma4 [ 12%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/cupti_strings.cpp.o [ 12%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/AbstractConfig.cpp.o [ 12%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/CuptiActivityProfiler.cpp.o [ 12%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/ActivityProfilerController.cpp.o [ 12%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/ActivityProfilerProxy.cpp.o [ 12%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/ActivityType.cpp.o [ 13%] Built target dnnl_cpu [ 13%] Built target fbgemm_generic [ 13%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/Config.cpp.o [ 14%] Built target sleefsse2 [ 15%] Built target pytorch_qnnpack [ 15%] Built target sleefdetavx [ 15%] Built target sleefdetsse4 [ 15%] Built target sleefpurecfma_scalar [ 15%] Built target sleefpurec_scalar [ 15%] Built target sleefdetpurecfma_scalar [ 15%] Built target sleefsse4 [ 15%] Built target sleefdetsse2 [ 15%] Built target sleefdetpurec_scalar [ 15%] Built target cache [ 16%] Built target dispsse_obj [ 16%] Built target dispavx_obj [ 16%] Built target tensorpipe [ 17%] Built target operators [ 17%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/ConfigLoader.cpp.o [ 17%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/GenericTraceActivity.cpp.o [ 17%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/DaemonConfigLoader.cpp.o [ 17%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/IpcFabricConfigClient.cpp.o [ 17%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/ILoggerObserver.cpp.o [ 17%] Built target fbgemm [ 17%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/Logger.cpp.o [ 17%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/init.cpp.o [ 17%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/output_csv.cpp.o [ 17%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/output_json.cpp.o [ 17%] Built target sleef [ 17%] Built target tensorpipe_cuda [ 17%] Built target subgraph [ 18%] Built target libprotoc [ 18%] Built target XNNPACK [ 18%] Built target protoc [ 18%] Built target gen_onnx_proto [ 18%] Built target Caffe2_PROTO [ 18%] Built target gen_onnx_data_proto [ 18%] Built target gen_onnx_operators_proto [ 18%] Built target caffe2_protos [ 18%] Built target ATEN_CUDA_FILES_GEN_TARGET [ 18%] Built target onnx_proto [ 22%] Built target dnnl_cpu_x64 [ 22%] Built target dnnl [ 23%] Built target onnx [ 23%] Built target dnnl_graph [ 23%] Built target ATEN_CPU_FILES_GEN_TARGET In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/FabricManager.h:12, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/IpcFabricConfigClient.h:21, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/DaemonConfigLoader.cpp:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h: In instantiation of ‘auto dynolog::ipcfabric::EndPoint::buildCtxt_(const std::vector&, unsigned int) [with long unsigned int kMaxNumFds = 0]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h:116:17: required from ‘auto dynolog::ipcfabric::EndPoint::buildSendCtxt(const std::string&, const std::vector&, const std::vector&) [with long unsigned int kMaxNumFds = 0; std::string = std::__cxx11::basic_string]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/FabricManager.h:126:36: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h:238:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 238 | for (int i = 0; i < payload.size(); i++) { | ~~^~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/FabricManager.h:12, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/IpcFabricConfigClient.h:21, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/IpcFabricConfigClient.cpp:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h: In instantiation of ‘auto dynolog::ipcfabric::EndPoint::buildCtxt_(const std::vector&, unsigned int) [with long unsigned int kMaxNumFds = 0]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h:116:17: required from ‘auto dynolog::ipcfabric::EndPoint::buildSendCtxt(const std::string&, const std::vector&, const std::vector&) [with long unsigned int kMaxNumFds = 0; std::string = std::__cxx11::basic_string]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/FabricManager.h:126:36: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h:238:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 238 | for (int i = 0; i < payload.size(); i++) { | ~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h: In instantiation of ‘bool dynolog::ipcfabric::EndPoint::tryPeekMsg(TCtxt&) [with long unsigned int kMaxNumFds = 0; TCtxt = dynolog::ipcfabric::EndPointCtxt<0>]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/FabricManager.h:155:33: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h:174:5: warning: ‘throw’ will always call ‘terminate’ [-Wterminate] 174 | throw std::runtime_error(std::strerror(errno)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h: In instantiation of ‘const char* dynolog::ipcfabric::EndPoint::getName(const TCtxt&) const [with long unsigned int kMaxNumFds = 0; TCtxt = dynolog::ipcfabric::EndPointCtxt<0>]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/FabricManager.h:170:43: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h:185:9: warning: ‘throw’ will always call ‘terminate’ [-Wterminate] 185 | throw std::invalid_argument( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 186 | "Unexpected socket name: " + std::string(ctxt.msg_name.sun_path) + | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 187 | ". Expected to start with " + std::string(socket_dir)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h:192:9: warning: ‘throw’ will always call ‘terminate’ [-Wterminate] 192 | throw std::invalid_argument( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 193 | "Expected abstract socket, got " + | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 194 | std::string(ctxt.msg_name.sun_path)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h: In instantiation of ‘bool dynolog::ipcfabric::EndPoint::tryRcvMsg(TCtxt&) [with long unsigned int kMaxNumFds = 0; TCtxt = dynolog::ipcfabric::EndPointCtxt<0>]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/FabricManager.h:178:34: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h:160:5: warning: ‘throw’ will always call ‘terminate’ [-Wterminate] 160 | throw std::runtime_error(std::strerror(errno)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/CuptiCallbackApi.cpp: In member function ‘void libkineto::CuptiCallbackApi::__callback_switchboard(CUpti_CallbackDomain, CUpti_CallbackId, const CUpti_CallbackData*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/CuptiCallbackApi.cpp:148:34: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 148 | it != cblist->end() && i < MAX_CB_FNS_PER_CB; | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/AbstractConfig.cpp: In member function ‘std::string libkineto::AbstractConfig::toLower(std::string&) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/AbstractConfig.cpp:74:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 74 | for (int i = 0; i < res.size(); i++) { | ~~^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/AbstractConfig.cpp: In member function ‘bool libkineto::AbstractConfig::toBool(std::string&) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/AbstractConfig.cpp:122:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::array, 8>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 122 | for (int i = 0; i < bool_vals.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h: In instantiation of ‘bool dynolog::ipcfabric::EndPoint::tryPeekMsg(TCtxt&) [with long unsigned int kMaxNumFds = 0; TCtxt = dynolog::ipcfabric::EndPointCtxt<0>]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/FabricManager.h:155:33: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h:174:5: warning: ‘throw’ will always call ‘terminate’ [-Wterminate] 174 | throw std::runtime_error(std::strerror(errno)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h: In instantiation of ‘const char* dynolog::ipcfabric::EndPoint::getName(const TCtxt&) const [with long unsigned int kMaxNumFds = 0; TCtxt = dynolog::ipcfabric::EndPointCtxt<0>]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/FabricManager.h:170:43: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h:185:9: warning: ‘throw’ will always call ‘terminate’ [-Wterminate] 185 | throw std::invalid_argument( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 186 | "Unexpected socket name: " + std::string(ctxt.msg_name.sun_path) + | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 187 | ". Expected to start with " + std::string(socket_dir)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h:192:9: warning: ‘throw’ will always call ‘terminate’ [-Wterminate] 192 | throw std::invalid_argument( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 193 | "Expected abstract socket, got " + | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 194 | std::string(ctxt.msg_name.sun_path)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h: In instantiation of ‘bool dynolog::ipcfabric::EndPoint::tryRcvMsg(TCtxt&) [with long unsigned int kMaxNumFds = 0; TCtxt = dynolog::ipcfabric::EndPointCtxt<0>]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/FabricManager.h:178:34: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h:160:5: warning: ‘throw’ will always call ‘terminate’ [-Wterminate] 160 | throw std::runtime_error(std::strerror(errno)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 73%] Built target microkernels-all /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/CuptiActivityApi.cpp: In member function ‘void libkineto::CuptiActivityApi::bufferRequested(uint8_t**, size_t*, size_t*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/CuptiActivityApi.cpp:132:40: warning: comparison of integer expressions of different signedness: ‘std::map >::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 132 | if (allocatedGpuTraceBuffers_.size() >= maxGpuBufferCount_) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/CudaDeviceProperties.cpp: In function ‘const std::vector libkineto::createDeviceProps()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/CudaDeviceProperties.cpp:31:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 31 | for (size_t i = 0; i < device_count; ++i) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/EventProfiler.cpp: In constructor ‘libkineto::EventGroupSet::EventGroupSet(CUpti_EventGroupSet&, std::map&, libkineto::CuptiEventApi&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/EventProfiler.cpp:166:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 166 | for (int g = 0; g < set.numEventGroups; g++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/EventProfiler.cpp: In member function ‘void libkineto::EventGroupSet::collectSample()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/EventProfiler.cpp:198:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 198 | for (int g = 0; g < set_.numEventGroups; g++) { | ~~^~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/EventProfiler.cpp:208:17: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘uint64_t’ {aka ‘long unsigned int’} [-Wsign-compare] 208 | if (v == CUPTI_EVENT_OVERFLOW) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/EventProfiler.cpp: In member function ‘void libkineto::EventGroupSet::printDescription(std::ostream&) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/EventProfiler.cpp:228:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 228 | for (int g = 0; g < set_.numEventGroups; g++) { | ~~^~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/EventProfiler.cpp: In member function ‘void libkineto::EventProfiler::initMetrics(const std::set >&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/EventProfiler.cpp:267:19: warning: comparison of integer expressions of different signedness: ‘CUpti_MetricID’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] 267 | if (metric_id == ~0) { | ~~~~~~~~~~^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/EventProfiler.cpp: In member function ‘bool libkineto::EventProfiler::initEventGroups()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/EventProfiler.cpp:314:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 314 | for (int i = 0; i < eventGroupSets_->numSets; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/EventProfiler.cpp: In member function ‘void libkineto::EventProfiler::printSets(std::ostream&) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/EventProfiler.cpp:514:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 514 | for (int i = 0; i < sets_.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/CuptiRangeProfiler.cpp: In member function ‘void libkineto::CuptiRangeProfilerSession::addRangeEvents(const libkineto::CuptiProfilerResult&, const libkineto::CuptiRBProfilerSession*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/CuptiRangeProfiler.cpp:152:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 152 | if (num_kernels != result.rangeVals.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/CuptiRangeProfiler.cpp:182:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 182 | for (int i = 0; i < metricNames.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ [ 73%] Built target kineto_base [ 73%] Linking CXX static library ../../../lib/libkineto.a [ 73%] Built target kineto [ 73%] Linking CXX shared library ../lib/libtorch_cpu.so [ 73%] Linking CXX static library ../../../lib/libgloo_cuda.a [ 73%] Built target gloo_cuda [ 90%] Built target torch_cpu [ 90%] Linking CXX shared library ../lib/libtorch_cuda.so [ 95%] Built target torch_cuda [ 95%] Building CXX object caffe2/CMakeFiles/torch.dir/__/empty.cpp.o [ 95%] Linking CXX shared library ../lib/libtorch.so [ 95%] Linking CXX shared library ../lib/libtorch_cuda_linalg.so [ 95%] Built target torch [ 95%] Linking CXX shared library ../../../../lib/libshm.so [ 95%] Built target torch_cuda_linalg [ 95%] Built target shm [ 95%] Linking CXX executable ../../../../bin/torch_shm_manager [ 95%] Built target torch_shm_manager [ 95%] Building CXX object third_party/nvfuser/CMakeFiles/nvfuser_codegen.dir/csrc/executor_utils.cpp.o [ 95%] Linking CXX shared library ../../lib/libtorch_python.so [ 97%] Built target torch_python [ 97%] Linking CXX shared module functorch.so [ 97%] Linking CXX shared library ../../lib/libnnapi_backend.so [ 97%] Built target nnapi_backend [ 97%] Built target functorch [ 97%] Linking CXX shared library ../../lib/libnvfuser_codegen.so [ 98%] Built target nvfuser_codegen [ 98%] Linking CXX shared module ../../nvfuser/nvfuser.so [100%] Built target nvfuser Install the project... -- Install configuration: "Release" -- Set runtime path of "/builddir/build/BUILD/pytorch-v2.0.1/torch/lib/libtorch_cuda_linalg.so" to "$ORIGIN:/usr/local/cuda/lib64" -- Set runtime path of "/builddir/build/BUILD/pytorch-v2.0.1/torch/lib/libshm.so" to "$ORIGIN:/usr/local/cuda/lib64" -- Set runtime path of "/builddir/build/BUILD/pytorch-v2.0.1/torch/bin/torch_shm_manager" to "$ORIGIN/../lib:/usr/local/cuda/lib64" -- Set runtime path of "/builddir/build/BUILD/pytorch-v2.0.1/torch/lib/libtorch_python.so" to "$ORIGIN:/usr/local/cuda/lib64" -- Set runtime path of "/builddir/build/BUILD/pytorch-v2.0.1/torch/lib/libtorch_cpu.so" to "$ORIGIN:/usr/local/cuda/lib64" -- Set runtime path of "/builddir/build/BUILD/pytorch-v2.0.1/torch/lib/libtorch_cuda.so" to "$ORIGIN:/usr/local/cuda/lib64" -- Set runtime path of "/builddir/build/BUILD/pytorch-v2.0.1/torch/lib/libtorch.so" to "$ORIGIN:/usr/local/cuda/lib64" -- Set runtime path of "/builddir/build/BUILD/pytorch-v2.0.1/third_party/nvfuser/../../torch/lib/libnvfuser_codegen.so" to "$ORIGIN:/usr/local/cuda/lib64" -- Set runtime path of "/builddir/build/BUILD/pytorch-v2.0.1/third_party/nvfuser/../../nvfuser/nvfuser.so" to "$ORIGIN/../torch/lib:/usr/local/cuda/lib64" -- Set runtime path of "/builddir/build/BUILD/pytorch-v2.0.1/functorch/functorch.so" to "$ORIGIN/../torch/lib:/usr/local/cuda/lib64" Building wheel torch-2.0.1 -- Building version 2.0.1 cmake3 --build . --target install --config Release -- -j 80 running install /usr/lib/python3.10/site-packages/setuptools/command/install.py:34: SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools. warnings.warn( running build running build_py copying torch/bin/torch_shm_manager -> build/lib.linux-x86_64-cpython-310/torch/bin copying torch/lib/libtorch_cuda_linalg.so -> build/lib.linux-x86_64-cpython-310/torch/lib copying torch/lib/libshm.so -> build/lib.linux-x86_64-cpython-310/torch/lib copying torch/lib/libtorch_python.so -> build/lib.linux-x86_64-cpython-310/torch/lib copying torch/lib/libtorch_cpu.so -> build/lib.linux-x86_64-cpython-310/torch/lib copying torch/lib/libtorch_cuda.so -> build/lib.linux-x86_64-cpython-310/torch/lib copying torch/lib/libtorch.so -> build/lib.linux-x86_64-cpython-310/torch/lib copying torch/lib/libnvfuser_codegen.so -> build/lib.linux-x86_64-cpython-310/torch/lib copying torchgen/packaged/ATen/native/native_functions.yaml -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/native copying torchgen/packaged/ATen/native/tags.yaml -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/native running build_ext -- Building with NumPy bindings -- Detected cuDNN at , -- Detected CUDA at /usr/local/cuda -- Using MKLDNN -- Not using Compute Library for the Arm architecture with MKLDNN -- Not using CBLAS in MKLDNN -- Building NCCL library -- Building with distributed package: -- USE_TENSORPIPE=True -- USE_GLOO=True -- USE_MPI=False -- Building Executorch -- Using ITT -- Building nvfuser Copying functorch._C from functorch/functorch.so to /builddir/build/BUILD/pytorch-v2.0.1/build/lib.linux-x86_64-cpython-310/functorch/_C.cpython-310-x86_64-linux-gnu.so copying functorch/functorch.so -> /builddir/build/BUILD/pytorch-v2.0.1/build/lib.linux-x86_64-cpython-310/functorch/_C.cpython-310-x86_64-linux-gnu.so Copying nvfuser._C from nvfuser/nvfuser.so to /builddir/build/BUILD/pytorch-v2.0.1/build/lib.linux-x86_64-cpython-310/nvfuser/_C.cpython-310-x86_64-linux-gnu.so copying nvfuser/nvfuser.so -> /builddir/build/BUILD/pytorch-v2.0.1/build/lib.linux-x86_64-cpython-310/nvfuser/_C.cpython-310-x86_64-linux-gnu.so running install_lib creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64 creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10 creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch copying build/lib.linux-x86_64-cpython-310/torch/types.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch copying build/lib.linux-x86_64-cpython-310/torch/_deploy.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch copying build/lib.linux-x86_64-cpython-310/torch/hub.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch copying build/lib.linux-x86_64-cpython-310/torch/storage.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch copying build/lib.linux-x86_64-cpython-310/torch/_sources.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch copying build/lib.linux-x86_64-cpython-310/torch/_classes.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch copying build/lib.linux-x86_64-cpython-310/torch/torch_version.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch copying build/lib.linux-x86_64-cpython-310/torch/_lobpcg.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch copying build/lib.linux-x86_64-cpython-310/torch/_torch_docs.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch copying build/lib.linux-x86_64-cpython-310/torch/quasirandom.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch copying build/lib.linux-x86_64-cpython-310/torch/serialization.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch copying build/lib.linux-x86_64-cpython-310/torch/_lowrank.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch copying build/lib.linux-x86_64-cpython-310/torch/_weights_only_unpickler.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch copying build/lib.linux-x86_64-cpython-310/torch/functional.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch copying build/lib.linux-x86_64-cpython-310/torch/__future__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch copying build/lib.linux-x86_64-cpython-310/torch/_VF.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch copying build/lib.linux-x86_64-cpython-310/torch/__config__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch copying build/lib.linux-x86_64-cpython-310/torch/_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch copying build/lib.linux-x86_64-cpython-310/torch/overrides.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch copying build/lib.linux-x86_64-cpython-310/torch/_utils_internal.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch copying build/lib.linux-x86_64-cpython-310/torch/_meta_registrations.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch copying build/lib.linux-x86_64-cpython-310/torch/_vmap_internals.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch copying build/lib.linux-x86_64-cpython-310/torch/library.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch copying build/lib.linux-x86_64-cpython-310/torch/_storage_docs.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch copying build/lib.linux-x86_64-cpython-310/torch/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch copying build/lib.linux-x86_64-cpython-310/torch/_guards.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch copying build/lib.linux-x86_64-cpython-310/torch/_ops.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch copying build/lib.linux-x86_64-cpython-310/torch/_jit_internal.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch copying build/lib.linux-x86_64-cpython-310/torch/return_types.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch copying build/lib.linux-x86_64-cpython-310/torch/_appdirs.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch copying build/lib.linux-x86_64-cpython-310/torch/_tensor_str.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch copying build/lib.linux-x86_64-cpython-310/torch/_tensor_docs.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch copying build/lib.linux-x86_64-cpython-310/torch/_tensor.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch copying build/lib.linux-x86_64-cpython-310/torch/_linalg_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch copying build/lib.linux-x86_64-cpython-310/torch/_namedtensor_internals.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch copying build/lib.linux-x86_64-cpython-310/torch/random.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch copying build/lib.linux-x86_64-cpython-310/torch/_python_dispatcher.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch copying build/lib.linux-x86_64-cpython-310/torch/version.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor copying build/lib.linux-x86_64-cpython-310/torch/_inductor/lowering.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor copying build/lib.linux-x86_64-cpython-310/torch/_inductor/utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor copying build/lib.linux-x86_64-cpython-310/torch/_inductor/mkldnn.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor copying build/lib.linux-x86_64-cpython-310/torch/_inductor/fx_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor copying build/lib.linux-x86_64-cpython-310/torch/_inductor/optimize_indexing.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor copying build/lib.linux-x86_64-cpython-310/torch/_inductor/codecache.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor copying build/lib.linux-x86_64-cpython-310/torch/_inductor/virtualized.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor copying build/lib.linux-x86_64-cpython-310/torch/_inductor/exc.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor copying build/lib.linux-x86_64-cpython-310/torch/_inductor/ir.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor copying build/lib.linux-x86_64-cpython-310/torch/_inductor/debug.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor copying build/lib.linux-x86_64-cpython-310/torch/_inductor/pattern_matcher.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor copying build/lib.linux-x86_64-cpython-310/torch/_inductor/scheduler.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor copying build/lib.linux-x86_64-cpython-310/torch/_inductor/cuda_properties.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor copying build/lib.linux-x86_64-cpython-310/torch/_inductor/overrides.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor copying build/lib.linux-x86_64-cpython-310/torch/_inductor/test_operators.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor copying build/lib.linux-x86_64-cpython-310/torch/_inductor/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor copying build/lib.linux-x86_64-cpython-310/torch/_inductor/decomposition.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor copying build/lib.linux-x86_64-cpython-310/torch/_inductor/graph.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor copying build/lib.linux-x86_64-cpython-310/torch/_inductor/config.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor copying build/lib.linux-x86_64-cpython-310/torch/_inductor/compile_fx.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor copying build/lib.linux-x86_64-cpython-310/torch/_inductor/sizevars.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor copying build/lib.linux-x86_64-cpython-310/torch/_inductor/dependencies.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor copying build/lib.linux-x86_64-cpython-310/torch/_inductor/select_algorithm.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor copying build/lib.linux-x86_64-cpython-310/torch/_inductor/metrics.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/codegen copying build/lib.linux-x86_64-cpython-310/torch/_inductor/codegen/triton.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/codegen copying build/lib.linux-x86_64-cpython-310/torch/_inductor/codegen/cpp.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/codegen copying build/lib.linux-x86_64-cpython-310/torch/_inductor/codegen/wrapper.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/codegen copying build/lib.linux-x86_64-cpython-310/torch/_inductor/codegen/autotuner.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/codegen copying build/lib.linux-x86_64-cpython-310/torch/_inductor/codegen/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/codegen copying build/lib.linux-x86_64-cpython-310/torch/_inductor/codegen/common.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/codegen copying build/lib.linux-x86_64-cpython-310/torch/_inductor/codegen/cpp_prefix.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/codegen creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/triton_ops copying build/lib.linux-x86_64-cpython-310/torch/_inductor/triton_ops/utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/triton_ops copying build/lib.linux-x86_64-cpython-310/torch/_inductor/triton_ops/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/triton_ops copying build/lib.linux-x86_64-cpython-310/torch/_inductor/triton_ops/conv_perf_model.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/triton_ops copying build/lib.linux-x86_64-cpython-310/torch/_inductor/triton_ops/conv.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/triton_ops copying build/lib.linux-x86_64-cpython-310/torch/_inductor/triton_ops/conv1x1.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/triton_ops copying build/lib.linux-x86_64-cpython-310/torch/_inductor/triton_ops/autotune.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/triton_ops creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/kernel copying build/lib.linux-x86_64-cpython-310/torch/_inductor/kernel/mm_plus_mm.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/kernel copying build/lib.linux-x86_64-cpython-310/torch/_inductor/kernel/bmm.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/kernel copying build/lib.linux-x86_64-cpython-310/torch/_inductor/kernel/mm_common.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/kernel copying build/lib.linux-x86_64-cpython-310/torch/_inductor/kernel/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/kernel copying build/lib.linux-x86_64-cpython-310/torch/_inductor/kernel/mm.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/kernel creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/sparse copying build/lib.linux-x86_64-cpython-310/torch/sparse/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/sparse creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/masked copying build/lib.linux-x86_64-cpython-310/torch/masked/_docs.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/masked copying build/lib.linux-x86_64-cpython-310/torch/masked/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/masked copying build/lib.linux-x86_64-cpython-310/torch/masked/_ops.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/masked creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/masked/maskedtensor copying build/lib.linux-x86_64-cpython-310/torch/masked/maskedtensor/reductions.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/masked/maskedtensor copying build/lib.linux-x86_64-cpython-310/torch/masked/maskedtensor/core.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/masked/maskedtensor copying build/lib.linux-x86_64-cpython-310/torch/masked/maskedtensor/unary.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/masked/maskedtensor copying build/lib.linux-x86_64-cpython-310/torch/masked/maskedtensor/_ops_refs.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/masked/maskedtensor copying build/lib.linux-x86_64-cpython-310/torch/masked/maskedtensor/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/masked/maskedtensor copying build/lib.linux-x86_64-cpython-310/torch/masked/maskedtensor/creation.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/masked/maskedtensor copying build/lib.linux-x86_64-cpython-310/torch/masked/maskedtensor/passthrough.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/masked/maskedtensor copying build/lib.linux-x86_64-cpython-310/torch/masked/maskedtensor/binary.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/masked/maskedtensor creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_prims_common copying build/lib.linux-x86_64-cpython-310/torch/_prims_common/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_prims_common copying build/lib.linux-x86_64-cpython-310/torch/_prims_common/wrappers.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_prims_common creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/func copying build/lib.linux-x86_64-cpython-310/torch/func/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/func creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch copying build/lib.linux-x86_64-cpython-310/torch/_functorch/pytree_hacks.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch copying build/lib.linux-x86_64-cpython-310/torch/_functorch/functional_call.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch copying build/lib.linux-x86_64-cpython-310/torch/_functorch/utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch copying build/lib.linux-x86_64-cpython-310/torch/_functorch/python_key.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch copying build/lib.linux-x86_64-cpython-310/torch/_functorch/aot_autograd.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch copying build/lib.linux-x86_64-cpython-310/torch/_functorch/benchmark_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch copying build/lib.linux-x86_64-cpython-310/torch/_functorch/compilers.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch copying build/lib.linux-x86_64-cpython-310/torch/_functorch/autograd_function.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch copying build/lib.linux-x86_64-cpython-310/torch/_functorch/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch copying build/lib.linux-x86_64-cpython-310/torch/_functorch/make_functional.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch copying build/lib.linux-x86_64-cpython-310/torch/_functorch/eager_transforms.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch copying build/lib.linux-x86_64-cpython-310/torch/_functorch/config.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch copying build/lib.linux-x86_64-cpython-310/torch/_functorch/fx_minifier.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch copying build/lib.linux-x86_64-cpython-310/torch/_functorch/pyfunctorch.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch copying build/lib.linux-x86_64-cpython-310/torch/_functorch/top_operators_github_usage.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch copying build/lib.linux-x86_64-cpython-310/torch/_functorch/partitioners.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch copying build/lib.linux-x86_64-cpython-310/torch/_functorch/batch_norm_replacement.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch copying build/lib.linux-x86_64-cpython-310/torch/_functorch/deprecated.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch copying build/lib.linux-x86_64-cpython-310/torch/_functorch/vmap.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch copying build/lib.linux-x86_64-cpython-310/torch/_functorch/compile_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/half_cauchy.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/categorical.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/gumbel.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/continuous_bernoulli.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/pareto.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/kl.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/one_hot_categorical.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/lowrank_multivariate_normal.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/lkj_cholesky.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/beta.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/dirichlet.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/multinomial.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/gamma.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/kumaraswamy.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/exponential.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/independent.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/normal.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/cauchy.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/distribution.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/relaxed_categorical.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/transforms.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/transformed_distribution.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/constraint_registry.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/relaxed_bernoulli.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/von_mises.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/half_normal.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/chi2.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/weibull.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/mixture_same_family.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/negative_binomial.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/constraints.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/geometric.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/fishersnedecor.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/binomial.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/log_normal.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/uniform.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/bernoulli.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/exp_family.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/wishart.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/poisson.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/laplace.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/logistic_normal.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/studentT.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/multivariate_normal.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_lazy copying build/lib.linux-x86_64-cpython-310/torch/_lazy/ts_backend.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_lazy copying build/lib.linux-x86_64-cpython-310/torch/_lazy/tensor_factory_functions.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_lazy copying build/lib.linux-x86_64-cpython-310/torch/_lazy/debug.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_lazy copying build/lib.linux-x86_64-cpython-310/torch/_lazy/computation.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_lazy copying build/lib.linux-x86_64-cpython-310/torch/_lazy/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_lazy copying build/lib.linux-x86_64-cpython-310/torch/_lazy/ir_cache.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_lazy copying build/lib.linux-x86_64-cpython-310/torch/_lazy/config.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_lazy copying build/lib.linux-x86_64-cpython-310/torch/_lazy/closure.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_lazy copying build/lib.linux-x86_64-cpython-310/torch/_lazy/extract_compiled_graph.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_lazy copying build/lib.linux-x86_64-cpython-310/torch/_lazy/device_context.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_lazy copying build/lib.linux-x86_64-cpython-310/torch/_lazy/metrics.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_lazy creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dispatch copying build/lib.linux-x86_64-cpython-310/torch/_dispatch/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dispatch copying build/lib.linux-x86_64-cpython-310/torch/_dispatch/python.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dispatch creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn copying build/lib.linux-x86_64-cpython-310/torch/nn/init.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn copying build/lib.linux-x86_64-cpython-310/torch/nn/grad.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn copying build/lib.linux-x86_64-cpython-310/torch/nn/_reduction.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn copying build/lib.linux-x86_64-cpython-310/torch/nn/cpp.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn copying build/lib.linux-x86_64-cpython-310/torch/nn/functional.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn copying build/lib.linux-x86_64-cpython-310/torch/nn/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn copying build/lib.linux-x86_64-cpython-310/torch/nn/common_types.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn copying build/lib.linux-x86_64-cpython-310/torch/nn/parameter.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/parallel copying build/lib.linux-x86_64-cpython-310/torch/nn/parallel/distributed.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/parallel copying build/lib.linux-x86_64-cpython-310/torch/nn/parallel/_replicated_tensor_ddp_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/parallel copying build/lib.linux-x86_64-cpython-310/torch/nn/parallel/scatter_gather.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/parallel copying build/lib.linux-x86_64-cpython-310/torch/nn/parallel/_replicated_tensor_ddp_interop.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/parallel copying build/lib.linux-x86_64-cpython-310/torch/nn/parallel/replicate.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/parallel copying build/lib.linux-x86_64-cpython-310/torch/nn/parallel/parallel_apply.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/parallel copying build/lib.linux-x86_64-cpython-310/torch/nn/parallel/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/parallel copying build/lib.linux-x86_64-cpython-310/torch/nn/parallel/_functions.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/parallel copying build/lib.linux-x86_64-cpython-310/torch/nn/parallel/data_parallel.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/parallel copying build/lib.linux-x86_64-cpython-310/torch/nn/parallel/comm.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/parallel copying build/lib.linux-x86_64-cpython-310/torch/nn/parallel/parallel_apply.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/parallel copying build/lib.linux-x86_64-cpython-310/torch/nn/parallel/__init__.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/parallel copying build/lib.linux-x86_64-cpython-310/torch/nn/parallel/replicate.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/parallel copying build/lib.linux-x86_64-cpython-310/torch/nn/parallel/scatter_gather.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/parallel copying build/lib.linux-x86_64-cpython-310/torch/nn/parallel/data_parallel.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/parallel copying build/lib.linux-x86_64-cpython-310/torch/nn/parallel/common_types.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/parallel creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/backends copying build/lib.linux-x86_64-cpython-310/torch/nn/backends/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/backends copying build/lib.linux-x86_64-cpython-310/torch/nn/backends/thnn.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/backends creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/qat copying build/lib.linux-x86_64-cpython-310/torch/nn/qat/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/qat creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/qat/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/qat/modules/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/qat/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/qat/modules/embedding_ops.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/qat/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/qat/modules/conv.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/qat/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/qat/modules/linear.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/qat/modules creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/qat/dynamic copying build/lib.linux-x86_64-cpython-310/torch/nn/qat/dynamic/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/qat/dynamic creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/qat/dynamic/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/qat/dynamic/modules/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/qat/dynamic/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/qat/dynamic/modules/linear.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/qat/dynamic/modules creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/modules/pooling.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/modules/loss.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/modules/instancenorm.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/modules/utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/modules/distance.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/modules/rnn.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/modules/sparse.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/modules/padding.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/modules/module.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/modules/container.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/modules/dropout.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/modules/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/modules/lazy.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/modules/flatten.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/modules/fold.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/modules/normalization.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/modules/batchnorm.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/modules/_functions.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/modules/conv.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/modules/transformer.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/modules/activation.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/modules/adaptive.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/modules/upsampling.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/modules/linear.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/modules/channelshuffle.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/modules/pixelshuffle.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic copying build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic/qat copying build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic/qat/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic/qat creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic/qat/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic/qat/modules/conv_fused.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic/qat/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic/qat/modules/linear_fused.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic/qat/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic/qat/modules/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic/qat/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic/qat/modules/linear_relu.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic/qat/modules creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic/modules/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic/modules/fused.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic/modules creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic/quantized copying build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic/quantized/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic/quantized creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic/quantized/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic/quantized/modules/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic/quantized/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic/quantized/modules/bn_relu.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic/quantized/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic/quantized/modules/conv_relu.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic/quantized/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic/quantized/modules/linear_relu.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic/quantized/modules creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic/quantized/dynamic copying build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic/quantized/dynamic/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic/quantized/dynamic creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic/quantized/dynamic/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic/quantized/dynamic/modules/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic/quantized/dynamic/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic/quantized/dynamic/modules/linear_relu.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic/quantized/dynamic/modules creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils copying build/lib.linux-x86_64-cpython-310/torch/nn/utils/init.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils copying build/lib.linux-x86_64-cpython-310/torch/nn/utils/_named_member_accessor.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils copying build/lib.linux-x86_64-cpython-310/torch/nn/utils/parametrize.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils copying build/lib.linux-x86_64-cpython-310/torch/nn/utils/rnn.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils copying build/lib.linux-x86_64-cpython-310/torch/nn/utils/fusion.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils copying build/lib.linux-x86_64-cpython-310/torch/nn/utils/clip_grad.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils copying build/lib.linux-x86_64-cpython-310/torch/nn/utils/weight_norm.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils copying build/lib.linux-x86_64-cpython-310/torch/nn/utils/_per_sample_grad.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils copying build/lib.linux-x86_64-cpython-310/torch/nn/utils/_deprecation_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils copying build/lib.linux-x86_64-cpython-310/torch/nn/utils/stateless.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils copying build/lib.linux-x86_64-cpython-310/torch/nn/utils/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils copying build/lib.linux-x86_64-cpython-310/torch/nn/utils/convert_parameters.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils copying build/lib.linux-x86_64-cpython-310/torch/nn/utils/memory_format.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils copying build/lib.linux-x86_64-cpython-310/torch/nn/utils/spectral_norm.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils copying build/lib.linux-x86_64-cpython-310/torch/nn/utils/parametrizations.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils copying build/lib.linux-x86_64-cpython-310/torch/nn/utils/prune.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils/_expanded_weights copying build/lib.linux-x86_64-cpython-310/torch/nn/utils/_expanded_weights/conv_expanded_weights.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils/_expanded_weights copying build/lib.linux-x86_64-cpython-310/torch/nn/utils/_expanded_weights/linear_expanded_weights.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils/_expanded_weights copying build/lib.linux-x86_64-cpython-310/torch/nn/utils/_expanded_weights/embedding_expanded_weights.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils/_expanded_weights copying build/lib.linux-x86_64-cpython-310/torch/nn/utils/_expanded_weights/conv_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils/_expanded_weights copying build/lib.linux-x86_64-cpython-310/torch/nn/utils/_expanded_weights/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils/_expanded_weights copying build/lib.linux-x86_64-cpython-310/torch/nn/utils/_expanded_weights/expanded_weights_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils/_expanded_weights copying build/lib.linux-x86_64-cpython-310/torch/nn/utils/_expanded_weights/group_norm_expanded_weights.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils/_expanded_weights copying build/lib.linux-x86_64-cpython-310/torch/nn/utils/_expanded_weights/layer_norm_expanded_weights.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils/_expanded_weights copying build/lib.linux-x86_64-cpython-310/torch/nn/utils/_expanded_weights/instance_norm_expanded_weights.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils/_expanded_weights copying build/lib.linux-x86_64-cpython-310/torch/nn/utils/_expanded_weights/expanded_weights_impl.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils/_expanded_weights creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized copying build/lib.linux-x86_64-cpython-310/torch/nn/quantized/functional.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized copying build/lib.linux-x86_64-cpython-310/torch/nn/quantized/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/quantized/modules/functional_modules.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/quantized/modules/utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/quantized/modules/rnn.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/quantized/modules/dropout.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/quantized/modules/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/quantized/modules/normalization.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/quantized/modules/batchnorm.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/quantized/modules/embedding_ops.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/quantized/modules/conv.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/quantized/modules/activation.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/quantized/modules/linear.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/modules creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/_reference copying build/lib.linux-x86_64-cpython-310/torch/nn/quantized/_reference/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/_reference creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/_reference/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/quantized/_reference/modules/utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/_reference/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/quantized/_reference/modules/rnn.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/_reference/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/quantized/_reference/modules/sparse.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/_reference/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/quantized/_reference/modules/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/_reference/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/quantized/_reference/modules/conv.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/_reference/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/quantized/_reference/modules/linear.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/_reference/modules creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/dynamic copying build/lib.linux-x86_64-cpython-310/torch/nn/quantized/dynamic/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/dynamic creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/dynamic/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/quantized/dynamic/modules/rnn.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/dynamic/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/quantized/dynamic/modules/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/dynamic/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/quantized/dynamic/modules/conv.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/dynamic/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/quantized/dynamic/modules/linear.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/dynamic/modules creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantizable copying build/lib.linux-x86_64-cpython-310/torch/nn/quantizable/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantizable creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantizable/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/quantizable/modules/rnn.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantizable/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/quantizable/modules/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantizable/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/quantizable/modules/activation.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantizable/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/parameter.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn copying build/lib.linux-x86_64-cpython-310/torch/nn/functional.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/contrib copying build/lib.linux-x86_64-cpython-310/torch/contrib/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/contrib copying build/lib.linux-x86_64-cpython-310/torch/contrib/_tensorboard_vis.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/contrib creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_refs copying build/lib.linux-x86_64-cpython-310/torch/_refs/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_refs copying build/lib.linux-x86_64-cpython-310/torch/_refs/_conversions.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_refs copying build/lib.linux-x86_64-cpython-310/torch/_refs/fft.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_refs creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_refs/nn copying build/lib.linux-x86_64-cpython-310/torch/_refs/nn/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_refs/nn creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_refs/nn/functional copying build/lib.linux-x86_64-cpython-310/torch/_refs/nn/functional/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_refs/nn/functional creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_refs/linalg copying build/lib.linux-x86_64-cpython-310/torch/_refs/linalg/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_refs/linalg creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_refs/special copying build/lib.linux-x86_64-cpython-310/torch/_refs/special/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_refs/special creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao copying build/lib.linux-x86_64-cpython-310/torch/ao/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/sparse copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/sparse/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/sparse creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/sparse/quantized copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/sparse/quantized/utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/sparse/quantized copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/sparse/quantized/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/sparse/quantized copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/sparse/quantized/linear.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/sparse/quantized creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/sparse/quantized/dynamic copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/sparse/quantized/dynamic/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/sparse/quantized/dynamic copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/sparse/quantized/dynamic/linear.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/sparse/quantized/dynamic creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/qat copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/qat/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/qat creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/qat/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/qat/modules/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/qat/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/qat/modules/embedding_ops.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/qat/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/qat/modules/conv.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/qat/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/qat/modules/linear.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/qat/modules creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/qat/dynamic copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/qat/dynamic/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/qat/dynamic creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/qat/dynamic/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/qat/dynamic/modules/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/qat/dynamic/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/qat/dynamic/modules/linear.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/qat/dynamic/modules creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/qat copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/qat/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/qat creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/qat/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/qat/modules/conv_fused.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/qat/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/qat/modules/linear_fused.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/qat/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/qat/modules/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/qat/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/qat/modules/linear_relu.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/qat/modules creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/modules/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/modules/fused.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/modules creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/quantized copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/quantized/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/quantized creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/quantized/modules/conv_add.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/quantized/modules/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/quantized/modules/bn_relu.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/quantized/modules/conv_relu.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/dynamic copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/quantized/dynamic/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/dynamic creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/quantized/dynamic/modules/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/modules creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/functional.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/modules/functional_modules.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/modules/utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/modules/rnn.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/modules/dropout.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/modules/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/modules/normalization.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/modules/batchnorm.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/modules/embedding_ops.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/modules/conv.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/modules/activation.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/modules/linear.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/modules creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/reference copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/reference/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/reference creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/reference/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/reference/modules/utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/reference/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/reference/modules/rnn.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/reference/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/reference/modules/sparse.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/reference/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/reference/modules/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/reference/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/reference/modules/conv.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/reference/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/reference/modules/linear.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/reference/modules creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/dynamic copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/dynamic/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/dynamic creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/dynamic/modules/rnn.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/dynamic/modules/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/dynamic/modules/conv.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/dynamic/modules/linear.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantizable copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantizable/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantizable creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantizable/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantizable/modules/rnn.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantizable/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantizable/modules/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantizable/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantizable/modules/activation.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantizable/modules creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/ns copying build/lib.linux-x86_64-cpython-310/torch/ao/ns/_numeric_suite_fx.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/ns copying build/lib.linux-x86_64-cpython-310/torch/ao/ns/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/ns copying build/lib.linux-x86_64-cpython-310/torch/ao/ns/_numeric_suite.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/ns creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/ns/fx copying build/lib.linux-x86_64-cpython-310/torch/ao/ns/fx/utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/ns/fx copying build/lib.linux-x86_64-cpython-310/torch/ao/ns/fx/graph_matcher.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/ns/fx copying build/lib.linux-x86_64-cpython-310/torch/ao/ns/fx/n_shadows_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/ns/fx copying build/lib.linux-x86_64-cpython-310/torch/ao/ns/fx/qconfig_multi_mapping.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/ns/fx copying build/lib.linux-x86_64-cpython-310/torch/ao/ns/fx/pattern_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/ns/fx copying build/lib.linux-x86_64-cpython-310/torch/ao/ns/fx/graph_passes.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/ns/fx copying build/lib.linux-x86_64-cpython-310/torch/ao/ns/fx/ns_types.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/ns/fx copying build/lib.linux-x86_64-cpython-310/torch/ao/ns/fx/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/ns/fx copying build/lib.linux-x86_64-cpython-310/torch/ao/ns/fx/mappings.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/ns/fx copying build/lib.linux-x86_64-cpython-310/torch/ao/ns/fx/weight_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/ns/fx creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/quantize.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/quantize_jit.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fuse_modules.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/observer.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/qconfig.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/_equalize.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/quant_type.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/quantization_mappings.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/_quantize_pt2e.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/quantize_fx.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fuser_method_mappings.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/_learnable_fake_quantize.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/stubs.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/_correct_bias.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/qconfig_mapping.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fake_quantize.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx/custom_config.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx/utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx/_equalize.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx/fuse.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx/_lower_to_native_backend.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx/_decomposed.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx/prepare.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx/fuse_handler.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx/pattern_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx/qconfig_mapping_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx/graph_module.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx/tracer.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx/quantize_handler.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx/match_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx/lower_to_qnnpack.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx/convert.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx/lower_to_fbgemm.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx/_model_report copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx/_model_report/model_report_observer.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx/_model_report copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx/_model_report/model_report.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx/_model_report copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx/_model_report/detector.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx/_model_report copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx/_model_report/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx/_model_report copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx/_model_report/model_report_visualizer.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx/_model_report creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/backend_config copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/backend_config/_qnnpack_pt2e.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/backend_config copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/backend_config/native.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/backend_config copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/backend_config/fbgemm.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/backend_config copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/backend_config/observation_type.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/backend_config copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/backend_config/utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/backend_config copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/backend_config/_common_operator_config_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/backend_config copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/backend_config/backend_config.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/backend_config copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/backend_config/tensorrt.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/backend_config copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/backend_config/qnnpack.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/backend_config copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/backend_config/x86.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/backend_config copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/backend_config/onednn.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/backend_config copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/backend_config/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/backend_config copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/backend_config/executorch.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/backend_config creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/_pt2e copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/_pt2e/utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/_pt2e copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/_pt2e/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/_pt2e creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning copying build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_mappings.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning copying build/lib.linux-x86_64-cpython-310/torch/ao/pruning/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/sparsifier copying build/lib.linux-x86_64-cpython-310/torch/ao/pruning/sparsifier/base_sparsifier.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/sparsifier copying build/lib.linux-x86_64-cpython-310/torch/ao/pruning/sparsifier/utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/sparsifier copying build/lib.linux-x86_64-cpython-310/torch/ao/pruning/sparsifier/nearly_diagonal_sparsifier.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/sparsifier copying build/lib.linux-x86_64-cpython-310/torch/ao/pruning/sparsifier/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/sparsifier copying build/lib.linux-x86_64-cpython-310/torch/ao/pruning/sparsifier/weight_norm_sparsifier.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/sparsifier creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/scheduler copying build/lib.linux-x86_64-cpython-310/torch/ao/pruning/scheduler/lambda_scheduler.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/scheduler copying build/lib.linux-x86_64-cpython-310/torch/ao/pruning/scheduler/base_scheduler.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/scheduler copying build/lib.linux-x86_64-cpython-310/torch/ao/pruning/scheduler/cubic_scheduler.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/scheduler copying build/lib.linux-x86_64-cpython-310/torch/ao/pruning/scheduler/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/scheduler creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental copying build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/data_sparsifier copying build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/data_sparsifier copying build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/data_sparsifier/quantization_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/data_sparsifier copying build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/data_sparsifier/data_norm_sparsifier.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/data_sparsifier copying build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/data_sparsifier/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/data_sparsifier creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/data_sparsifier/lightning copying build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/data_sparsifier/lightning/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/data_sparsifier/lightning creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/data_sparsifier/lightning/callbacks copying build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/data_sparsifier/lightning/callbacks/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/data_sparsifier/lightning/callbacks copying build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/data_sparsifier/lightning/callbacks/data_sparsity.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/data_sparsifier/lightning/callbacks copying build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/data_sparsifier/lightning/callbacks/_data_sparstity_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/data_sparsifier/lightning/callbacks creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/activation_sparsifier copying build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/activation_sparsifier/activation_sparsifier.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/activation_sparsifier copying build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/activation_sparsifier/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/activation_sparsifier creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/data_scheduler copying build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/data_scheduler/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/data_scheduler copying build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/data_scheduler/base_data_scheduler.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/data_scheduler creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/pruner copying build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/pruner/saliency_pruner.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/pruner copying build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/pruner/base_structured_sparsifier.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/pruner copying build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/pruner/prune_functions.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/pruner copying build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/pruner/parametrization.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/pruner copying build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/pruner/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/pruner copying build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/pruner/lstm_saliency_pruner.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/pruner copying build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/pruner/match_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/pruner creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/autograd copying build/lib.linux-x86_64-cpython-310/torch/autograd/profiler_legacy.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/autograd copying build/lib.linux-x86_64-cpython-310/torch/autograd/forward_ad.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/autograd copying build/lib.linux-x86_64-cpython-310/torch/autograd/variable.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/autograd copying build/lib.linux-x86_64-cpython-310/torch/autograd/functional.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/autograd copying build/lib.linux-x86_64-cpython-310/torch/autograd/profiler_util.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/autograd copying build/lib.linux-x86_64-cpython-310/torch/autograd/anomaly_mode.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/autograd copying build/lib.linux-x86_64-cpython-310/torch/autograd/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/autograd copying build/lib.linux-x86_64-cpython-310/torch/autograd/grad_mode.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/autograd copying build/lib.linux-x86_64-cpython-310/torch/autograd/profiler.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/autograd copying build/lib.linux-x86_64-cpython-310/torch/autograd/graph.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/autograd copying build/lib.linux-x86_64-cpython-310/torch/autograd/gradcheck.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/autograd copying build/lib.linux-x86_64-cpython-310/torch/autograd/function.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/autograd creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/autograd/_functions copying build/lib.linux-x86_64-cpython-310/torch/autograd/_functions/utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/autograd/_functions copying build/lib.linux-x86_64-cpython-310/torch/autograd/_functions/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/autograd/_functions copying build/lib.linux-x86_64-cpython-310/torch/autograd/_functions/tensor.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/autograd/_functions creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends copying build/lib.linux-x86_64-cpython-310/torch/backends/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/mkldnn copying build/lib.linux-x86_64-cpython-310/torch/backends/mkldnn/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/mkldnn creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/opt_einsum copying build/lib.linux-x86_64-cpython-310/torch/backends/opt_einsum/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/opt_einsum creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/xnnpack copying build/lib.linux-x86_64-cpython-310/torch/backends/xnnpack/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/xnnpack creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/_coreml copying build/lib.linux-x86_64-cpython-310/torch/backends/_coreml/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/_coreml copying build/lib.linux-x86_64-cpython-310/torch/backends/_coreml/preprocess.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/_coreml creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/xeon copying build/lib.linux-x86_64-cpython-310/torch/backends/xeon/run_cpu.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/xeon copying build/lib.linux-x86_64-cpython-310/torch/backends/xeon/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/xeon creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/quantized copying build/lib.linux-x86_64-cpython-310/torch/backends/quantized/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/quantized creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/mps copying build/lib.linux-x86_64-cpython-310/torch/backends/mps/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/mps creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/openmp copying build/lib.linux-x86_64-cpython-310/torch/backends/openmp/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/openmp creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/cudnn copying build/lib.linux-x86_64-cpython-310/torch/backends/cudnn/rnn.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/cudnn copying build/lib.linux-x86_64-cpython-310/torch/backends/cudnn/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/cudnn creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/cuda copying build/lib.linux-x86_64-cpython-310/torch/backends/cuda/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/cuda creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/mkl copying build/lib.linux-x86_64-cpython-310/torch/backends/mkl/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/mkl creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/_nnapi copying build/lib.linux-x86_64-cpython-310/torch/backends/_nnapi/prepare.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/_nnapi copying build/lib.linux-x86_64-cpython-310/torch/backends/_nnapi/serializer.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/_nnapi copying build/lib.linux-x86_64-cpython-310/torch/backends/_nnapi/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/_nnapi creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/optim/adadelta.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/optim/lbfgs.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/optim/rmsprop.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/optim/sgd.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/optim/optimizer.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/optim/_functional.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/optim/radam.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/optim/adamw.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/optim/rprop.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/optim/asgd.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/optim/swa_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/optim/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/optim/lr_scheduler.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/optim/adagrad.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/optim/nadam.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/optim/adamax.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/optim/sparse_adam.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/optim/adam.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim/_multi_tensor copying build/lib.linux-x86_64-cpython-310/torch/optim/_multi_tensor/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim/_multi_tensor copying build/lib.linux-x86_64-cpython-310/torch/optim/asgd.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/optim/lr_scheduler.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/optim/__init__.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/optim/radam.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/optim/rmsprop.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/optim/lbfgs.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/optim/adadelta.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/optim/adamax.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/optim/adagrad.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/optim/sparse_adam.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/optim/optimizer.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/optim/adamw.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/optim/adam.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/optim/rprop.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/optim/sgd.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/optim/nadam.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/optim/swa_utils.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit copying build/lib.linux-x86_64-cpython-310/torch/jit/_recursive.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit copying build/lib.linux-x86_64-cpython-310/torch/jit/frontend.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit copying build/lib.linux-x86_64-cpython-310/torch/jit/_async.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit copying build/lib.linux-x86_64-cpython-310/torch/jit/_trace.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit copying build/lib.linux-x86_64-cpython-310/torch/jit/_decomposition_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit copying build/lib.linux-x86_64-cpython-310/torch/jit/unsupported_tensor_ops.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit copying build/lib.linux-x86_64-cpython-310/torch/jit/_decompositions.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit copying build/lib.linux-x86_64-cpython-310/torch/jit/annotations.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit copying build/lib.linux-x86_64-cpython-310/torch/jit/_check.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit copying build/lib.linux-x86_64-cpython-310/torch/jit/_shape_functions.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit copying build/lib.linux-x86_64-cpython-310/torch/jit/_monkeytype_config.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit copying build/lib.linux-x86_64-cpython-310/torch/jit/_await.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit copying build/lib.linux-x86_64-cpython-310/torch/jit/_logging.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit copying build/lib.linux-x86_64-cpython-310/torch/jit/supported_ops.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit copying build/lib.linux-x86_64-cpython-310/torch/jit/quantized.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit copying build/lib.linux-x86_64-cpython-310/torch/jit/_serialization.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit copying build/lib.linux-x86_64-cpython-310/torch/jit/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit copying build/lib.linux-x86_64-cpython-310/torch/jit/_state.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit copying build/lib.linux-x86_64-cpython-310/torch/jit/_builtins.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit copying build/lib.linux-x86_64-cpython-310/torch/jit/_dataclass_impls.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit copying build/lib.linux-x86_64-cpython-310/torch/jit/generate_bytecode.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit copying build/lib.linux-x86_64-cpython-310/torch/jit/_script.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit copying build/lib.linux-x86_64-cpython-310/torch/jit/_fuser.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit copying build/lib.linux-x86_64-cpython-310/torch/jit/_pickle.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit copying build/lib.linux-x86_64-cpython-310/torch/jit/_ir_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit copying build/lib.linux-x86_64-cpython-310/torch/jit/_freeze.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit/mobile copying build/lib.linux-x86_64-cpython-310/torch/jit/mobile/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit/mobile creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit/_passes copying build/lib.linux-x86_64-cpython-310/torch/jit/_passes/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit/_passes copying build/lib.linux-x86_64-cpython-310/torch/jit/_passes/_property_propagation.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit/_passes creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/futures copying build/lib.linux-x86_64-cpython-310/torch/futures/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/futures creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nested copying build/lib.linux-x86_64-cpython-310/torch/nested/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nested creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/_cuda_trace.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/_zip.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/_pytree.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/_cpp_extension_versioner.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/dlpack.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/mkldnn.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/checkpoint.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/_foreach_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/_crash_handler.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/_contextlib.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/show_pickle.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/backend_registration.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/hooks.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/_mode_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/model_zoo.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/cpp_extension.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/file_baton.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/_traceback.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/collect_env.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/_device.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/weak.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/_python_dispatch.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/throughput_benchmark.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/cpp_backtrace.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/_stats.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/_freeze.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/bundled_inputs.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/mobile_optimizer.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/model_dump copying build/lib.linux-x86_64-cpython-310/torch/utils/model_dump/__main__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/model_dump copying build/lib.linux-x86_64-cpython-310/torch/utils/model_dump/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/model_dump copying build/lib.linux-x86_64-cpython-310/torch/utils/model_dump/skeleton.html -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/model_dump copying build/lib.linux-x86_64-cpython-310/torch/utils/model_dump/code.js -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/model_dump copying build/lib.linux-x86_64-cpython-310/torch/utils/model_dump/preact.mjs -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/model_dump copying build/lib.linux-x86_64-cpython-310/torch/utils/model_dump/htm.mjs -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/model_dump creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/jit copying build/lib.linux-x86_64-cpython-310/torch/utils/jit/log_extract.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/jit copying build/lib.linux-x86_64-cpython-310/torch/utils/jit/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/jit creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/_sympy copying build/lib.linux-x86_64-cpython-310/torch/utils/_sympy/value_ranges.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/_sympy copying build/lib.linux-x86_64-cpython-310/torch/utils/_sympy/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/_sympy creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark copying build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/examples copying build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/examples/op_benchmark.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/examples copying build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/examples/blas_compare.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/examples copying build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/examples/simple_timeit.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/examples copying build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/examples/fuzzer.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/examples copying build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/examples/end_to_end.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/examples copying build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/examples/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/examples copying build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/examples/spectral_ops_fuzz_test.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/examples copying build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/examples/blas_compare_setup.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/examples copying build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/examples/compare.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/examples creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/utils/sparse_fuzzer.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/utils/timer.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/utils/_stubs.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/utils/fuzzer.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/utils/cpp_jit.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/utils/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/utils/common.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/utils/compare.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/utils creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/utils/valgrind_wrapper copying build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/utils/valgrind_wrapper/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/utils/valgrind_wrapper copying build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/utils/valgrind_wrapper/timer_interface.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/utils/valgrind_wrapper copying build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/utils/valgrind_wrapper/compat_bindings.cpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/utils/valgrind_wrapper copying build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/utils/valgrind_wrapper/timer_callgrind_template.cpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/utils/valgrind_wrapper copying build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/utils/valgrind_wrapper/callgrind.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/utils/valgrind_wrapper copying build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/utils/valgrind_wrapper/valgrind.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/utils/valgrind_wrapper copying build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/utils/timeit_template.cpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/utils creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/op_fuzzers copying build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/op_fuzzers/spectral.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/op_fuzzers copying build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/op_fuzzers/unary.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/op_fuzzers copying build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/op_fuzzers/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/op_fuzzers copying build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/op_fuzzers/sparse_unary.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/op_fuzzers copying build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/op_fuzzers/sparse_binary.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/op_fuzzers copying build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/op_fuzzers/binary.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/op_fuzzers creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/backcompat copying build/lib.linux-x86_64-cpython-310/torch/utils/backcompat/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/backcompat creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/bottleneck copying build/lib.linux-x86_64-cpython-310/torch/utils/bottleneck/__main__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/bottleneck copying build/lib.linux-x86_64-cpython-310/torch/utils/bottleneck/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/bottleneck creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data copying build/lib.linux-x86_64-cpython-310/torch/utils/data/distributed.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data copying build/lib.linux-x86_64-cpython-310/torch/utils/data/dataset.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data copying build/lib.linux-x86_64-cpython-310/torch/utils/data/graph_settings.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data copying build/lib.linux-x86_64-cpython-310/torch/utils/data/dataloader.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data copying build/lib.linux-x86_64-cpython-310/torch/utils/data/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data copying build/lib.linux-x86_64-cpython-310/torch/utils/data/graph.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data copying build/lib.linux-x86_64-cpython-310/torch/utils/data/sampler.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data copying build/lib.linux-x86_64-cpython-310/torch/utils/data/backward_compatibility.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes copying build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/_typing.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes copying build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/datapipe.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes copying build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/_hook_iterator.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes copying build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes copying build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/_decorator.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes copying build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/gen_pyi.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/map copying build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/map/utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/map copying build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/map/combining.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/map copying build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/map/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/map copying build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/map/combinatorics.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/map copying build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/map/grouping.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/map copying build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/map/callable.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/map creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/utils/decoder.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/utils/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/utils/common.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/utils/snapshot.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/utils creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/iter copying build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/iter/sharding.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/iter copying build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/iter/utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/iter copying build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/iter/combining.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/iter copying build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/iter/routeddecoder.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/iter copying build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/iter/filelister.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/iter copying build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/iter/fileopener.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/iter copying build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/iter/streamreader.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/iter copying build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/iter/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/iter copying build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/iter/selecting.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/iter copying build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/iter/combinatorics.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/iter copying build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/iter/grouping.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/iter copying build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/iter/callable.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/iter creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/dataframe copying build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/dataframe/dataframes.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/dataframe copying build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/dataframe/dataframe_wrapper.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/dataframe copying build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/dataframe/structures.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/dataframe copying build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/dataframe/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/dataframe copying build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/dataframe/datapipes.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/dataframe copying build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/datapipe.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/_utils copying build/lib.linux-x86_64-cpython-310/torch/utils/data/_utils/signal_handling.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/_utils copying build/lib.linux-x86_64-cpython-310/torch/utils/data/_utils/collate.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/_utils copying build/lib.linux-x86_64-cpython-310/torch/utils/data/_utils/serialization.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/_utils copying build/lib.linux-x86_64-cpython-310/torch/utils/data/_utils/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/_utils copying build/lib.linux-x86_64-cpython-310/torch/utils/data/_utils/fetch.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/_utils copying build/lib.linux-x86_64-cpython-310/torch/utils/data/_utils/worker.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/_utils copying build/lib.linux-x86_64-cpython-310/torch/utils/data/_utils/pin_memory.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/_utils creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/hipify copying build/lib.linux-x86_64-cpython-310/torch/utils/hipify/hipify_python.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/hipify copying build/lib.linux-x86_64-cpython-310/torch/utils/hipify/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/hipify copying build/lib.linux-x86_64-cpython-310/torch/utils/hipify/version.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/hipify copying build/lib.linux-x86_64-cpython-310/torch/utils/hipify/cuda_to_hip_mappings.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/hipify copying build/lib.linux-x86_64-cpython-310/torch/utils/hipify/constants.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/hipify creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/tensorboard copying build/lib.linux-x86_64-cpython-310/torch/utils/tensorboard/_proto_graph.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/tensorboard copying build/lib.linux-x86_64-cpython-310/torch/utils/tensorboard/_convert_np.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/tensorboard copying build/lib.linux-x86_64-cpython-310/torch/utils/tensorboard/summary.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/tensorboard copying build/lib.linux-x86_64-cpython-310/torch/utils/tensorboard/_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/tensorboard copying build/lib.linux-x86_64-cpython-310/torch/utils/tensorboard/_embedding.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/tensorboard copying build/lib.linux-x86_64-cpython-310/torch/utils/tensorboard/_caffe2_graph.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/tensorboard copying build/lib.linux-x86_64-cpython-310/torch/utils/tensorboard/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/tensorboard copying build/lib.linux-x86_64-cpython-310/torch/utils/tensorboard/writer.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/tensorboard copying build/lib.linux-x86_64-cpython-310/torch/utils/tensorboard/_pytorch_graph.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/tensorboard copying build/lib.linux-x86_64-cpython-310/torch/utils/tensorboard/_onnx_graph.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/tensorboard creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_subclasses copying build/lib.linux-x86_64-cpython-310/torch/_subclasses/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_subclasses copying build/lib.linux-x86_64-cpython-310/torch/_subclasses/meta_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_subclasses copying build/lib.linux-x86_64-cpython-310/torch/_subclasses/fake_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_subclasses copying build/lib.linux-x86_64-cpython-310/torch/_subclasses/fake_tensor.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_subclasses creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/multiprocessing copying build/lib.linux-x86_64-cpython-310/torch/multiprocessing/spawn.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/multiprocessing copying build/lib.linux-x86_64-cpython-310/torch/multiprocessing/_atfork.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/multiprocessing copying build/lib.linux-x86_64-cpython-310/torch/multiprocessing/reductions.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/multiprocessing copying build/lib.linux-x86_64-cpython-310/torch/multiprocessing/queue.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/multiprocessing copying build/lib.linux-x86_64-cpython-310/torch/multiprocessing/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/multiprocessing copying build/lib.linux-x86_64-cpython-310/torch/multiprocessing/pool.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/multiprocessing creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/linalg copying build/lib.linux-x86_64-cpython-310/torch/linalg/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/linalg creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_awaits copying build/lib.linux-x86_64-cpython-310/torch/_awaits/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_awaits creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/profiler copying build/lib.linux-x86_64-cpython-310/torch/profiler/itt.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/profiler copying build/lib.linux-x86_64-cpython-310/torch/profiler/_memory_profiler.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/profiler copying build/lib.linux-x86_64-cpython-310/torch/profiler/_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/profiler copying build/lib.linux-x86_64-cpython-310/torch/profiler/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/profiler copying build/lib.linux-x86_64-cpython-310/torch/profiler/_pattern_matcher.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/profiler copying build/lib.linux-x86_64-cpython-310/torch/profiler/profiler.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/profiler copying build/lib.linux-x86_64-cpython-310/torch/profiler/python_tracer.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/profiler creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx copying build/lib.linux-x86_64-cpython-310/torch/fx/_pytree.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx copying build/lib.linux-x86_64-cpython-310/torch/fx/operator_schemas.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx copying build/lib.linux-x86_64-cpython-310/torch/fx/traceback.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx copying build/lib.linux-x86_64-cpython-310/torch/fx/_compatibility.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx copying build/lib.linux-x86_64-cpython-310/torch/fx/tensor_type.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx copying build/lib.linux-x86_64-cpython-310/torch/fx/annotate.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx copying build/lib.linux-x86_64-cpython-310/torch/fx/proxy.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx copying build/lib.linux-x86_64-cpython-310/torch/fx/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx copying build/lib.linux-x86_64-cpython-310/torch/fx/graph_module.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx copying build/lib.linux-x86_64-cpython-310/torch/fx/_symbolic_trace.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx copying build/lib.linux-x86_64-cpython-310/torch/fx/graph.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx copying build/lib.linux-x86_64-cpython-310/torch/fx/interpreter.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx copying build/lib.linux-x86_64-cpython-310/torch/fx/subgraph_rewriter.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx copying build/lib.linux-x86_64-cpython-310/torch/fx/config.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx copying build/lib.linux-x86_64-cpython-310/torch/fx/node.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx copying build/lib.linux-x86_64-cpython-310/torch/fx/immutable_collections.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental copying build/lib.linux-x86_64-cpython-310/torch/fx/experimental/normalize.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental copying build/lib.linux-x86_64-cpython-310/torch/fx/experimental/optimization.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental copying build/lib.linux-x86_64-cpython-310/torch/fx/experimental/merge_matmul.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental copying build/lib.linux-x86_64-cpython-310/torch/fx/experimental/symbolic_shapes.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental copying build/lib.linux-x86_64-cpython-310/torch/fx/experimental/rewriter.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental copying build/lib.linux-x86_64-cpython-310/torch/fx/experimental/graph_gradual_typechecker.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental copying build/lib.linux-x86_64-cpython-310/torch/fx/experimental/debug.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental copying build/lib.linux-x86_64-cpython-310/torch/fx/experimental/unify_refinements.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental copying build/lib.linux-x86_64-cpython-310/torch/fx/experimental/partitioner_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental copying build/lib.linux-x86_64-cpython-310/torch/fx/experimental/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental copying build/lib.linux-x86_64-cpython-310/torch/fx/experimental/proxy_tensor.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental copying build/lib.linux-x86_64-cpython-310/torch/fx/experimental/schema_type_annotation.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental copying build/lib.linux-x86_64-cpython-310/torch/fx/experimental/accelerator_partitioner.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental copying build/lib.linux-x86_64-cpython-310/torch/fx/experimental/const_fold.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental copying build/lib.linux-x86_64-cpython-310/torch/fx/experimental/meta_tracer.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental copying build/lib.linux-x86_64-cpython-310/torch/fx/experimental/refinement_types.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/migrate_gradual_types copying build/lib.linux-x86_64-cpython-310/torch/fx/experimental/migrate_gradual_types/constraint_generator.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/migrate_gradual_types copying build/lib.linux-x86_64-cpython-310/torch/fx/experimental/migrate_gradual_types/constraint_transformation.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/migrate_gradual_types copying build/lib.linux-x86_64-cpython-310/torch/fx/experimental/migrate_gradual_types/z3_types.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/migrate_gradual_types copying build/lib.linux-x86_64-cpython-310/torch/fx/experimental/migrate_gradual_types/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/migrate_gradual_types copying build/lib.linux-x86_64-cpython-310/torch/fx/experimental/migrate_gradual_types/transform_to_z3.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/migrate_gradual_types copying build/lib.linux-x86_64-cpython-310/torch/fx/experimental/migrate_gradual_types/util.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/migrate_gradual_types copying build/lib.linux-x86_64-cpython-310/torch/fx/experimental/migrate_gradual_types/operation.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/migrate_gradual_types copying build/lib.linux-x86_64-cpython-310/torch/fx/experimental/migrate_gradual_types/constraint.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/migrate_gradual_types creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/unification copying build/lib.linux-x86_64-cpython-310/torch/fx/experimental/unification/variable.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/unification copying build/lib.linux-x86_64-cpython-310/torch/fx/experimental/unification/utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/unification copying build/lib.linux-x86_64-cpython-310/torch/fx/experimental/unification/match.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/unification copying build/lib.linux-x86_64-cpython-310/torch/fx/experimental/unification/more.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/unification copying build/lib.linux-x86_64-cpython-310/torch/fx/experimental/unification/core.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/unification copying build/lib.linux-x86_64-cpython-310/torch/fx/experimental/unification/unification_tools.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/unification copying build/lib.linux-x86_64-cpython-310/torch/fx/experimental/unification/dispatch.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/unification copying build/lib.linux-x86_64-cpython-310/torch/fx/experimental/unification/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/unification creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch copying build/lib.linux-x86_64-cpython-310/torch/fx/experimental/unification/multipledispatch/dispatcher.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch copying build/lib.linux-x86_64-cpython-310/torch/fx/experimental/unification/multipledispatch/utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch copying build/lib.linux-x86_64-cpython-310/torch/fx/experimental/unification/multipledispatch/core.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch copying build/lib.linux-x86_64-cpython-310/torch/fx/experimental/unification/multipledispatch/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch copying build/lib.linux-x86_64-cpython-310/torch/fx/experimental/unification/multipledispatch/conflict.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch copying build/lib.linux-x86_64-cpython-310/torch/fx/experimental/unification/multipledispatch/variadic.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes copying build/lib.linux-x86_64-cpython-310/torch/fx/passes/graph_drawer.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes copying build/lib.linux-x86_64-cpython-310/torch/fx/passes/splitter_base.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes copying build/lib.linux-x86_64-cpython-310/torch/fx/passes/tools_common.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes copying build/lib.linux-x86_64-cpython-310/torch/fx/passes/split_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes copying build/lib.linux-x86_64-cpython-310/torch/fx/passes/annotate_getitem_nodes.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes copying build/lib.linux-x86_64-cpython-310/torch/fx/passes/fake_tensor_prop.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes copying build/lib.linux-x86_64-cpython-310/torch/fx/passes/operator_support.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes copying build/lib.linux-x86_64-cpython-310/torch/fx/passes/param_fetch.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes copying build/lib.linux-x86_64-cpython-310/torch/fx/passes/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes copying build/lib.linux-x86_64-cpython-310/torch/fx/passes/reinplace.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes copying build/lib.linux-x86_64-cpython-310/torch/fx/passes/split_module.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes copying build/lib.linux-x86_64-cpython-310/torch/fx/passes/graph_manipulation.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes copying build/lib.linux-x86_64-cpython-310/torch/fx/passes/net_min_base.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes copying build/lib.linux-x86_64-cpython-310/torch/fx/passes/shape_prop.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes copying build/lib.linux-x86_64-cpython-310/torch/fx/passes/pass_manager.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/dialect copying build/lib.linux-x86_64-cpython-310/torch/fx/passes/dialect/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/dialect creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/dialect/common copying build/lib.linux-x86_64-cpython-310/torch/fx/passes/dialect/common/cse_pass.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/dialect/common copying build/lib.linux-x86_64-cpython-310/torch/fx/passes/dialect/common/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/dialect/common creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/backends copying build/lib.linux-x86_64-cpython-310/torch/fx/passes/backends/cudagraphs.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/backends copying build/lib.linux-x86_64-cpython-310/torch/fx/passes/backends/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/backends creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/infra copying build/lib.linux-x86_64-cpython-310/torch/fx/passes/infra/partitioner.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/infra copying build/lib.linux-x86_64-cpython-310/torch/fx/passes/infra/pass_base.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/infra copying build/lib.linux-x86_64-cpython-310/torch/fx/passes/infra/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/infra copying build/lib.linux-x86_64-cpython-310/torch/fx/passes/infra/pass_manager.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/infra creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/utils copying build/lib.linux-x86_64-cpython-310/torch/fx/passes/utils/matcher_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/utils copying build/lib.linux-x86_64-cpython-310/torch/fx/passes/utils/fuser_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/utils copying build/lib.linux-x86_64-cpython-310/torch/fx/passes/utils/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/utils copying build/lib.linux-x86_64-cpython-310/torch/fx/passes/utils/common.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/utils creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/tests copying build/lib.linux-x86_64-cpython-310/torch/fx/passes/tests/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/tests copying build/lib.linux-x86_64-cpython-310/torch/fx/passes/tests/test_pass_manager.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/tests creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/special copying build/lib.linux-x86_64-cpython-310/torch/special/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/special creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/amp copying build/lib.linux-x86_64-cpython-310/torch/amp/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/amp copying build/lib.linux-x86_64-cpython-310/torch/amp/autocast_mode.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/amp creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_export copying build/lib.linux-x86_64-cpython-310/torch/_export/logical_schema.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_export copying build/lib.linux-x86_64-cpython-310/torch/_export/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_export creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_decomp copying build/lib.linux-x86_64-cpython-310/torch/_decomp/decompositions.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_decomp copying build/lib.linux-x86_64-cpython-310/torch/_decomp/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_decomp copying build/lib.linux-x86_64-cpython-310/torch/_decomp/decompositions_for_jvp.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_decomp creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/monitor copying build/lib.linux-x86_64-cpython-310/torch/monitor/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/monitor creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package copying build/lib.linux-x86_64-cpython-310/torch/package/glob_group.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package copying build/lib.linux-x86_64-cpython-310/torch/package/_stdlib.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package copying build/lib.linux-x86_64-cpython-310/torch/package/package_importer.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package copying build/lib.linux-x86_64-cpython-310/torch/package/_directory_reader.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package copying build/lib.linux-x86_64-cpython-310/torch/package/file_structure_representation.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package copying build/lib.linux-x86_64-cpython-310/torch/package/_digraph.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package copying build/lib.linux-x86_64-cpython-310/torch/package/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package copying build/lib.linux-x86_64-cpython-310/torch/package/importer.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package copying build/lib.linux-x86_64-cpython-310/torch/package/package_exporter.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package copying build/lib.linux-x86_64-cpython-310/torch/package/find_file_dependencies.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package copying build/lib.linux-x86_64-cpython-310/torch/package/_mangling.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package copying build/lib.linux-x86_64-cpython-310/torch/package/_mock.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package copying build/lib.linux-x86_64-cpython-310/torch/package/_importlib.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package copying build/lib.linux-x86_64-cpython-310/torch/package/_package_unpickler.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package copying build/lib.linux-x86_64-cpython-310/torch/package/_package_pickler.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package/analyze copying build/lib.linux-x86_64-cpython-310/torch/package/analyze/is_from_package.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package/analyze copying build/lib.linux-x86_64-cpython-310/torch/package/analyze/trace_dependencies.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package/analyze copying build/lib.linux-x86_64-cpython-310/torch/package/analyze/find_first_use_of_broken_modules.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package/analyze copying build/lib.linux-x86_64-cpython-310/torch/package/analyze/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package/analyze creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/mps copying build/lib.linux-x86_64-cpython-310/torch/mps/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/mps creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_prims copying build/lib.linux-x86_64-cpython-310/torch/_prims/executor.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_prims copying build/lib.linux-x86_64-cpython-310/torch/_prims/nvfuser_executor.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_prims copying build/lib.linux-x86_64-cpython-310/torch/_prims/context.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_prims copying build/lib.linux-x86_64-cpython-310/torch/_prims/nvfuser_prims.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_prims copying build/lib.linux-x86_64-cpython-310/torch/_prims/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_prims creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx copying build/lib.linux-x86_64-cpython-310/torch/onnx/symbolic_opset8.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx copying build/lib.linux-x86_64-cpython-310/torch/onnx/_experimental.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx copying build/lib.linux-x86_64-cpython-310/torch/onnx/utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx copying build/lib.linux-x86_64-cpython-310/torch/onnx/symbolic_opset15.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx copying build/lib.linux-x86_64-cpython-310/torch/onnx/verification.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx copying build/lib.linux-x86_64-cpython-310/torch/onnx/symbolic_opset10.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx copying build/lib.linux-x86_64-cpython-310/torch/onnx/symbolic_helper.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx copying build/lib.linux-x86_64-cpython-310/torch/onnx/_type_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx copying build/lib.linux-x86_64-cpython-310/torch/onnx/symbolic_opset17.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx copying build/lib.linux-x86_64-cpython-310/torch/onnx/symbolic_opset16.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx copying build/lib.linux-x86_64-cpython-310/torch/onnx/_onnx_supported_ops.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx copying build/lib.linux-x86_64-cpython-310/torch/onnx/errors.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx copying build/lib.linux-x86_64-cpython-310/torch/onnx/_exporter_states.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx copying build/lib.linux-x86_64-cpython-310/torch/onnx/symbolic_opset18.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx copying build/lib.linux-x86_64-cpython-310/torch/onnx/_globals.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx copying build/lib.linux-x86_64-cpython-310/torch/onnx/symbolic_opset12.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx copying build/lib.linux-x86_64-cpython-310/torch/onnx/operators.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx copying build/lib.linux-x86_64-cpython-310/torch/onnx/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx copying build/lib.linux-x86_64-cpython-310/torch/onnx/symbolic_opset11.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx copying build/lib.linux-x86_64-cpython-310/torch/onnx/symbolic_opset13.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx copying build/lib.linux-x86_64-cpython-310/torch/onnx/symbolic_opset14.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx copying build/lib.linux-x86_64-cpython-310/torch/onnx/_deprecation.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx copying build/lib.linux-x86_64-cpython-310/torch/onnx/symbolic_opset9.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx copying build/lib.linux-x86_64-cpython-310/torch/onnx/_constants.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx copying build/lib.linux-x86_64-cpython-310/torch/onnx/symbolic_caffe2.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx copying build/lib.linux-x86_64-cpython-310/torch/onnx/symbolic_opset7.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/onnx_proto_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/jit_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/registration.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/_beartype.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/fx copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/fx/diagnostics.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/fx copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/fx/context.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/fx copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/fx/exporter.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/fx copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/fx/options.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/fx copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/fx/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/fx copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/fx/function_dispatcher.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/fx creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/_rules.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/_diagnostic.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/_infra.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/formatter.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/engine.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/decorator.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_graph_traversal.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_message.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_artifact_change.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_version_control_details.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_external_properties.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_result.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_tool_component_reference.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_reporting_descriptor.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_node.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_location.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_run.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_rectangle.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_run_automation_details.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_artifact_content.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_configuration_override.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_conversion.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_edge.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_sarif_log.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_exception.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_edge_traversal.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_result_provenance.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_thread_flow.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_suppression.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_reporting_descriptor_reference.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_web_response.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_fix.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_special_locations.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_external_property_file_references.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_notification.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_replacement.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_invocation.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_web_request.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_graph.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_stack.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_tool.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_multiformat_message_string.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_code_flow.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/version.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_logical_location.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_external_property_file_reference.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_region.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_property_bag.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_translation_metadata.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_stack_frame.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_thread_flow_location.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_artifact_location.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_tool_component.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_location_relationship.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_artifact.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_reporting_descriptor_relationship.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_address.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_physical_location.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_attachment.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_reporting_configuration.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing copying build/lib.linux-x86_64-cpython-310/torch/testing/_comparison.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing copying build/lib.linux-x86_64-cpython-310/torch/testing/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing copying build/lib.linux-x86_64-cpython-310/torch/testing/_creation.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/common_modules.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/logging_tensor.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/composite_compliance.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/common_fsdp.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/common_dist_composable.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/common_device_type.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/common_quantization.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/common_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/common_jit.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/check_kernel_launches.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/common_quantized.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/common_methods_invocations.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/autograd_function_db.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/inductor_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/common_distributed.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/common_subclass.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/common_pruning.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/quantization_torch_package_models.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/jit_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/autocast_test_lists.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/common_cuda.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/common_dtype.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/schema_check_mode.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/dist_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/hypothesis_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/jit_metaprogramming_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/common_nn.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/generated copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/generated/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/generated copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/generated/annotated_fn_args.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/generated creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/codegen copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/codegen/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/codegen copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/codegen/random_topo_test.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/codegen creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/data copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/data/network2.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/data copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/data/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/data copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/data/network1.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/data creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/opinfo copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/opinfo/utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/opinfo copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/opinfo/core.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/opinfo copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/opinfo/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/opinfo copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/opinfo/refs.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/opinfo creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/opinfo/definitions copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/opinfo/definitions/signal.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/opinfo/definitions copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/opinfo/definitions/linalg.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/opinfo/definitions copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/opinfo/definitions/_masked.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/opinfo/definitions copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/opinfo/definitions/special.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/opinfo/definitions copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/opinfo/definitions/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/opinfo/definitions copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/opinfo/definitions/fft.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/opinfo/definitions creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/distributed_test.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/ddp_under_dist_autograd_test.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/distributed_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/pipe_with_ddp_test.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/rpc_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/multi_threaded_pg.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/checkpoint_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/nn copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/nn/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/nn creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/nn/api copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/nn/api/remote_module_test.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/nn/api copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/nn/api/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/nn/api creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/_tensor copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/_tensor/common_dtensor.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/_tensor copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/_tensor/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/_tensor creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/pipeline copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/pipeline/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/pipeline creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/_shard copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/_shard/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/_shard copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/_shard/test_common.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/_shard creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/_shard/sharded_tensor copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/_shard/sharded_tensor/_test_st_common.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/_shard/sharded_tensor copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/_shard/sharded_tensor/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/_shard/sharded_tensor copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/_shard/sharded_tensor/_test_ops_common.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/_shard/sharded_tensor creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/rpc/dist_optimizer_test.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/rpc/rpc_test.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/rpc/faulty_rpc_agent_test_fixture.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/rpc/faulty_agent_rpc_test.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/rpc/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/rpc/dist_autograd_test.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/rpc/rpc_agent_test_fixture.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/rpc/tensorpipe_rpc_agent_test_fixture.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/rpc creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/rpc/examples copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/rpc/examples/parameter_server_test.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/rpc/examples copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/rpc/examples/reinforcement_learning_rpc_test.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/rpc/examples copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/rpc/examples/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/rpc/examples creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/rpc/jit copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/rpc/jit/rpc_test_faulty.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/rpc/jit copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/rpc/jit/rpc_test.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/rpc/jit copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/rpc/jit/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/rpc/jit copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/rpc/jit/dist_autograd_test.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/rpc/jit creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/test_module copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/test_module/no_future_div.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/test_module copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/test_module/future_div.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/test_module copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/test_module/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/test_module creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization copying build/lib.linux-x86_64-cpython-310/torch/quantization/quantize.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization copying build/lib.linux-x86_64-cpython-310/torch/quantization/quantize_jit.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization copying build/lib.linux-x86_64-cpython-310/torch/quantization/fuse_modules.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization copying build/lib.linux-x86_64-cpython-310/torch/quantization/_numeric_suite_fx.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization copying build/lib.linux-x86_64-cpython-310/torch/quantization/utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization copying build/lib.linux-x86_64-cpython-310/torch/quantization/observer.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization copying build/lib.linux-x86_64-cpython-310/torch/quantization/qconfig.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization copying build/lib.linux-x86_64-cpython-310/torch/quantization/quant_type.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization copying build/lib.linux-x86_64-cpython-310/torch/quantization/quantization_mappings.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization copying build/lib.linux-x86_64-cpython-310/torch/quantization/quantize_fx.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization copying build/lib.linux-x86_64-cpython-310/torch/quantization/fuser_method_mappings.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization copying build/lib.linux-x86_64-cpython-310/torch/quantization/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization copying build/lib.linux-x86_64-cpython-310/torch/quantization/_numeric_suite.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization copying build/lib.linux-x86_64-cpython-310/torch/quantization/stubs.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization copying build/lib.linux-x86_64-cpython-310/torch/quantization/fake_quantize.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/fx copying build/lib.linux-x86_64-cpython-310/torch/quantization/fx/utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/fx copying build/lib.linux-x86_64-cpython-310/torch/quantization/fx/_equalize.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/fx copying build/lib.linux-x86_64-cpython-310/torch/quantization/fx/fuse.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/fx copying build/lib.linux-x86_64-cpython-310/torch/quantization/fx/fusion_patterns.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/fx copying build/lib.linux-x86_64-cpython-310/torch/quantization/fx/prepare.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/fx copying build/lib.linux-x86_64-cpython-310/torch/quantization/fx/quantization_types.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/fx copying build/lib.linux-x86_64-cpython-310/torch/quantization/fx/pattern_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/fx copying build/lib.linux-x86_64-cpython-310/torch/quantization/fx/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/fx copying build/lib.linux-x86_64-cpython-310/torch/quantization/fx/graph_module.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/fx copying build/lib.linux-x86_64-cpython-310/torch/quantization/fx/quantization_patterns.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/fx copying build/lib.linux-x86_64-cpython-310/torch/quantization/fx/match_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/fx copying build/lib.linux-x86_64-cpython-310/torch/quantization/fx/convert.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/fx creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed copying build/lib.linux-x86_64-cpython-310/torch/distributed/launch.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed copying build/lib.linux-x86_64-cpython-310/torch/distributed/utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed copying build/lib.linux-x86_64-cpython-310/torch/distributed/c10d_error_logger.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed copying build/lib.linux-x86_64-cpython-310/torch/distributed/remote_device.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed copying build/lib.linux-x86_64-cpython-310/torch/distributed/rendezvous.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed copying build/lib.linux-x86_64-cpython-310/torch/distributed/logging_handlers.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed copying build/lib.linux-x86_64-cpython-310/torch/distributed/argparse_util.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed copying build/lib.linux-x86_64-cpython-310/torch/distributed/_composable_state.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed copying build/lib.linux-x86_64-cpython-310/torch/distributed/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed copying build/lib.linux-x86_64-cpython-310/torch/distributed/distributed_c10d.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed copying build/lib.linux-x86_64-cpython-310/torch/distributed/run.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed copying build/lib.linux-x86_64-cpython-310/torch/distributed/constants.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/checkpoint copying build/lib.linux-x86_64-cpython-310/torch/distributed/checkpoint/planner_helpers.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/checkpoint copying build/lib.linux-x86_64-cpython-310/torch/distributed/checkpoint/storage.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/checkpoint copying build/lib.linux-x86_64-cpython-310/torch/distributed/checkpoint/optimizer.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/checkpoint copying build/lib.linux-x86_64-cpython-310/torch/distributed/checkpoint/utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/checkpoint copying build/lib.linux-x86_64-cpython-310/torch/distributed/checkpoint/_traverse.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/checkpoint copying build/lib.linux-x86_64-cpython-310/torch/distributed/checkpoint/_sharded_tensor_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/checkpoint copying build/lib.linux-x86_64-cpython-310/torch/distributed/checkpoint/planner.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/checkpoint copying build/lib.linux-x86_64-cpython-310/torch/distributed/checkpoint/_nested_dict.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/checkpoint copying build/lib.linux-x86_64-cpython-310/torch/distributed/checkpoint/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/checkpoint copying build/lib.linux-x86_64-cpython-310/torch/distributed/checkpoint/filesystem.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/checkpoint copying build/lib.linux-x86_64-cpython-310/torch/distributed/checkpoint/_dedup_tensors.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/checkpoint copying build/lib.linux-x86_64-cpython-310/torch/distributed/checkpoint/metadata.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/checkpoint copying build/lib.linux-x86_64-cpython-310/torch/distributed/checkpoint/default_planner.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/checkpoint copying build/lib.linux-x86_64-cpython-310/torch/distributed/checkpoint/state_dict_saver.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/checkpoint copying build/lib.linux-x86_64-cpython-310/torch/distributed/checkpoint/resharding.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/checkpoint copying build/lib.linux-x86_64-cpython-310/torch/distributed/checkpoint/state_dict_loader.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/checkpoint copying build/lib.linux-x86_64-cpython-310/torch/distributed/checkpoint/api.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/checkpoint creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp copying build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp/wrap.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp copying build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp/_trace_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp copying build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp/_fsdp_extensions.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp copying build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp/_state_dict_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp copying build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp/_limiter_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp copying build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp/_traversal_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp copying build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp/_unshard_param_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp copying build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp/_init_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp copying build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp/_shard_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp copying build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp/_dynamo_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp copying build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp/_common_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp copying build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp/_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp copying build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp copying build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp/fully_sharded_data_parallel.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp copying build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp/_exec_order_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp copying build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp/_runtime_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp copying build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp/sharded_grad_scaler.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp copying build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp/api.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp copying build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp/flat_param.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp copying build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp/_wrap_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp copying build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp/_optim_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms copying build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/join.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms copying build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/_checkpoint copying build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/_checkpoint/checkpoint_wrapper.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/_checkpoint copying build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/_checkpoint/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/_checkpoint creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/model_averaging copying build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/model_averaging/utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/model_averaging copying build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/model_averaging/hierarchical_model_averager.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/model_averaging copying build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/model_averaging/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/model_averaging copying build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/model_averaging/averagers.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/model_averaging creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/_comm_hooks copying build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/_comm_hooks/default_hooks.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/_comm_hooks copying build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/_comm_hooks/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/_comm_hooks creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks copying build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/ddp_comm_hooks/ddp_zero_hook.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks copying build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/ddp_comm_hooks/optimizer_overlap_hooks.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks copying build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks copying build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/ddp_comm_hooks/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks copying build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/ddp_comm_hooks/quantization_hooks.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks copying build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/ddp_comm_hooks/powerSGD_hook.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks copying build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/ddp_comm_hooks/post_localSGD_hook.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks copying build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/ddp_comm_hooks/debugging_hooks.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/_quantization copying build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/_quantization/quantization.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/_quantization copying build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/_quantization/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/_quantization creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/_optimizer_overlap copying build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/_optimizer_overlap/optimizer_overlap.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/_optimizer_overlap copying build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/_optimizer_overlap/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/_optimizer_overlap creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/nn copying build/lib.linux-x86_64-cpython-310/torch/distributed/nn/functional.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/nn copying build/lib.linux-x86_64-cpython-310/torch/distributed/nn/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/nn creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/nn/jit copying build/lib.linux-x86_64-cpython-310/torch/distributed/nn/jit/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/nn/jit copying build/lib.linux-x86_64-cpython-310/torch/distributed/nn/jit/instantiator.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/nn/jit creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/nn/jit/templates copying build/lib.linux-x86_64-cpython-310/torch/distributed/nn/jit/templates/remote_module_template.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/nn/jit/templates copying build/lib.linux-x86_64-cpython-310/torch/distributed/nn/jit/templates/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/nn/jit/templates creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/nn/api copying build/lib.linux-x86_64-cpython-310/torch/distributed/nn/api/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/nn/api copying build/lib.linux-x86_64-cpython-310/torch/distributed/nn/api/remote_module.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/nn/api creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/launcher copying build/lib.linux-x86_64-cpython-310/torch/distributed/launcher/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/launcher copying build/lib.linux-x86_64-cpython-310/torch/distributed/launcher/api.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/launcher creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/autograd copying build/lib.linux-x86_64-cpython-310/torch/distributed/autograd/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/autograd creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_sharding_spec copying build/lib.linux-x86_64-cpython-310/torch/distributed/_sharding_spec/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_sharding_spec creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/optim copying build/lib.linux-x86_64-cpython-310/torch/distributed/optim/post_localSGD_optimizer.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/optim copying build/lib.linux-x86_64-cpython-310/torch/distributed/optim/optimizer.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/optim copying build/lib.linux-x86_64-cpython-310/torch/distributed/optim/utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/optim copying build/lib.linux-x86_64-cpython-310/torch/distributed/optim/functional_adam.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/optim copying build/lib.linux-x86_64-cpython-310/torch/distributed/optim/functional_sgd.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/optim copying build/lib.linux-x86_64-cpython-310/torch/distributed/optim/zero_redundancy_optimizer.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/optim copying build/lib.linux-x86_64-cpython-310/torch/distributed/optim/functional_rprop.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/optim copying build/lib.linux-x86_64-cpython-310/torch/distributed/optim/named_optimizer.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/optim copying build/lib.linux-x86_64-cpython-310/torch/distributed/optim/functional_rmsprop.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/optim copying build/lib.linux-x86_64-cpython-310/torch/distributed/optim/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/optim copying build/lib.linux-x86_64-cpython-310/torch/distributed/optim/functional_adamax.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/optim copying build/lib.linux-x86_64-cpython-310/torch/distributed/optim/apply_optimizer_in_backward.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/optim copying build/lib.linux-x86_64-cpython-310/torch/distributed/optim/functional_adadelta.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/optim copying build/lib.linux-x86_64-cpython-310/torch/distributed/optim/functional_adagrad.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/optim copying build/lib.linux-x86_64-cpython-310/torch/distributed/optim/functional_adamw.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/optim creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_composable copying build/lib.linux-x86_64-cpython-310/torch/distributed/_composable/checkpoint_activation.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_composable copying build/lib.linux-x86_64-cpython-310/torch/distributed/_composable/contract.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_composable copying build/lib.linux-x86_64-cpython-310/torch/distributed/_composable/_ddp.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_composable copying build/lib.linux-x86_64-cpython-310/torch/distributed/_composable/replicate.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_composable copying build/lib.linux-x86_64-cpython-310/torch/distributed/_composable/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_composable copying build/lib.linux-x86_64-cpython-310/torch/distributed/_composable/fully_shard.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_composable creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_tensor copying build/lib.linux-x86_64-cpython-310/torch/distributed/_tensor/redistribute.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_tensor copying build/lib.linux-x86_64-cpython-310/torch/distributed/_tensor/placement_types.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_tensor copying build/lib.linux-x86_64-cpython-310/torch/distributed/_tensor/dispatch.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_tensor copying build/lib.linux-x86_64-cpython-310/torch/distributed/_tensor/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_tensor copying build/lib.linux-x86_64-cpython-310/torch/distributed/_tensor/op_schema.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_tensor copying build/lib.linux-x86_64-cpython-310/torch/distributed/_tensor/device_mesh.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_tensor copying build/lib.linux-x86_64-cpython-310/torch/distributed/_tensor/sharding_prop.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_tensor copying build/lib.linux-x86_64-cpython-310/torch/distributed/_tensor/api.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_tensor creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_tensor/ops copying build/lib.linux-x86_64-cpython-310/torch/distributed/_tensor/ops/matrix_ops.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_tensor/ops copying build/lib.linux-x86_64-cpython-310/torch/distributed/_tensor/ops/utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_tensor/ops copying build/lib.linux-x86_64-cpython-310/torch/distributed/_tensor/ops/math_ops.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_tensor/ops copying build/lib.linux-x86_64-cpython-310/torch/distributed/_tensor/ops/pointwise_ops.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_tensor/ops copying build/lib.linux-x86_64-cpython-310/torch/distributed/_tensor/ops/view_ops.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_tensor/ops copying build/lib.linux-x86_64-cpython-310/torch/distributed/_tensor/ops/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_tensor/ops copying build/lib.linux-x86_64-cpython-310/torch/distributed/_tensor/ops/tensor_ops.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_tensor/ops copying build/lib.linux-x86_64-cpython-310/torch/distributed/_tensor/ops/common_rules.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_tensor/ops creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/tensor copying build/lib.linux-x86_64-cpython-310/torch/distributed/tensor/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/tensor creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/tensor/parallel copying build/lib.linux-x86_64-cpython-310/torch/distributed/tensor/parallel/_view_with_dim_change.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/tensor/parallel copying build/lib.linux-x86_64-cpython-310/torch/distributed/tensor/parallel/multihead_attention_tp.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/tensor/parallel copying build/lib.linux-x86_64-cpython-310/torch/distributed/tensor/parallel/_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/tensor/parallel copying build/lib.linux-x86_64-cpython-310/torch/distributed/tensor/parallel/style.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/tensor/parallel copying build/lib.linux-x86_64-cpython-310/torch/distributed/tensor/parallel/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/tensor/parallel copying build/lib.linux-x86_64-cpython-310/torch/distributed/tensor/parallel/api.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/tensor/parallel copying build/lib.linux-x86_64-cpython-310/torch/distributed/tensor/parallel/fsdp.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/tensor/parallel creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_sharded_tensor copying build/lib.linux-x86_64-cpython-310/torch/distributed/_sharded_tensor/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_sharded_tensor creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/agent copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/agent/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/agent creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/agent/server copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/agent/server/local_elastic_agent.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/agent/server copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/agent/server/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/agent/server copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/agent/server/api.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/agent/server creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/metrics copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/metrics/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/metrics copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/metrics/api.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/metrics creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/events copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/events/handlers.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/events copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/events/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/events copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/events/api.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/events creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/utils copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/utils/logging.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/utils copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/utils/distributed.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/utils copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/utils/log_level.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/utils copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/utils/store.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/utils copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/utils/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/utils copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/utils/api.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/utils creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/utils/data copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/utils/data/cycling_iterator.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/utils/data copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/utils/data/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/utils/data copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/utils/data/elastic_distributed_sampler.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/utils/data creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/multiprocessing copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/multiprocessing/tail_log.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/multiprocessing copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/multiprocessing/redirects.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/multiprocessing copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/multiprocessing/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/multiprocessing copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/multiprocessing/api.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/multiprocessing creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/multiprocessing/errors copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/multiprocessing/errors/handlers.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/multiprocessing/errors copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/multiprocessing/errors/error_handler.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/multiprocessing/errors copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/multiprocessing/errors/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/multiprocessing/errors creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/timer copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/timer/local_timer.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/timer copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/timer/file_based_local_timer.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/timer copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/timer/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/timer copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/timer/api.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/timer creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/rendezvous copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/rendezvous/etcd_server.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/rendezvous copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/rendezvous/utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/rendezvous copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/rendezvous/c10d_rendezvous_backend.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/rendezvous copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/rendezvous/registry.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/rendezvous copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/rendezvous/etcd_rendezvous_backend.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/rendezvous copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/rendezvous/static_tcp_rendezvous.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/rendezvous copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/rendezvous/etcd_store.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/rendezvous copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/rendezvous/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/rendezvous copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/rendezvous/dynamic_rendezvous.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/rendezvous copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/rendezvous/api.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/rendezvous copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/rendezvous/etcd_rendezvous.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/rendezvous creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_spmd copying build/lib.linux-x86_64-cpython-310/torch/distributed/_spmd/comm_tensor.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_spmd copying build/lib.linux-x86_64-cpython-310/torch/distributed/_spmd/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_spmd creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_tools copying build/lib.linux-x86_64-cpython-310/torch/distributed/_tools/memory_tracker.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_tools copying build/lib.linux-x86_64-cpython-310/torch/distributed/_tools/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_tools creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline copying build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync copying build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync/pipe.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync copying build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync/microbatch.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync copying build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync/utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync copying build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync/checkpoint.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync copying build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync/pipeline.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync copying build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync/stream.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync copying build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync/phony.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync copying build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync/copy.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync copying build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync copying build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync/dependency.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync copying build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync/batchnorm.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync copying build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync/worker.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync/skip copying build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync/skip/tracker.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync/skip copying build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync/skip/skippable.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync/skip copying build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync/skip/namespace.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync/skip copying build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync/skip/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync/skip copying build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync/skip/portal.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync/skip copying build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync/skip/layout.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync/skip creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync/_balance copying build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync/_balance/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync/_balance copying build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync/_balance/blockpartition.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync/_balance copying build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync/_balance/profile.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync/_balance creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/partial_tensor.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/replicated_tensor.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharder.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/common_op_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/metadata.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/op_registry_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/api.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/checkpoint copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/checkpoint/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/checkpoint creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharded_tensor copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharded_tensor/reshard.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharded_tensor copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharded_tensor/utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharded_tensor copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharded_tensor/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharded_tensor copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharded_tensor/metadata.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharded_tensor copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharded_tensor/api.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharded_tensor copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharded_tensor/shard.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharded_tensor creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharded_tensor/_ops copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharded_tensor/_ops/_common.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharded_tensor/_ops copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharded_tensor/_ops/init.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharded_tensor/_ops copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharded_tensor/_ops/matrix_ops.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharded_tensor/_ops copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharded_tensor/_ops/math_ops.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharded_tensor/_ops copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharded_tensor/_ops/binary_cmp.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharded_tensor/_ops copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharded_tensor/_ops/chunk.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharded_tensor/_ops copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharded_tensor/_ops/misc_ops.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharded_tensor/_ops copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharded_tensor/_ops/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharded_tensor/_ops copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharded_tensor/_ops/tensor_ops.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharded_tensor/_ops copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharded_tensor/_ops/elementwise_ops.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharded_tensor/_ops creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharding_spec copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharding_spec/_internals.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharding_spec copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharding_spec/chunk_sharding_spec.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharding_spec copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharding_spec/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharding_spec copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharding_spec/api.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharding_spec creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops/_common.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops/embedding.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops/matrix_ops.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops/math_ops.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops/embedding_bag.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops/softmax.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops/linear.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharding_plan copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharding_plan/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharding_plan copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharding_plan/api.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharding_plan creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharded_optim copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharded_optim/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharded_optim copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharded_optim/api.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharded_optim creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/distributed/rpc/backend_registry.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/distributed/rpc/internal.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/distributed/rpc/rref_proxy.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/distributed/rpc/options.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/distributed/rpc/functions.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/distributed/rpc/_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/distributed/rpc/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/distributed/rpc/api.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/distributed/rpc/server_process_global_profiler.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/distributed/rpc/constants.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/rpc creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/rpc/_testing copying build/lib.linux-x86_64-cpython-310/torch/distributed/rpc/_testing/faulty_agent_backend_registry.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/rpc/_testing copying build/lib.linux-x86_64-cpython-310/torch/distributed/rpc/_testing/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/rpc/_testing creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fft copying build/lib.linux-x86_64-cpython-310/torch/fft/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fft creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda copying build/lib.linux-x86_64-cpython-310/torch/cuda/sparse.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda copying build/lib.linux-x86_64-cpython-310/torch/cuda/_sanitizer.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda copying build/lib.linux-x86_64-cpython-310/torch/cuda/error.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda copying build/lib.linux-x86_64-cpython-310/torch/cuda/_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda copying build/lib.linux-x86_64-cpython-310/torch/cuda/streams.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda copying build/lib.linux-x86_64-cpython-310/torch/cuda/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda copying build/lib.linux-x86_64-cpython-310/torch/cuda/profiler.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda copying build/lib.linux-x86_64-cpython-310/torch/cuda/nvtx.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda copying build/lib.linux-x86_64-cpython-310/torch/cuda/memory.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda copying build/lib.linux-x86_64-cpython-310/torch/cuda/jiterator.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda copying build/lib.linux-x86_64-cpython-310/torch/cuda/graphs.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda copying build/lib.linux-x86_64-cpython-310/torch/cuda/comm.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda copying build/lib.linux-x86_64-cpython-310/torch/cuda/_memory_viz.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda copying build/lib.linux-x86_64-cpython-310/torch/cuda/nccl.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda copying build/lib.linux-x86_64-cpython-310/torch/cuda/random.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda/amp copying build/lib.linux-x86_64-cpython-310/torch/cuda/amp/grad_scaler.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda/amp copying build/lib.linux-x86_64-cpython-310/torch/cuda/amp/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda/amp copying build/lib.linux-x86_64-cpython-310/torch/cuda/amp/common.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda/amp copying build/lib.linux-x86_64-cpython-310/torch/cuda/amp/autocast_mode.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda/amp creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/logging.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/types.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/mutation_guard.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/testing.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/test_minifier_common.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/hooks.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/skipfiles.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/exc.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/replay_record.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/allowed_functions.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/side_effects.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/codegen.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/debug_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/symbolic_convert.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/output_graph.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/test_case.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/resume_execution.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/profiler.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/config_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/convert_frame.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/guards.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/config.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/source.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/bytecode_analysis.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/comptime.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/external_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/eval_frame.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/bytecode_transformation.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/backends copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/backends/distributed.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/backends copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/backends/torchxla.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/backends copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/backends/cudagraphs.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/backends copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/backends/nvfuser.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/backends copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/backends/inductor.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/backends copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/backends/tensorrt.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/backends copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/backends/registry.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/backends copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/backends/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/backends copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/backends/common.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/backends copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/backends/onnxrt.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/backends copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/backends/debugging.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/backends copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/backends/ipex.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/backends copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/backends/tvm.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/backends creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/variables copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/variables/base.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/variables copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/variables/builtin.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/variables copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/variables/user_defined.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/variables copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/variables/torch.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/variables copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/variables/builder.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/variables copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/variables/constant.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/variables copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/variables/lists.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/variables copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/variables/functions.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/variables copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/variables/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/variables copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/variables/nn_module.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/variables copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/variables/misc.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/variables copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/variables/tensor.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/variables copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/variables/dicts.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/variables creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/signal copying build/lib.linux-x86_64-cpython-310/torch/signal/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/signal creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/signal/windows copying build/lib.linux-x86_64-cpython-310/torch/signal/windows/windows.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/signal/windows copying build/lib.linux-x86_64-cpython-310/torch/signal/windows/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/signal/windows creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cpu copying build/lib.linux-x86_64-cpython-310/torch/cpu/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cpu creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cpu/amp copying build/lib.linux-x86_64-cpython-310/torch/cpu/amp/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cpu/amp copying build/lib.linux-x86_64-cpython-310/torch/cpu/amp/autocast_mode.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cpu/amp copying build/lib.linux-x86_64-cpython-310/torch/py.typed -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/bin copying build/lib.linux-x86_64-cpython-310/torch/bin/protoc-3.13.0.0 -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/bin copying build/lib.linux-x86_64-cpython-310/torch/bin/protoc -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/bin copying build/lib.linux-x86_64-cpython-310/torch/bin/torch_shm_manager -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/bin creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_C copying build/lib.linux-x86_64-cpython-310/torch/_C/_distributed_autograd.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_C copying build/lib.linux-x86_64-cpython-310/torch/_C/_functorch.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_C copying build/lib.linux-x86_64-cpython-310/torch/_C/_nvtx.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_C copying build/lib.linux-x86_64-cpython-310/torch/_C/_itt.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_C copying build/lib.linux-x86_64-cpython-310/torch/_C/_autograd.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_C copying build/lib.linux-x86_64-cpython-310/torch/_C/_monitor.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_C copying build/lib.linux-x86_64-cpython-310/torch/_C/_lazy_ts_backend.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_C copying build/lib.linux-x86_64-cpython-310/torch/_C/_distributed_rpc_testing.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_C copying build/lib.linux-x86_64-cpython-310/torch/_C/_lazy.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_C copying build/lib.linux-x86_64-cpython-310/torch/_C/_distributed_c10d.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_C copying build/lib.linux-x86_64-cpython-310/torch/_C/_functions.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_C copying build/lib.linux-x86_64-cpython-310/torch/_C/_onnx.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_C copying build/lib.linux-x86_64-cpython-310/torch/_C/_profiler.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_C copying build/lib.linux-x86_64-cpython-310/torch/_C/_cudnn.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_C copying build/lib.linux-x86_64-cpython-310/torch/_C/_distributed_rpc.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_C copying build/lib.linux-x86_64-cpython-310/torch/_C/_verbose.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_C copying build/lib.linux-x86_64-cpython-310/torch/_C/__init__.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_C copying build/lib.linux-x86_64-cpython-310/torch/_C/_VariableFunctions.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_C copying build/lib.linux-x86_64-cpython-310/torch/_C/_nn.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_C creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_C_flatbuffer copying build/lib.linux-x86_64-cpython-310/torch/_C_flatbuffer/__init__.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_C_flatbuffer creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/lib copying build/lib.linux-x86_64-cpython-310/torch/lib/libc10_cuda.so -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/lib copying build/lib.linux-x86_64-cpython-310/torch/lib/libc10.so -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/lib copying build/lib.linux-x86_64-cpython-310/torch/lib/libcaffe2_nvrtc.so -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/lib copying build/lib.linux-x86_64-cpython-310/torch/lib/libtorch_global_deps.so -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/lib copying build/lib.linux-x86_64-cpython-310/torch/lib/libtorch_cuda_linalg.so -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/lib copying build/lib.linux-x86_64-cpython-310/torch/lib/libshm.so -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/lib copying build/lib.linux-x86_64-cpython-310/torch/lib/libtorch_python.so -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/lib copying build/lib.linux-x86_64-cpython-310/torch/lib/libtorch_cpu.so -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/lib copying build/lib.linux-x86_64-cpython-310/torch/lib/libtorch_cuda.so -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/lib copying build/lib.linux-x86_64-cpython-310/torch/lib/libtorch.so -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/lib copying build/lib.linux-x86_64-cpython-310/torch/lib/libnvfuser_codegen.so -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/lib creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include copying build/lib.linux-x86_64-cpython-310/torch/include/pthreadpool.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include copying build/lib.linux-x86_64-cpython-310/torch/include/fxdiv.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include copying build/lib.linux-x86_64-cpython-310/torch/include/cpuinfo.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include copying build/lib.linux-x86_64-cpython-310/torch/include/clog.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include copying build/lib.linux-x86_64-cpython-310/torch/include/qnnpack.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include copying build/lib.linux-x86_64-cpython-310/torch/include/psimd.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include copying build/lib.linux-x86_64-cpython-310/torch/include/fp16.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include copying build/lib.linux-x86_64-cpython-310/torch/include/qnnpack_func.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include copying build/lib.linux-x86_64-cpython-310/torch/include/nnpack.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include copying build/lib.linux-x86_64-cpython-310/torch/include/xnnpack.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include copying build/lib.linux-x86_64-cpython-310/torch/include/dnnl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include copying build/lib.linux-x86_64-cpython-310/torch/include/dnnl_config.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include copying build/lib.linux-x86_64-cpython-310/torch/include/dnnl_debug.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include copying build/lib.linux-x86_64-cpython-310/torch/include/dnnl_ocl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include copying build/lib.linux-x86_64-cpython-310/torch/include/dnnl_sycl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include copying build/lib.linux-x86_64-cpython-310/torch/include/dnnl_sycl_types.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include copying build/lib.linux-x86_64-cpython-310/torch/include/dnnl_threadpool.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include copying build/lib.linux-x86_64-cpython-310/torch/include/dnnl_types.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include copying build/lib.linux-x86_64-cpython-310/torch/include/dnnl_version.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include copying build/lib.linux-x86_64-cpython-310/torch/include/sleef.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include copying build/lib.linux-x86_64-cpython-310/torch/include/libshm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ATen.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/AccumulateType.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ArrayRef.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/Backend.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/Backtrace.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/CPUApplyUtils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/CPUFixedAllocator.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/CPUGeneratorImpl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/CollapseDims.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/Config.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/Context.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/DLConvertor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/Device.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/DeviceGuard.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/DimVector.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/Dimname.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/Dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/DynamicLibrary.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/EmptyTensor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ExpandBase.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ExpandUtils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/Formatting.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/FuncTorchTLS.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/FunctionalStorageImpl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/FunctionalTensorWrapper.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/Generator.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/InferSize.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/InitialTensorOptions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/Layout.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/LegacyBatchedFallback.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/LegacyBatchedTensorImpl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/LegacyVmapMode.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/LegacyVmapTransforms.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/LinalgBackend.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/MapAllocator.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/MatrixRef.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/MemoryOverlap.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/NamedTensor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/NamedTensorUtils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/NestedTensorImpl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/NumericUtils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/OpMathType.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/OpaqueTensorImpl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/PTThreadPool.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/PadNd.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/Parallel-inl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/Parallel.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ParallelFuture.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ParallelNative.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ParallelNativeTBB.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ParallelOpenMP.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/PythonTorchFunctionTLS.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/SavedTensorHooks.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/Scalar.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ScalarOps.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ScalarType.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/SequenceNumber.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/SmallVector.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/SparseCsrTensorImpl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/SparseCsrTensorUtils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/SparseTensorImpl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/SparseTensorUtils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/Storage.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/Tensor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/TensorAccessor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/TensorGeometry.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/TensorIndexing.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/TensorIterator.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/TensorIteratorInternal.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/TensorMeta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/TensorNames.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/TensorOperators.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/TensorOptions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/TensorSubclassLikeUtils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/TensorUtils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ThreadLocalPythonObjects.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ThreadLocalState.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/TracerMode.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/TypeDefault.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/Utils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/Version.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/WrapDimUtils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/WrapDimUtilsMulti.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/autocast_mode.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ceil_div.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/code_template.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpp_custom_type_hack.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/div_rtn.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/dlpack.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/jit_macros.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/jiterator_macros.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/record_function.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/CPUFunctions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/CPUFunctions_inl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/CompositeExplicitAutogradFunctions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/CompositeExplicitAutogradFunctions_inl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/CompositeExplicitAutogradNonFunctionalFunctions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/CompositeExplicitAutogradNonFunctionalFunctions_inl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/CompositeImplicitAutogradFunctions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/CompositeImplicitAutogradFunctions_inl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/CompositeImplicitAutogradNestedTensorFunctions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/CompositeImplicitAutogradNestedTensorFunctions_inl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/Functions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/MetaFunctions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/MetaFunctions_inl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/MethodOperators.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/NativeFunctions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/NativeMetaFunctions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/Operators.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/RedispatchFunctions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/RegistrationDeclarations.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/VmapGeneratedPlumbing.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/CUDAFunctions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/CUDAFunctions_inl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/FlushDenormal.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vml.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256 copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256/missing_vld1_neon.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256 copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256/missing_vst1_neon.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256 copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256/vec256.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256 copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256/vec256_bfloat16.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256 copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256/vec256_complex_double.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256 copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256/vec256_complex_float.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256 copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256/vec256_double.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256 copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256/vec256_float.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256 copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256/vec256_float_neon.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256 copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256/vec256_int.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256 copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256/vec256_qint.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256 creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vsx copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256/vsx/vec256_bfloat16_vsx.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vsx copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256/vsx/vec256_common_vsx.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vsx copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256/vsx/vec256_complex_double_vsx.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vsx copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256/vsx/vec256_complex_float_vsx.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vsx copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256/vsx/vec256_double_vsx.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vsx copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256/vsx/vec256_float_vsx.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vsx copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256/vsx/vec256_int16_vsx.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vsx copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256/vsx/vec256_int32_vsx.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vsx copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256/vsx/vec256_int64_vsx.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vsx copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256/vsx/vec256_qint32_vsx.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vsx copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256/vsx/vec256_qint8_vsx.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vsx copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256/vsx/vec256_quint8_vsx.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vsx copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256/vsx/vsx_helpers.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vsx creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec/vec512 copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec512/vec512.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec/vec512 copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec512/vec512_bfloat16.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec/vec512 copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec512/vec512_complex_double.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec/vec512 copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec512/vec512_complex_float.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec/vec512 copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec512/vec512_double.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec/vec512 copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec512/vec512_float.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec/vec512 copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec512/vec512_int.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec/vec512 copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec512/vec512_qint.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec/vec512 copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/functional.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/functional_base.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/functional_bfloat16.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/intrinsics.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec_base.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/ATenGeneral.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/ATenOpList.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/ATen_fwd.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/ATen_pch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/Array.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/Backtrace.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/CheckMemoryFormat.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/DeprecatedTypeProperties.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/DeprecatedTypePropertiesRegistry.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/Dict.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/Dict_inl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/DimVector.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/Dimname.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/DistributionsHelper.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/Formatting.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/Generator.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/IListRef.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/IListRef_inl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/LegacyTypeDispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/List.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/List_inl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/MT19937RNGEngine.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/NamedTensor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/PhiloxRNGEngine.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/PythonFallbackKernel.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/PythonOpRegistrationTrampoline.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/QuantizerBase.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/Range.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/Reduction.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/Scalar.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/ScalarType.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/Tensor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/TensorAccessor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/TensorBase.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/TorchDispatchUtils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/TransformationHelper.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/UndefinedTensorImpl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/UnsafeFromTH.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/VariableHooksInterface.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/Variadic.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/Vitals.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/alias_info.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/blob.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/builtin_function.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/class_type.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/custom_class.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/dynamic_type.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/enum_type.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/function.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/function_schema.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/function_schema_inl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/functional.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/grad_mode.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/interned_strings.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/interned_strings_class.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/ivalue.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/ivalue_inl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/ivalue_to.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/jit_type.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/jit_type_base.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/operator_name.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/qualified_name.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/rref_interface.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/stack.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/symbol.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/type_factory.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/type_ptr.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/typeid.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/TensorBody.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/aten_interned_strings.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/enum_tag.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core/boxing copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/boxing/BoxedKernel.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core/boxing copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/boxing/BoxedKernel_impl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core/boxing copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/boxing/KernelFunction.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core/boxing copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/boxing/KernelFunction_impl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core/boxing copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/boxing/OperatorKernel.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core/boxing creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core/boxing/impl copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/boxing/impl/WrapFunctionIntoFunctor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core/boxing/impl copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/boxing/impl/WrapFunctionIntoRuntimeFunctor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core/boxing/impl copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/boxing/impl/boxing.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core/boxing/impl copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/boxing/impl/make_boxed_from_unboxed_functor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core/boxing/impl copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/boxing/impl/test_helpers.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core/boxing/impl creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core/dispatch copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/dispatch/CppSignature.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core/dispatch copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/dispatch/DispatchKeyExtractor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core/dispatch copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/dispatch/Dispatcher.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core/dispatch copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/dispatch/ObservedOperators.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core/dispatch copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/dispatch/OperatorEntry.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core/dispatch copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/dispatch/OperatorOptions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core/dispatch copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/dispatch/RegistrationHandleRAII.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core/dispatch creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core/op_registration copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/op_registration/adaption.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core/op_registration copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/op_registration/infer_schema.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core/op_registration copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/op_registration/op_allowlist.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core/op_registration copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/op_registration/op_registration.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core/op_registration creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/ApplyGridUtils.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/AsmUtils.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/Atomic.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/CUDAApplyUtils.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/CUDAGraphsUtils.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/CUDATensorMethods.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/DeviceUtils.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/NumericLimits.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/ScanUtils.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/cub.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/cub_definitions.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/ATenCUDAGeneral.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/CUDABlas.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/CUDAConfig.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/CUDAContext.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/CUDADataType.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/CUDADevice.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/CUDAEvent.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/CUDAGeneratorImpl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/CUDAGraph.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/CUDASparse.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/CUDASparseBlas.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/CUDASparseDescriptors.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/CUDAUtils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/CachingHostAllocator.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/EmptyTensor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/Exceptions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/PeerToPeerAccess.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/PinnedMemoryAllocator.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/Sleep.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/ThrustAllocator.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/cub.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/jiterator.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/jiterator_impl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/llvm_jit_strings.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda/detail copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/detail/IndexUtils.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda/detail copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/detail/IntegerDivider.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda/detail copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/detail/OffsetCalculator.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda/detail copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/detail/PhiloxCudaStateRaw.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda/detail copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/detail/TensorInfo.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda/detail copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/detail/UnpackRaw.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda/detail copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/detail/CUDAHooks.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda/detail copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/detail/DeviceThreadHandles.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda/detail copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/detail/KernelUtils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda/detail copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/detail/LazyNVRTC.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda/detail creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cudnn copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cudnn/Descriptors.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cudnn copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cudnn/Exceptions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cudnn copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cudnn/Handle.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cudnn copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cudnn/Handles.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cudnn copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cudnn/Types.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cudnn copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cudnn/Utils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cudnn copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cudnn/cudnn-wrapper.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cudnn creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/functorch copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/functorch/ADInterpreters.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/functorch copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/functorch/BatchRulesHelper.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/functorch copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/functorch/BatchedFallback.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/functorch copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/functorch/BatchedTensorImpl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/functorch copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/functorch/BatchingMetaprogramming.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/functorch copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/functorch/DynamicLayer.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/functorch copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/functorch/FunctionalizeInterpreter.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/functorch copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/functorch/Interpreter.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/functorch copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/functorch/LegacyVmapTransforms.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/functorch copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/functorch/Macros.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/functorch copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/functorch/PlumbingHelper.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/functorch copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/functorch/TensorWrapper.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/functorch copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/functorch/VmapInterpreter.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/functorch creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/from_blob.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tensor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_adaptive_avg_pool2d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_adaptive_avg_pool2d_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_adaptive_avg_pool2d_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_adaptive_avg_pool2d_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_adaptive_avg_pool2d_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_adaptive_avg_pool2d_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_adaptive_avg_pool2d_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_adaptive_avg_pool2d_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_adaptive_avg_pool2d_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_adaptive_avg_pool2d_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_adaptive_avg_pool2d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_adaptive_avg_pool2d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_adaptive_avg_pool3d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_adaptive_avg_pool3d_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_adaptive_avg_pool3d_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_adaptive_avg_pool3d_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_adaptive_avg_pool3d_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_adaptive_avg_pool3d_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_adaptive_avg_pool3d_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_adaptive_avg_pool3d_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_adaptive_avg_pool3d_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_adaptive_avg_pool3d_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_adaptive_avg_pool3d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_adaptive_avg_pool3d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_add_batch_dim.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_add_batch_dim_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_add_batch_dim_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_add_batch_dim_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_add_relu.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_add_relu_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_add_relu_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_add_relu_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_add_relu_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_add_relu_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_addmm_activation.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_addmm_activation_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_addmm_activation_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_addmm_activation_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_addmm_activation_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_addmm_activation_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_addmm_activation_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_addmm_activation_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_aminmax.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_aminmax_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_aminmax_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_aminmax_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_aminmax_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_aminmax_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_amp_foreach_non_finite_check_and_unscale.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_amp_foreach_non_finite_check_and_unscale_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_amp_foreach_non_finite_check_and_unscale_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_amp_foreach_non_finite_check_and_unscale_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_amp_foreach_non_finite_check_and_unscale_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_amp_update_scale.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_amp_update_scale_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_amp_update_scale_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_amp_update_scale_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_amp_update_scale_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_amp_update_scale_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_assert_async.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_assert_async_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_assert_async_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_assert_async_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_assert_async_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_assert_tensor_metadata.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_assert_tensor_metadata_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_assert_tensor_metadata_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_assert_tensor_metadata_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_autocast_to_full_precision.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_autocast_to_full_precision_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_autocast_to_full_precision_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_autocast_to_full_precision_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_autocast_to_reduced_precision.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_autocast_to_reduced_precision_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_autocast_to_reduced_precision_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_autocast_to_reduced_precision_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_backward_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_batch_norm_impl_index.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_batch_norm_impl_index_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_batch_norm_impl_index_backward_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_batch_norm_impl_index_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_batch_norm_impl_index_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_batch_norm_impl_index_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_batch_norm_impl_index_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_batch_norm_impl_index_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cast_Byte.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cast_Byte_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cast_Byte_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cast_Byte_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cast_Char.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cast_Char_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cast_Char_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cast_Char_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cast_Double.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cast_Double_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cast_Double_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cast_Double_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cast_Float.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cast_Float_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cast_Float_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cast_Float_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cast_Half.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cast_Half_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cast_Half_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cast_Half_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cast_Int.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cast_Int_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cast_Int_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cast_Int_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cast_Long.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cast_Long_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cast_Long_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cast_Long_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cast_Short.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cast_Short_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cast_Short_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cast_Short_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cdist_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cdist_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cdist_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cdist_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cdist_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cdist_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cdist_forward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cdist_forward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cdist_forward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cdist_forward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cdist_forward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cdist_forward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cholesky_solve_helper.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cholesky_solve_helper_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cholesky_solve_helper_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cholesky_solve_helper_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cholesky_solve_helper_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cholesky_solve_helper_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_choose_qparams_per_tensor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_choose_qparams_per_tensor_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_choose_qparams_per_tensor_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_choose_qparams_per_tensor_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_chunk_grad_outputs_efficient_attention.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_chunk_grad_outputs_efficient_attention_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_chunk_grad_outputs_efficient_attention_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_chunk_grad_outputs_efficient_attention_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_coalesce.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_coalesce_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_coalesce_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_coalesce_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_coalesced.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_coalesced_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_coalesced_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_coalesced_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_coalesced_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_compute_linear_combination.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_compute_linear_combination_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_compute_linear_combination_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_compute_linear_combination_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_compute_linear_combination_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_conj.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_conj_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_conj_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_conj_copy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_conj_copy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_conj_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_conj_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_conj_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_conj_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_conj_physical.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_conj_physical_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_conj_physical_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_conj_physical_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_conv_depthwise2d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_conv_depthwise2d_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_conv_depthwise2d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_conv_depthwise2d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_convert_indices_from_coo_to_csr.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_convert_indices_from_coo_to_csr_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_convert_indices_from_coo_to_csr_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_convert_indices_from_coo_to_csr_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_convert_indices_from_coo_to_csr_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_convert_indices_from_coo_to_csr_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_convert_indices_from_coo_to_csr_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_convert_indices_from_coo_to_csr_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_convert_indices_from_csr_to_coo.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_convert_indices_from_csr_to_coo_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_convert_indices_from_csr_to_coo_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_convert_indices_from_csr_to_coo_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_convert_indices_from_csr_to_coo_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_convert_indices_from_csr_to_coo_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_convert_indices_from_csr_to_coo_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_convert_indices_from_csr_to_coo_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_convolution.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_convolution_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_convolution_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_convolution_double_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_convolution_double_backward_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_convolution_double_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_convolution_double_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_convolution_mode.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_convolution_mode_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_convolution_mode_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_convolution_mode_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_convolution_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_convolution_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_copy_from.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_copy_from_and_resize.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_copy_from_and_resize_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_copy_from_and_resize_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_copy_from_and_resize_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_copy_from_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_copy_from_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_copy_from_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_ctc_loss.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_ctc_loss_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_ctc_loss_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_ctc_loss_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_ctc_loss_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_ctc_loss_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_ctc_loss_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_ctc_loss_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_ctc_loss_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_ctc_loss_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_ctc_loss_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_ctc_loss_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cudnn_ctc_loss.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cudnn_ctc_loss_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cudnn_ctc_loss_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cudnn_ctc_loss_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cudnn_ctc_loss_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cudnn_init_dropout_state.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cudnn_init_dropout_state_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cudnn_init_dropout_state_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cudnn_init_dropout_state_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cudnn_init_dropout_state_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cudnn_rnn.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cudnn_rnn_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cudnn_rnn_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cudnn_rnn_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cudnn_rnn_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cudnn_rnn_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cudnn_rnn_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cudnn_rnn_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cudnn_rnn_flatten_weight.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cudnn_rnn_flatten_weight_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cudnn_rnn_flatten_weight_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cudnn_rnn_flatten_weight_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cudnn_rnn_flatten_weight_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cudnn_rnn_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cudnn_rnn_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cufft_clear_plan_cache.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cufft_clear_plan_cache_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cufft_clear_plan_cache_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cufft_clear_plan_cache_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cufft_get_plan_cache_max_size.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cufft_get_plan_cache_max_size_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cufft_get_plan_cache_max_size_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cufft_get_plan_cache_max_size_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cufft_get_plan_cache_size.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cufft_get_plan_cache_size_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cufft_get_plan_cache_size_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cufft_get_plan_cache_size_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cufft_set_plan_cache_max_size.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cufft_set_plan_cache_max_size_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cufft_set_plan_cache_max_size_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cufft_set_plan_cache_max_size_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cummax_helper.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cummax_helper_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cummax_helper_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cummax_helper_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cummax_helper_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cummin_helper.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cummin_helper_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cummin_helper_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cummin_helper_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cummin_helper_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_debug_has_internal_overlap.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_debug_has_internal_overlap_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_debug_has_internal_overlap_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_debug_has_internal_overlap_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_dimI.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_dimI_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_dimI_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_dimV.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_dimV_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_dimV_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_dim_arange.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_dim_arange_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_dim_arange_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_dim_arange_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_dirichlet_grad.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_dirichlet_grad_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_dirichlet_grad_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_dirichlet_grad_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_dirichlet_grad_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_dirichlet_grad_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_efficient_attention_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_efficient_attention_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_efficient_attention_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_efficient_attention_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_efficient_attention_forward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_efficient_attention_forward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_efficient_attention_forward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_efficient_attention_forward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_efficientzerotensor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_efficientzerotensor_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_efficientzerotensor_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_efficientzerotensor_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_efficientzerotensor_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_efficientzerotensor_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_efficientzerotensor_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_embedding_bag.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_embedding_bag_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_embedding_bag_backward_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_embedding_bag_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_embedding_bag_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_embedding_bag_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_embedding_bag_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_embedding_bag_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_embedding_bag_dense_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_embedding_bag_dense_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_embedding_bag_dense_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_embedding_bag_dense_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_embedding_bag_dense_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_embedding_bag_dense_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_embedding_bag_forward_only.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_embedding_bag_forward_only_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_embedding_bag_forward_only_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_embedding_bag_forward_only_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_embedding_bag_forward_only_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_embedding_bag_forward_only_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_embedding_bag_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_embedding_bag_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_empty_affine_quantized.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_embedding_bag_per_sample_weights_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_embedding_bag_per_sample_weights_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_embedding_bag_per_sample_weights_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_embedding_bag_per_sample_weights_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_embedding_bag_per_sample_weights_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_embedding_bag_per_sample_weights_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_embedding_bag_sparse_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_embedding_bag_sparse_backward_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_embedding_bag_sparse_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_embedding_bag_sparse_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_empty_affine_quantized_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_empty_affine_quantized_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_empty_affine_quantized_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_empty_affine_quantized_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_empty_per_channel_affine_quantized.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_empty_per_channel_affine_quantized_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_empty_per_channel_affine_quantized_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_empty_per_channel_affine_quantized_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_empty_per_channel_affine_quantized_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_euclidean_dist.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_euclidean_dist_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_euclidean_dist_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_euclidean_dist_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fake_quantize_learnable_per_channel_affine.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fake_quantize_learnable_per_channel_affine_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fake_quantize_learnable_per_channel_affine_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fake_quantize_learnable_per_channel_affine_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fake_quantize_learnable_per_channel_affine_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fake_quantize_learnable_per_channel_affine_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fake_quantize_learnable_per_channel_affine_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fake_quantize_learnable_per_channel_affine_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fake_quantize_learnable_per_channel_affine_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fake_quantize_learnable_per_channel_affine_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fake_quantize_learnable_per_channel_affine_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fake_quantize_learnable_per_tensor_affine.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fake_quantize_learnable_per_tensor_affine_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fake_quantize_learnable_per_tensor_affine_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fake_quantize_learnable_per_tensor_affine_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fake_quantize_learnable_per_tensor_affine_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fake_quantize_learnable_per_tensor_affine_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fake_quantize_learnable_per_tensor_affine_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fake_quantize_learnable_per_tensor_affine_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fake_quantize_learnable_per_tensor_affine_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fake_quantize_learnable_per_tensor_affine_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fake_quantize_learnable_per_tensor_affine_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fake_quantize_per_tensor_affine_cachemask_tensor_qparams.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fake_quantize_per_tensor_affine_cachemask_tensor_qparams_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fake_quantize_per_tensor_affine_cachemask_tensor_qparams_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fake_quantize_per_tensor_affine_cachemask_tensor_qparams_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fake_quantize_per_tensor_affine_cachemask_tensor_qparams_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fake_quantize_per_tensor_affine_cachemask_tensor_qparams_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fft_c2c.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fft_c2c_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fft_c2c_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fft_c2c_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fft_c2c_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fft_c2r.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fft_c2r_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fft_c2r_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fft_c2r_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fft_c2r_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fft_r2c.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fft_r2c_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fft_r2c_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fft_r2c_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fft_r2c_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_flash_attention_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_flash_attention_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_flash_attention_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_flash_attention_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_flash_attention_forward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_flash_attention_forward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_flash_attention_forward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_flash_attention_forward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foobar.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foobar_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foobar_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foobar_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foobar_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_abs.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_abs_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_abs_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_abs_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_abs_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_abs_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_acos.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_acos_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_acos_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_acos_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_acos_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_acos_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_add.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_add_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_add_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_add_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_add_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_add_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_addcdiv.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_addcdiv_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_addcdiv_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_addcdiv_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_addcdiv_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_addcdiv_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_addcmul.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_addcmul_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_addcmul_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_addcmul_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_addcmul_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_addcmul_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_asin.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_asin_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_asin_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_asin_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_asin_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_asin_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_atan.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_atan_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_atan_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_atan_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_atan_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_atan_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_ceil.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_ceil_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_ceil_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_ceil_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_ceil_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_ceil_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_clamp_max.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_clamp_max_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_clamp_max_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_clamp_max_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_clamp_max_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_clamp_max_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_clamp_min.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_clamp_min_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_clamp_min_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_clamp_min_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_clamp_min_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_clamp_min_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_cos.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_cos_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_cos_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_cos_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_cos_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_cos_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_cosh.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_cosh_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_cosh_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_cosh_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_cosh_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_cosh_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_div.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_div_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_div_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_div_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_div_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_div_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_erf.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_erf_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_erf_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_erf_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_erf_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_erf_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_erfc.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_erfc_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_erfc_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_erfc_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_erfc_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_erfc_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_exp.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_exp_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_exp_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_exp_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_exp_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_exp_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_expm1.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_expm1_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_expm1_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_expm1_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_expm1_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_expm1_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_floor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_floor_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_floor_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_floor_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_floor_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_floor_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_frac.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_frac_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_frac_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_frac_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_frac_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_frac_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_lerp.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_lerp_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_lerp_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_lerp_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_lerp_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_lerp_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_lgamma.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_lgamma_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_lgamma_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_lgamma_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_lgamma_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_lgamma_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_log.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_log10.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_log10_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_log10_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_log10_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_log10_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_log10_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_log1p.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_log1p_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_log1p_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_log1p_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_log1p_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_log1p_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_log2.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_log2_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_log2_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_log2_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_log2_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_log2_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_log_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_log_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_log_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_log_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_log_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_maximum.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_maximum_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_maximum_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_maximum_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_maximum_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_maximum_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_minimum.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_minimum_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_minimum_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_minimum_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_minimum_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_minimum_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_mul.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_mul_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_mul_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_mul_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_mul_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_mul_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_neg.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_neg_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_neg_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_neg_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ger_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_neg_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_neg_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_norm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_norm_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_norm_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_norm_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_norm_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_norm_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_reciprocal.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_reciprocal_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_reciprocal_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_reciprocal_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_reciprocal_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_reciprocal_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_round.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_round_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_round_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_round_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_round_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_round_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_sigmoid.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_sigmoid_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_sigmoid_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_sigmoid_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_sigmoid_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_sigmoid_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_sin.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_sin_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_sin_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_sin_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_sin_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_sin_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_sinh.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_sinh_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_sinh_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_sinh_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_sinh_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_sinh_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_sqrt.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_sqrt_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_sqrt_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_sqrt_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_sqrt_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_sqrt_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_sub.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_sub_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_sub_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_sub_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_sub_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_sub_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_tan.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_tan_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_tan_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_tan_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_tan_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_tan_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_tanh.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_tanh_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_tanh_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_tanh_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_tanh_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_tanh_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_trunc.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_trunc_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_trunc_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_trunc_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_trunc_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_trunc_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_zero.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_zero_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_zero_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_zero_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_zero_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_zero_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fused_adam.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fused_adam_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fused_adam_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fused_adam_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fused_adam_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fused_adamw.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fused_adamw_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fused_adamw_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fused_adamw_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fused_adamw_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fused_dropout.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fused_dropout_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fused_dropout_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fused_dropout_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fused_dropout_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fused_moving_avg_obs_fq_helper.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fused_moving_avg_obs_fq_helper_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fused_moving_avg_obs_fq_helper_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/diagonal.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fused_moving_avg_obs_fq_helper_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fused_moving_avg_obs_fq_helper_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fused_moving_avg_obs_fq_helper_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fused_sdp_choice.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fused_sdp_choice_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fused_sdp_choice_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fused_sdp_choice_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fused_sdp_choice_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fused_sdp_choice_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fw_primal.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fw_primal_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fw_primal_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fw_primal_copy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fw_primal_copy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fw_primal_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fw_primal_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fw_primal_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fw_primal_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_gather_sparse_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_gather_sparse_backward_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_gather_sparse_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_gather_sparse_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_grid_sampler_2d_cpu_fallback.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_grid_sampler_2d_cpu_fallback_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_grid_sampler_2d_cpu_fallback_backward_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_grid_sampler_2d_cpu_fallback_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_grid_sampler_2d_cpu_fallback_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_grid_sampler_2d_cpu_fallback_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_grid_sampler_2d_cpu_fallback_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_grid_sampler_2d_cpu_fallback_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_has_compatible_shallow_copy_type.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_has_compatible_shallow_copy_type_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_has_compatible_shallow_copy_type_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_has_compatible_shallow_copy_type_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_has_same_storage_numel.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_has_same_storage_numel_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_has_same_storage_numel_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_has_same_storage_numel_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_histogramdd_bin_edges.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_histogramdd_bin_edges_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_histogramdd_bin_edges_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_histogramdd_bin_edges_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_histogramdd_bin_edges_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_histogramdd_from_bin_cts.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_histogramdd_from_bin_cts_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_histogramdd_from_bin_cts_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_histogramdd_from_bin_cts_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_histogramdd_from_bin_cts_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_histogramdd_from_bin_tensors.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_histogramdd_from_bin_tensors_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_histogramdd_from_bin_tensors_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_histogramdd_from_bin_tensors_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_histogramdd_from_bin_tensors_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_index_put_impl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_index_put_impl_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_index_put_impl_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_index_put_impl_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_index_put_impl_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_index_put_impl_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_index_put_impl_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_indices.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_indices_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_indices_copy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_indices_copy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_indices_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_indices_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_indices_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_indices_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_is_all_true.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_is_all_true_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_is_all_true_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_is_all_true_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_is_any_true.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_is_any_true_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_is_any_true_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_is_any_true_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_is_zerotensor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_is_zerotensor_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_is_zerotensor_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_is_zerotensor_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_check_errors.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_check_errors_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_check_errors_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_check_errors_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_det.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_det_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_det_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_det_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_det_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_det_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_det_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_det_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_eigh.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_eigh_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_eigh_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_eigh_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_eigh_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_eigh_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_eigh_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_eigh_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_slogdet.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_slogdet_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_slogdet_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_slogdet_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_slogdet_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_slogdet_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_slogdet_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_slogdet_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_solve_ex.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_solve_ex_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_solve_ex_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_solve_ex_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_solve_ex_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_solve_ex_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_solve_ex_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_solve_ex_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_svd.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_svd_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_svd_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_svd_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_svd_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_svd_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_svd_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_svd_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_local_scalar_dense.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_local_scalar_dense_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_local_scalar_dense_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_local_scalar_dense_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_local_scalar_dense_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_log_softmax.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_log_softmax_backward_data.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_log_softmax_backward_data_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_log_softmax_backward_data_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_log_softmax_backward_data_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_log_softmax_backward_data_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_log_softmax_backward_data_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_log_softmax_backward_data_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_log_softmax_backward_data_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_log_softmax_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_log_softmax_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_log_softmax_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_log_softmax_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_log_softmax_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_log_softmax_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_log_softmax_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_logcumsumexp.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_logcumsumexp_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_logcumsumexp_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_logcumsumexp_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_logcumsumexp_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_lstm_mps.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_lstm_mps_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_lstm_mps_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_lstm_mps_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_lu_with_info.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_lu_with_info_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_lu_with_info_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_lu_with_info_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_make_dual.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_make_dual_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_make_dual_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_make_dual_copy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_make_dual_copy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_make_dual_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_make_dual_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_make_dual_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_make_dual_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_make_per_channel_quantized_tensor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_make_per_channel_quantized_tensor_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_make_per_channel_quantized_tensor_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_make_per_channel_quantized_tensor_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_make_per_channel_quantized_tensor_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_make_per_channel_quantized_tensor_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_make_per_tensor_quantized_tensor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_make_per_tensor_quantized_tensor_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_make_per_tensor_quantized_tensor_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_make_per_tensor_quantized_tensor_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_make_per_tensor_quantized_tensor_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_make_per_tensor_quantized_tensor_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_masked_scale.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_masked_scale_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_masked_scale_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_masked_scale_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_masked_scale_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_masked_softmax.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_masked_softmax_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_masked_softmax_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_masked_softmax_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_masked_softmax_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_masked_softmax_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_masked_softmax_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_masked_softmax_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_masked_softmax_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_masked_softmax_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_masked_softmax_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_masked_softmax_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_mkldnn_reshape.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_mkldnn_reshape_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_mkldnn_reshape_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_mkldnn_reshape_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_mkldnn_transpose.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_mkldnn_transpose_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_mkldnn_transpose_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_mkldnn_transpose_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_mkldnn_transpose_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_mps_convolution.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_mps_convolution_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_mps_convolution_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_mps_convolution_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_mps_convolution_transpose.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_mps_convolution_transpose_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_mps_convolution_transpose_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_mps_convolution_transpose_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_native_batch_norm_legit.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_native_batch_norm_legit_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_native_batch_norm_legit_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_native_batch_norm_legit_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_native_batch_norm_legit_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_native_batch_norm_legit_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_native_decoder_only_multi_head_attention.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_native_decoder_only_multi_head_attention_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_native_decoder_only_multi_head_attention_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_native_decoder_only_multi_head_attention_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_native_decoder_only_multi_head_attention_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_native_decoder_only_multi_head_attention_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_native_multi_head_attention.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_native_multi_head_attention_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_native_multi_head_attention_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_native_multi_head_attention_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_native_multi_head_attention_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_native_multi_head_attention_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_neg_view.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_neg_view_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_neg_view_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_neg_view_copy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_neg_view_copy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_neg_view_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_neg_view_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_neg_view_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_neg_view_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_from_padded.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_from_padded_and_nested_example.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_from_padded_and_nested_example_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_from_padded_and_nested_example_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_from_padded_and_nested_example_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_broadcast_to_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_from_padded_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_from_padded_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_from_padded_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_from_padded_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_from_padded_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_select_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_select_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_select_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_sum_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_sum_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_sum_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_tensor_from_mask.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_tensor_from_mask_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_tensor_from_mask_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_tensor_from_mask_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_tensor_from_mask_left_aligned.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_tensor_from_mask_left_aligned_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_tensor_from_mask_left_aligned_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_tensor_from_mask_left_aligned_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_tensor_from_mask_left_aligned_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_tensor_from_mask_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_tensor_from_mask_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_tensor_from_tensor_list.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_tensor_from_tensor_list_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_tensor_from_tensor_list_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_tensor_from_tensor_list_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_tensor_offsets.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_tensor_offsets_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_tensor_offsets_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_tensor_size.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_tensor_size_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_tensor_size_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_tensor_size_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_tensor_softmax_with_shape.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_tensor_softmax_with_shape_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_tensor_softmax_with_shape_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_tensor_strides.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_tensor_strides_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_tensor_strides_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_tensor_strides_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_view_from_buffer.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_view_from_buffer_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_view_from_buffer_copy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_view_from_buffer_copy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_view_from_buffer_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_view_from_buffer_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_view_from_buffer_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_view_from_buffer_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_view_from_buffer_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_view_from_buffer_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_new_zeros_with_same_feature_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_new_zeros_with_same_feature_meta_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_new_zeros_with_same_feature_meta_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_new_zeros_with_same_feature_meta_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nnpack_available.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nnpack_available_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nnpack_available_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nnpack_available_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nnpack_spatial_convolution.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nnpack_spatial_convolution_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nnpack_spatial_convolution_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nnpack_spatial_convolution_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nnz.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nnz_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nnz_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_pack_padded_sequence.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_pack_padded_sequence_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_pack_padded_sequence_backward_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_pack_padded_sequence_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_pack_padded_sequence_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_pack_padded_sequence_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_pack_padded_sequence_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_pack_padded_sequence_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_pad_circular.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_pad_circular_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_pad_circular_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_pad_circular_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_pad_enum.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bernoulli.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_pad_enum_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_pad_enum_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_pad_enum_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_pad_packed_sequence.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_pad_packed_sequence_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_pad_packed_sequence_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_pad_packed_sequence_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_pdist_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_pdist_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_pdist_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_pdist_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_pdist_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_pdist_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_pdist_forward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_pdist_forward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_pdist_forward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_pdist_forward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_pdist_forward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_pdist_forward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_pin_memory.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_pin_memory_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_pin_memory_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_pin_memory_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_pin_memory_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_prelu_kernel.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_prelu_kernel_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_prelu_kernel_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_prelu_kernel_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_prelu_kernel_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_prelu_kernel_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_prelu_kernel_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_prelu_kernel_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_prelu_kernel_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_prelu_kernel_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_remove_batch_dim.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_remove_batch_dim_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_remove_batch_dim_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_remove_batch_dim_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_reshape_alias.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_reshape_alias_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_reshape_alias_copy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_reshape_alias_copy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_reshape_alias_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_reshape_alias_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_reshape_alias_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_reshape_alias_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_reshape_alias_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_reshape_alias_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_reshape_alias_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_reshape_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_reshape_copy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_reshape_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_reshape_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_reshape_from_tensor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_reshape_from_tensor_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_reshape_from_tensor_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_reshape_from_tensor_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_resize_output.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_resize_output_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_resize_output_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_resize_output_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_resize_output_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_rowwise_prune.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_rowwise_prune_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_rowwise_prune_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_rowwise_prune_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sample_dirichlet.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sample_dirichlet_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sample_dirichlet_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sample_dirichlet_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sample_dirichlet_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sample_dirichlet_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_saturate_weight_to_fp16.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_saturate_weight_to_fp16_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_saturate_weight_to_fp16_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_saturate_weight_to_fp16_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_scaled_dot_product_attention.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_scaled_dot_product_attention_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_scaled_dot_product_attention_math.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_scaled_dot_product_attention_math_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_scaled_dot_product_attention_math_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_scaled_dot_product_attention_math_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_scaled_dot_product_attention_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_scaled_dot_product_attention_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_scaled_dot_product_efficient_attention.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_warn_in_autograd.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_scaled_dot_product_efficient_attention_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_scaled_dot_product_efficient_attention_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_scaled_dot_product_efficient_attention_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_scaled_dot_product_efficient_attention_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_scaled_dot_product_efficient_attention_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_scaled_dot_product_efficient_attention_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_scaled_dot_product_efficient_attention_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_scaled_dot_product_flash_attention.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_scaled_dot_product_flash_attention_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_scaled_dot_product_flash_attention_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_scaled_dot_product_flash_attention_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_scaled_dot_product_flash_attention_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_scaled_dot_product_flash_attention_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_scaled_dot_product_flash_attention_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_scaled_dot_product_flash_attention_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_segment_reduce_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_segment_reduce_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_segment_reduce_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_segment_reduce_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_segment_reduce_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_segment_reduce_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_shape_as_tensor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_shape_as_tensor_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_shape_as_tensor_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_shape_as_tensor_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_slow_conv2d_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_slow_conv2d_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_slow_conv2d_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_slow_conv2d_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_slow_conv2d_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_slow_conv2d_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_slow_conv2d_forward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_slow_conv2d_forward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_slow_conv2d_forward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_slow_conv2d_forward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_slow_conv2d_forward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sobol_engine_draw.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sobol_engine_draw_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sobol_engine_draw_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sobol_engine_draw_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sobol_engine_ff.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sobol_engine_ff_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sobol_engine_ff_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sobol_engine_ff_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sobol_engine_initialize_state.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sobol_engine_initialize_state_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sobol_engine_initialize_state_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sobol_engine_initialize_state_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sobol_engine_scramble.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sobol_engine_scramble_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sobol_engine_scramble_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sobol_engine_scramble_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_softmax.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_softmax_backward_data.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_softmax_backward_data_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_softmax_backward_data_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_softmax_backward_data_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_softmax_backward_data_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_softmax_backward_data_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_softmax_backward_data_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_softmax_backward_data_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_softmax_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_softmax_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_softmax_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_softmax_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_softmax_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_softmax_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_softmax_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_addmm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_addmm_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_addmm_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_addmm_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_broadcast_to.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_broadcast_to_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_broadcast_to_copy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_broadcast_to_copy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_string_default_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_broadcast_to_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_broadcast_to_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_broadcast_to_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_bsc_tensor_unsafe.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_bsc_tensor_unsafe_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_bsc_tensor_unsafe_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_bsc_tensor_unsafe_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_bsr_tensor_unsafe.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_bsr_tensor_unsafe_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_bsr_tensor_unsafe_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_bsr_tensor_unsafe_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_compressed_tensor_unsafe.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_compressed_tensor_unsafe_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_compressed_tensor_unsafe_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_compressed_tensor_unsafe_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_coo_tensor_unsafe.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_coo_tensor_unsafe_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_coo_tensor_unsafe_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_coo_tensor_unsafe_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_coo_tensor_with_dims.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_coo_tensor_with_dims_and_tensors.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_coo_tensor_with_dims_and_tensors_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_coo_tensor_with_dims_and_tensors_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_coo_tensor_with_dims_and_tensors_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_coo_tensor_with_dims_and_tensors_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_coo_tensor_with_dims_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_coo_tensor_with_dims_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_coo_tensor_with_dims_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_coo_tensor_with_dims_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_csc_tensor_unsafe.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_csc_tensor_unsafe_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_csc_tensor_unsafe_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_csc_tensor_unsafe_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_csr_prod.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_csr_prod_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_csr_prod_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_csr_prod_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_csr_sum.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_csr_sum_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_csr_sum_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_csr_sum_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_csr_tensor_unsafe.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_csr_tensor_unsafe_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_csr_tensor_unsafe_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_csr_tensor_unsafe_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_log_softmax.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_log_softmax_backward_data.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_log_softmax_backward_data_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_log_softmax_backward_data_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_log_softmax_backward_data_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_log_softmax_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_log_softmax_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_log_softmax_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_log_softmax_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_mm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_mm_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_mm_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_mm_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_mm_reduce_impl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_mm_reduce_impl_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_mm_reduce_impl_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_mm_reduce_impl_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_mm_reduce_impl_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_mm_reduce_impl_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_softmax.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_softmax_backward_data.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_softmax_backward_data_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_softmax_backward_data_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_softmax_backward_data_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_softmax_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_softmax_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_softmax_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_softmax_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_sparse_matmul.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_sparse_matmul_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/arctan2.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_sparse_matmul_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_sparse_matmul_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_sum.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_sum_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_sum_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_sum_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_sum_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_sum_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_sum_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_sum_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_sum_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_spdiags.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_spdiags_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_spdiags_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_spdiags_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_spdiags_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_stack.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_stack_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_stack_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_stack_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_stack_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_standard_gamma.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_standard_gamma_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_standard_gamma_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_standard_gamma_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_standard_gamma_grad.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_standard_gamma_grad_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_standard_gamma_grad_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_standard_gamma_grad_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_standard_gamma_grad_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_standard_gamma_grad_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_standard_gamma_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_standard_gamma_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_ambiguous_defaults.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_ambiguous_defaults_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_ambiguous_defaults_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_ambiguous_defaults_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_autograd_multiple_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_autograd_multiple_dispatch_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_autograd_multiple_dispatch_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_autograd_multiple_dispatch_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_autograd_multiple_dispatch_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_autograd_multiple_dispatch_view.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_autograd_multiple_dispatch_view_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_autograd_multiple_dispatch_view_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_autograd_multiple_dispatch_view_copy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_autograd_multiple_dispatch_view_copy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_autograd_multiple_dispatch_view_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_autograd_multiple_dispatch_view_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_autograd_multiple_dispatch_view_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_autograd_multiple_dispatch_view_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_check_tensor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_check_tensor_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_check_tensor_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_check_tensor_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_optional_filled_intlist.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_optional_filled_intlist_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_optional_filled_intlist_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_optional_filled_intlist_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_optional_filled_intlist_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_optional_floatlist.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_optional_floatlist_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_optional_floatlist_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_optional_floatlist_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_optional_floatlist_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_optional_intlist.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_optional_intlist_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_optional_intlist_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_optional_intlist_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_optional_intlist_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_serialization_subcmul.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_serialization_subcmul_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_serialization_subcmul_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_serialization_subcmul_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_string_default.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_string_default_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_string_default_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_warn_in_autograd_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_warn_in_autograd_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_warn_in_autograd_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_thnn_differentiable_gru_cell_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_thnn_differentiable_gru_cell_backward_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_thnn_differentiable_gru_cell_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_thnn_differentiable_gru_cell_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_thnn_differentiable_lstm_cell_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_thnn_differentiable_lstm_cell_backward_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_thnn_differentiable_lstm_cell_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_thnn_differentiable_lstm_cell_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_thnn_fused_gru_cell.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_thnn_fused_gru_cell_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_thnn_fused_gru_cell_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_thnn_fused_gru_cell_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_thnn_fused_gru_cell_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_thnn_fused_gru_cell_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_thnn_fused_gru_cell_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_thnn_fused_gru_cell_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_thnn_fused_gru_cell_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_thnn_fused_gru_cell_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_thnn_fused_lstm_cell.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_thnn_fused_lstm_cell_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_thnn_fused_lstm_cell_backward_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_thnn_fused_lstm_cell_backward_impl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_thnn_fused_lstm_cell_backward_impl_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_thnn_fused_lstm_cell_backward_impl_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_thnn_fused_lstm_cell_backward_impl_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_thnn_fused_lstm_cell_backward_impl_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_thnn_fused_lstm_cell_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_thnn_fused_lstm_cell_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_thnn_fused_lstm_cell_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_thnn_fused_lstm_cell_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_thnn_fused_lstm_cell_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_thnn_fused_lstm_cell_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_to_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_to_copy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_to_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_to_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_to_cpu.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_to_cpu_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_to_cpu_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_to_cpu_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_to_dense.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_to_dense_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_to_dense_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_to_dense_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_transform_bias_rescale_qkv.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_transform_bias_rescale_qkv_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_transform_bias_rescale_qkv_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_transform_bias_rescale_qkv_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_transform_bias_rescale_qkv_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_transform_bias_rescale_qkv_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_transformer_decoder_only_layer_fwd.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_transformer_decoder_only_layer_fwd_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_transformer_decoder_only_layer_fwd_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_transformer_decoder_only_layer_fwd_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_transformer_decoder_only_layer_fwd_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_transformer_decoder_only_layer_fwd_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_transformer_encoder_layer_fwd.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_transformer_encoder_layer_fwd_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_transformer_encoder_layer_fwd_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_transformer_encoder_layer_fwd_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_transformer_encoder_layer_fwd_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_transformer_encoder_layer_fwd_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_trilinear.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_trilinear_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_trilinear_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_trilinear_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_trilinear_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_triton_multi_head_attention.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_triton_multi_head_attention_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_triton_multi_head_attention_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact1d_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_triton_multi_head_attention_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_triton_multi_head_attention_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_triton_scaled_dot_attention.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_triton_scaled_dot_attention_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_triton_scaled_dot_attention_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_triton_scaled_dot_attention_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_triton_scaled_dot_attention_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_unique.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_unique2.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_unique2_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_unique2_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_unique2_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_unique2_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_unique2_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_unique_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_unique_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_unique_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_unique_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_unique_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_unpack_dual.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_unpack_dual_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_unpack_dual_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_unpack_dual_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_unsafe_view.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_unsafe_view_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_unsafe_view_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_unsafe_view_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_bicubic2d_aa.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_bicubic2d_aa_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_bicubic2d_aa_backward_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_bicubic2d_aa_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_bicubic2d_aa_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_bicubic2d_aa_backward_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_bicubic2d_aa_backward_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_bicubic2d_aa_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_bicubic2d_aa_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_bicubic2d_aa_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_bicubic2d_aa_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_bicubic2d_aa_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_bicubic2d_aa_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_bicubic2d_aa_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_bicubic2d_aa_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_bicubic2d_aa_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_bicubic2d_aa_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_bilinear2d_aa.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_bilinear2d_aa_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_bilinear2d_aa_backward_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_bilinear2d_aa_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_bilinear2d_aa_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_bilinear2d_aa_backward_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_bilinear2d_aa_backward_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_bilinear2d_aa_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_bilinear2d_aa_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_bilinear2d_aa_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_bilinear2d_aa_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_bilinear2d_aa_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_bilinear2d_aa_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_bilinear2d_aa_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_bilinear2d_aa_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_bilinear2d_aa_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_bilinear2d_aa_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact1d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact1d_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact1d_backward_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact1d_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact1d_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact1d_backward_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact1d_backward_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact1d_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact1d_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact1d_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact1d_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact1d_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact1d_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact1d_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact1d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact1d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact2d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact2d_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact2d_backward_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact2d_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact2d_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact2d_backward_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact2d_backward_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact2d_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact2d_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact2d_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact2d_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact2d_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact2d_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact2d_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact2d_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact2d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact2d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact3d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact3d_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact3d_backward_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact3d_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact3d_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact3d_backward_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact3d_backward_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact3d_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact3d_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact3d_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact3d_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact3d_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact3d_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact3d_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact3d_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact3d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact3d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_use_cudnn_ctc_loss.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_use_cudnn_ctc_loss_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_use_cudnn_ctc_loss_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_use_cudnn_ctc_loss_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_use_cudnn_rnn_flatten_weight.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_use_cudnn_rnn_flatten_weight_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_use_cudnn_rnn_flatten_weight_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_use_cudnn_rnn_flatten_weight_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_validate_compressed_sparse_indices.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_validate_compressed_sparse_indices_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_validate_compressed_sparse_indices_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_validate_compressed_sparse_indices_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_validate_compressed_sparse_indices_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_validate_sparse_bsc_tensor_args.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_validate_sparse_bsc_tensor_args_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_validate_sparse_bsc_tensor_args_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_validate_sparse_bsc_tensor_args_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_validate_sparse_bsr_tensor_args.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_validate_sparse_bsr_tensor_args_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_validate_sparse_bsr_tensor_args_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_validate_sparse_bsr_tensor_args_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_validate_sparse_compressed_tensor_args.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_validate_sparse_compressed_tensor_args_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_validate_sparse_compressed_tensor_args_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_validate_sparse_compressed_tensor_args_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_validate_sparse_coo_tensor_args.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_validate_sparse_coo_tensor_args_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_validate_sparse_coo_tensor_args_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_validate_sparse_coo_tensor_args_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_validate_sparse_csc_tensor_args.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_max_pool1d_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_validate_sparse_csc_tensor_args_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_validate_sparse_csc_tensor_args_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_validate_sparse_csc_tensor_args_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_validate_sparse_csr_tensor_args.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_validate_sparse_csr_tensor_args_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_validate_sparse_csr_tensor_args_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_validate_sparse_csr_tensor_args_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_values.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_values_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_values_copy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_values_copy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_values_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_values_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_values_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_values_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_version.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_version_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_version_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_version_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_weight_norm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_weight_norm_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_weight_norm_differentiable_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_weight_norm_differentiable_backward_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_weight_norm_differentiable_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_weight_norm_differentiable_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_weight_norm_interface.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_weight_norm_interface_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_weight_norm_interface_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_weight_norm_interface_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_weight_norm_interface_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_weight_norm_interface_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_weight_norm_interface_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_weight_norm_interface_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_weight_norm_interface_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_weight_norm_interface_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_weight_norm_interface_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_weight_norm_interface_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_weight_norm_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_weight_norm_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/abs.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/abs_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/abs_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/abs_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/abs_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/abs_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/absolute.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/absolute_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/absolute_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/absolute_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/acos.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/acos_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/acos_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/acos_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/acos_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/acos_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/acos_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/acos_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/acosh.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/acosh_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/acosh_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/acosh_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/acosh_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/acosh_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/acosh_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/acosh_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_avg_pool1d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_avg_pool1d_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_avg_pool1d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_avg_pool1d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_avg_pool2d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_avg_pool2d_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_avg_pool2d_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_avg_pool2d_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_avg_pool2d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_avg_pool2d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_avg_pool3d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_avg_pool3d_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_avg_pool3d_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_avg_pool3d_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_avg_pool3d_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_avg_pool3d_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_avg_pool3d_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_avg_pool3d_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_avg_pool3d_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_avg_pool3d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_avg_pool3d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_max_pool1d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_max_pool1d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_max_pool1d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_max_pool2d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_max_pool2d_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_max_pool2d_backward_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_max_pool2d_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_max_pool2d_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_max_pool2d_backward_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_max_pool2d_backward_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_max_pool2d_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_max_pool2d_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_max_pool2d_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_max_pool2d_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_max_pool2d_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_max_pool2d_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_max_pool2d_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_max_pool2d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_max_pool2d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_max_pool3d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_max_pool3d_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_max_pool3d_backward_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_max_pool3d_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_max_pool3d_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_max_pool3d_backward_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_max_pool3d_backward_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_max_pool3d_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_max_pool3d_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_max_pool3d_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_max_pool3d_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_max_pool3d_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_max_pool3d_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_max_pool3d_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_max_pool3d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_max_pool3d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/add.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/add_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/add_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/add_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/add_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/add_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/add_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/add_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/add_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addbmm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addbmm_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addbmm_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addbmm_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addbmm_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addbmm_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addcdiv.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addcdiv_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addcdiv_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addcdiv_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addcdiv_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addcdiv_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addcdiv_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addcdiv_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addcmul.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addcmul_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addcmul_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addcmul_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addcmul_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addcmul_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addcmul_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addcmul_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addmm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addmm_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addmm_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addmm_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addmm_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addmm_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addmm_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addmm_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addmv.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addmv_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addmv_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addmv_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addmv_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addmv_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addmv_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addmv_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addr.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addr_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addr_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addr_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addr_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addr_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adjoint.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adjoint_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adjoint_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adjoint_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/affine_grid_generator.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/affine_grid_generator_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/affine_grid_generator_backward_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/affine_grid_generator_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/affine_grid_generator_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/affine_grid_generator_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/affine_grid_generator_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/affine_grid_generator_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/alias.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/alias_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/alias_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/alias_copy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/alias_copy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/alias_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/alias_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/alias_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/alias_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/align_as.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/align_as_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/align_as_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/align_as_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/align_tensors.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/align_tensors_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/align_tensors_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/align_tensors_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/align_to.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/align_to_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/align_to_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/align_to_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/all.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/all_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/all_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/all_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/all_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/all_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/all_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/all_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/all_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/allclose.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/allclose_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/allclose_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/allclose_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/alpha_dropout.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/alpha_dropout_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/alpha_dropout_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/alpha_dropout_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/amax.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/amax_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/amax_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/amax_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/amax_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/amax_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/amax_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/amax_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/amin.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/amin_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/amin_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/amin_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/amin_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/amin_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/amin_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/amin_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/aminmax.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/aminmax_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/aminmax_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/aminmax_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/aminmax_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/aminmax_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/aminmax_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/aminmax_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/and.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/and_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/and_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/and_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/angle.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/angle_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/angle_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/angle_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/angle_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/any.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/any_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/any_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/any_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/any_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/any_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/any_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/any_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/any_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/arange.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/arange_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/arange_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/arange_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/arange_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/arange_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/arange_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/arccos.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/arccos_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/arccos_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/arccos_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/arccosh.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/arccosh_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/arccosh_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/arccosh_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/arcsin.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/arcsin_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/arcsin_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/arcsin_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/arcsinh.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/arcsinh_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/arcsinh_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/arcsinh_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/arctan.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/arctan2_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/arctan2_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/arctan2_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/arctan_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/arctan_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/arctan_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/arctanh.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/arctanh_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/arctanh_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/arctanh_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/argmax.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/argmax_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/argmax_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/argmax_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/argmax_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/argmax_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/argmax_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/argmax_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/argmin.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/argmin_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/argmin_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/argmin_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/argmin_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/argmin_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/argmin_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/argmin_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/argsort.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/argsort_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/argsort_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/argsort_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/argsort_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/argsort_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/argsort_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/argwhere.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/argwhere_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/argwhere_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/argwhere_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/as_strided.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/as_strided_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/as_strided_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/as_strided_copy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/as_strided_copy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/as_strided_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/as_strided_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/as_strided_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/as_strided_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/as_strided_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/as_strided_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/as_strided_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/as_strided_scatter.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/as_strided_scatter_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/as_strided_scatter_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/as_strided_scatter_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/asin.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/asin_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/asin_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/asin_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/asin_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/asin_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/asin_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/asin_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/asinh.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/asinh_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/asinh_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/asinh_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/asinh_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/asinh_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/asinh_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/asinh_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/atan.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/atan2.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/atan2_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/atan2_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/atan2_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/atan2_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/atan2_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/atan2_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/atan2_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/atan_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/atan_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/atan_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/atan_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/atan_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/atan_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/atan_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/atanh.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/atanh_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/atanh_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/atanh_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/atanh_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/atanh_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/atanh_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/atanh_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/atleast_1d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/atleast_1d_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/atleast_1d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/atleast_1d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/atleast_2d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/atleast_2d_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/atleast_2d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/atleast_2d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/atleast_3d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/atleast_3d_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/atleast_3d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/atleast_3d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/avg_pool1d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/avg_pool1d_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/avg_pool1d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/avg_pool1d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/avg_pool2d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/avg_pool2d_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/avg_pool2d_backward_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/avg_pool2d_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/avg_pool2d_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/avg_pool2d_backward_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/avg_pool2d_backward_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/avg_pool2d_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/avg_pool2d_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/avg_pool2d_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/avg_pool2d_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/avg_pool2d_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/avg_pool2d_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/avg_pool2d_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/avg_pool2d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/avg_pool2d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/avg_pool3d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/avg_pool3d_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/avg_pool3d_backward_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/avg_pool3d_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/avg_pool3d_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/avg_pool3d_backward_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/avg_pool3d_backward_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/avg_pool3d_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/avg_pool3d_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/avg_pool3d_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/avg_pool3d_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/avg_pool3d_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/avg_pool3d_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/avg_pool3d_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/avg_pool3d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/avg_pool3d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/baddbmm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/baddbmm_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/baddbmm_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/baddbmm_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/baddbmm_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/baddbmm_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/baddbmm_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/baddbmm_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bartlett_window.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bartlett_window_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bartlett_window_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bartlett_window_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/batch_norm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/batch_norm_backward_elemt.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/batch_norm_backward_elemt_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/batch_norm_backward_elemt_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/batch_norm_backward_elemt_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/batch_norm_backward_elemt_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/batch_norm_backward_reduce.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/batch_norm_backward_reduce_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/batch_norm_backward_reduce_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/batch_norm_backward_reduce_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/batch_norm_backward_reduce_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/batch_norm_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/batch_norm_elemt.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/batch_norm_elemt_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/batch_norm_elemt_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/batch_norm_elemt_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/batch_norm_gather_stats.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/batch_norm_gather_stats_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/batch_norm_gather_stats_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/batch_norm_gather_stats_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/batch_norm_gather_stats_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/batch_norm_gather_stats_with_counts.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/batch_norm_gather_stats_with_counts_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/batch_norm_gather_stats_with_counts_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/batch_norm_gather_stats_with_counts_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/batch_norm_gather_stats_with_counts_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/batch_norm_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/batch_norm_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/batch_norm_stats.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/batch_norm_stats_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/batch_norm_stats_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/batch_norm_stats_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/batch_norm_stats_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/batch_norm_update_stats.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/batch_norm_update_stats_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/batch_norm_update_stats_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/batch_norm_update_stats_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/batch_norm_update_stats_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/batch_norm_update_stats_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bernoulli_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bernoulli_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bernoulli_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bernoulli_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bernoulli_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bernoulli_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bernoulli_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bilinear.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bilinear_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bilinear_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bilinear_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/binary_cross_entropy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/binary_cross_entropy_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/binary_cross_entropy_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/binary_cross_entropy_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/binary_cross_entropy_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/binary_cross_entropy_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/binary_cross_entropy_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/binary_cross_entropy_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/binary_cross_entropy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/binary_cross_entropy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/binary_cross_entropy_with_logits.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/binary_cross_entropy_with_logits_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/binary_cross_entropy_with_logits_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/binary_cross_entropy_with_logits_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bincount.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bincount_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bincount_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bincount_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bincount_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bincount_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/binomial.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/binomial_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/binomial_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/binomial_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/binomial_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/binomial_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_and.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_and_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_and_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_and_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_and_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_and_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_and_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_and_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_and_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_and_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_left_shift.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_left_shift_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_left_shift_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_left_shift_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_left_shift_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_left_shift_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_left_shift_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_left_shift_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_left_shift_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_not.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_not_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_not_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_not_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_not_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_not_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_not_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_not_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_or.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_or_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_or_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_or_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_or_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_or_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_or_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_or_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_or_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_or_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_right_shift.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_right_shift_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_right_shift_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_right_shift_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_right_shift_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_right_shift_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_right_shift_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_right_shift_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_right_shift_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_xor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_xor_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_xor_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/diagflat_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_xor_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_xor_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_xor_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_xor_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_xor_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_xor_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_xor_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/blackman_window.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/blackman_window_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/blackman_window_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/blackman_window_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/block_diag.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/block_diag_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/block_diag_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/block_diag_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bmm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bmm_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bmm_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bmm_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bmm_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bmm_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bmm_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bmm_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/broadcast_tensors.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/broadcast_tensors_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/broadcast_tensors_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/broadcast_tensors_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/broadcast_to.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/broadcast_to_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/broadcast_to_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/broadcast_to_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bucketize.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bucketize_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bucketize_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bucketize_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bucketize_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bucketize_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/can_cast.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/can_cast_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/can_cast_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/can_cast_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cartesian_prod.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cartesian_prod_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cartesian_prod_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cartesian_prod_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cat.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cat_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cat_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cat_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cat_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cat_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cat_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cat_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cat_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cauchy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cauchy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cauchy_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cauchy_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cauchy_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cauchy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cauchy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ccol_indices.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ccol_indices_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ccol_indices_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ccol_indices_copy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ccol_indices_copy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ccol_indices_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ccol_indices_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ccol_indices_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ccol_indices_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cdist.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cdist_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cdist_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cdist_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ceil.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ceil_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ceil_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ceil_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ceil_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ceil_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ceil_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ceil_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/celu.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/celu_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/celu_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/celu_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/chain_matmul.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/chain_matmul_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/chain_matmul_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/chain_matmul_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/chalf.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/chalf_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/chalf_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/chalf_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/channel_shuffle.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/channel_shuffle_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/channel_shuffle_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/channel_shuffle_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/channel_shuffle_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cholesky.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cholesky_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cholesky_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cholesky_inverse.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_grid_sampler.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cholesky_inverse_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cholesky_inverse_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cholesky_inverse_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cholesky_inverse_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cholesky_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cholesky_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cholesky_solve.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cholesky_solve_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cholesky_solve_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cholesky_solve_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/choose_qparams_optimized.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/choose_qparams_optimized_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/choose_qparams_optimized_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/choose_qparams_optimized_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/chunk.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/chunk_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/chunk_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/chunk_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/clamp.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/clamp_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/clamp_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/clamp_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/clamp_max.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/clamp_max_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/clamp_max_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/clamp_max_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/clamp_max_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/clamp_max_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/clamp_max_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/clamp_max_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/clamp_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/clamp_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/clamp_min.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/clamp_min_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/clamp_min_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/clamp_min_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/clamp_min_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/clamp_min_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/clamp_min_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/clamp_min_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/clamp_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/clamp_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/clip.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/clip_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/clip_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/clip_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/clone.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/clone_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/clone_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/clone_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/coalesce.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/coalesce_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/coalesce_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/coalesce_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/col2im.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/col2im_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/col2im_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/col2im_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/col2im_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/col_indices.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/col_indices_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/col_indices_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/col_indices_copy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/col_indices_copy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/col_indices_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/col_indices_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/col_indices_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/col_indices_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/column_stack.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/column_stack_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/column_stack_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/column_stack_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/combinations.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/combinations_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/combinations_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/combinations_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/complex.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/complex_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/complex_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/complex_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/complex_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/complex_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/concat.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/concat_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/concat_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/concat_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/concatenate.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/concatenate_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/concatenate_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/concatenate_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conj.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conj_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conj_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conj_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conj_physical.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conj_physical_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conj_physical_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conj_physical_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conj_physical_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conj_physical_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conj_physical_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/constant_pad_nd.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/constant_pad_nd_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/constant_pad_nd_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/constant_pad_nd_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/contiguous.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/contiguous_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/contiguous_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/contiguous_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conv1d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conv1d_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conv1d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conv1d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conv2d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conv2d_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conv2d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conv2d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conv3d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conv3d_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conv3d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conv3d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conv_depthwise3d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conv_depthwise3d_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conv_depthwise3d_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conv_depthwise3d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conv_depthwise3d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conv_tbc.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conv_tbc_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conv_tbc_backward_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conv_tbc_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conv_tbc_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conv_tbc_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conv_tbc_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conv_tbc_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conv_transpose1d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conv_transpose1d_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conv_transpose1d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conv_transpose1d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conv_transpose2d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conv_transpose2d_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conv_transpose2d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conv_transpose2d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conv_transpose3d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conv_transpose3d_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conv_transpose3d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conv_transpose3d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/convolution.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/convolution_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/convolution_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/convolution_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/convolution_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/convolution_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/convolution_backward_overrideable.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/convolution_backward_overrideable_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/convolution_backward_overrideable_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/convolution_backward_overrideable_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/convolution_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/convolution_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/convolution_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/convolution_overrideable.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/convolution_overrideable_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/convolution_overrideable_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/convolution_overrideable_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/copy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/copy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/copy_sparse_to_sparse.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/copy_sparse_to_sparse_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/copy_sparse_to_sparse_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/copy_sparse_to_sparse_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/copy_sparse_to_sparse_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/copysign.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/copysign_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/copysign_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/copysign_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/copysign_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/copysign_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/copysign_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/copysign_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/copysign_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/corrcoef.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/corrcoef_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/corrcoef_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/corrcoef_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cos.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cos_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cos_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cos_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cos_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cos_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cos_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cos_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cosh.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_convolution_transpose_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cosh_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cosh_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cosh_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cosh_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cosh_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cosh_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cosh_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cosine_embedding_loss.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cosine_embedding_loss_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cosine_embedding_loss_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cosine_embedding_loss_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cosine_similarity.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cosine_similarity_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cosine_similarity_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cosine_similarity_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/count_nonzero.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/count_nonzero_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/count_nonzero_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/count_nonzero_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/count_nonzero_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/count_nonzero_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cov.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cov_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cov_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cov_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cross.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cross_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cross_entropy_loss.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cross_entropy_loss_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cross_entropy_loss_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cross_entropy_loss_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cross_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cross_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/crow_indices.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/crow_indices_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/crow_indices_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/crow_indices_copy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/crow_indices_copy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/crow_indices_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/crow_indices_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/crow_indices_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/crow_indices_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ctc_loss.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ctc_loss_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ctc_loss_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ctc_loss_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_affine_grid_generator.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_affine_grid_generator_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_affine_grid_generator_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_affine_grid_generator_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_affine_grid_generator_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_affine_grid_generator_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_affine_grid_generator_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_affine_grid_generator_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_affine_grid_generator_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_affine_grid_generator_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_batch_norm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_batch_norm_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_batch_norm_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_batch_norm_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_batch_norm_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_batch_norm_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_batch_norm_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_batch_norm_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_batch_norm_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_batch_norm_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_convolution.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_convolution_add_relu.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_convolution_add_relu_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_convolution_add_relu_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_convolution_add_relu_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_convolution_add_relu_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_convolution_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_convolution_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_convolution_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_convolution_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_convolution_relu.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_convolution_relu_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_convolution_relu_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_convolution_relu_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_convolution_relu_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_convolution_transpose.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_convolution_transpose_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_convolution_transpose_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_convolution_transpose_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_grid_sampler_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_grid_sampler_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_grid_sampler_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_grid_sampler_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_grid_sampler_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_grid_sampler_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_grid_sampler_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_grid_sampler_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_grid_sampler_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_is_acceptable.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_is_acceptable_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_is_acceptable_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_is_acceptable_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cummax.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cummax_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cummax_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cummax_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cummax_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cummaxmin_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cummaxmin_backward_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cummaxmin_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cummaxmin_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cummin.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cummin_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cummin_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cummin_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cummin_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cumprod.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cumprod_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cumprod_backward_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cumprod_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cumprod_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cumprod_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cumprod_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cumprod_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cumprod_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cumprod_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cumprod_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cumprod_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cumprod_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cumsum.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cumsum_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cumsum_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cumsum_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cumsum_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cumsum_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cumsum_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cumsum_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cumsum_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cumulative_trapezoid.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cumulative_trapezoid_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cumulative_trapezoid_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cumulative_trapezoid_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/data.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/data_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/data_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/data_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/deg2rad.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/deg2rad_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/deg2rad_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/deg2rad_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/dense_dim.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/dense_dim_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/dense_dim_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/dense_dim_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/dense_dim_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/dequantize.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/dequantize_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/dequantize_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/dequantize_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/dequantize_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/dequantize_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/det.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/det_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/det_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/det_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/detach.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/detach_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/detach_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/detach_copy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/detach_copy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/detach_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/detach_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/detach_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/detach_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/diag.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/diag_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/diag_embed.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/diag_embed_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/diag_embed_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/diag_embed_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/diag_embed_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/diag_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/diag_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/diagflat.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/diagflat_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/diagflat_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/diagonal_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/diagonal_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/diagonal_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/diagonal_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/diagonal_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/diagonal_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/diagonal_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/diagonal_copy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/diagonal_copy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/diagonal_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/diagonal_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/diagonal_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/diagonal_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/diagonal_scatter.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/diagonal_scatter_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/diagonal_scatter_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/diagonal_scatter_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/diff.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/diff_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/diff_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/diff_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/digamma.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/digamma_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/digamma_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/digamma_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/digamma_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/digamma_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/digamma_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/digamma_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/dist.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/dist_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/dist_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/dist_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/div.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/div_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/div_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/div_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/div_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/div_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/div_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/div_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/div_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/divide.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/divide_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/divide_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/divide_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/dot.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/dot_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/dot_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/dot_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/dot_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/dot_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/dropout.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/dropout_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/dropout_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/dropout_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/dsplit.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/dsplit_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/dsplit_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/dsplit_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/dstack.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/dstack_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/dstack_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/dstack_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/einsum.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/einsum_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/einsum_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/einsum_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/elu.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/elu_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/elu_backward_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/elu_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/elu_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/elu_backward_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/elu_backward_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/elu_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/elu_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/elu_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/elu_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/elu_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/elu_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/elu_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/elu_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/elu_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/embedding.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/embedding_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/embedding_backward_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/embedding_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/embedding_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/embedding_bag.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/embedding_bag_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/embedding_bag_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/embedding_bag_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/embedding_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/embedding_dense_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/embedding_dense_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/embedding_dense_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/embedding_dense_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/embedding_dense_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/embedding_dense_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/embedding_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/embedding_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/embedding_renorm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/embedding_renorm_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/embedding_renorm_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/embedding_renorm_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/embedding_renorm_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/embedding_renorm_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/embedding_renorm_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/embedding_sparse_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/embedding_sparse_backward_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/embedding_sparse_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/embedding_sparse_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/empty.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/empty_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/empty_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/empty_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/empty_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/empty_like.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/empty_like_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/empty_like_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/empty_like_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/empty_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/empty_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/empty_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/empty_quantized.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/empty_quantized_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/empty_quantized_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/empty_quantized_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/empty_strided.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/empty_strided_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/empty_strided_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/empty_strided_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/empty_strided_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/empty_strided_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/empty_strided_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/eq.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/eq_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/eq_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/eq_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/eq_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/eq_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/eq_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/eq_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/equal.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/equal_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/equal_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/equal_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/equal_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/erf.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/erf_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/erf_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/erf_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/erf_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/erf_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/erf_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/erf_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/erfc.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/erfc_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/erfc_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/erfc_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/erfc_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/erfc_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/erfc_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/erfc_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/erfinv.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/erfinv_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/erfinv_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/erfinv_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/erfinv_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/erfinv_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/erfinv_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/erfinv_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/exp.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/exp2.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/exp2_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/exp2_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/exp2_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/exp2_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/exp2_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/exp2_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/exp2_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/exp_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/exp_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/exp_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/exp_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/exp_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/exp_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/exp_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/expand.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/expand_as.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/expand_as_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/expand_as_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/expand_as_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/expand_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/expand_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/expand_copy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/expand_copy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/expand_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/expand_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/expand_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/expand_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/expm1.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/expm1_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/expm1_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/expm1_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/expm1_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/expm1_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/expm1_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/expm1_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/exponential.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/exponential_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/exponential_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/exponential_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/exponential_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/exponential_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/exponential_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/eye.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/eye_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/eye_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/eye_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/eye_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/eye_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/eye_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fake_quantize_per_channel_affine.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fake_quantize_per_channel_affine_cachemask.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fake_quantize_per_channel_affine_cachemask_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fake_quantize_per_channel_affine_cachemask_backward_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fake_quantize_per_channel_affine_cachemask_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fake_quantize_per_channel_affine_cachemask_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fake_quantize_per_channel_affine_cachemask_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fake_quantize_per_channel_affine_cachemask_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fake_quantize_per_channel_affine_cachemask_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fake_quantize_per_channel_affine_cachemask_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fake_quantize_per_channel_affine_cachemask_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fake_quantize_per_channel_affine_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fake_quantize_per_channel_affine_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fake_quantize_per_channel_affine_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fake_quantize_per_tensor_affine.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fake_quantize_per_tensor_affine_cachemask.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fake_quantize_per_tensor_affine_cachemask_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fake_quantize_per_tensor_affine_cachemask_backward_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fake_quantize_per_tensor_affine_cachemask_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fake_quantize_per_tensor_affine_cachemask_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fake_quantize_per_tensor_affine_cachemask_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fake_quantize_per_tensor_affine_cachemask_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fake_quantize_per_tensor_affine_cachemask_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fake_quantize_per_tensor_affine_cachemask_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fake_quantize_per_tensor_affine_cachemask_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fake_quantize_per_tensor_affine_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fake_quantize_per_tensor_affine_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fake_quantize_per_tensor_affine_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fbgemm_linear_fp16_weight.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fbgemm_linear_fp16_weight_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fbgemm_linear_fp16_weight_fp32_activation.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fbgemm_linear_fp16_weight_fp32_activation_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fbgemm_linear_fp16_weight_fp32_activation_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fbgemm_linear_fp16_weight_fp32_activation_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fbgemm_linear_fp16_weight_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fbgemm_linear_fp16_weight_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fbgemm_linear_int8_weight.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fbgemm_linear_int8_weight_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fbgemm_linear_int8_weight_fp32_activation.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fbgemm_linear_int8_weight_fp32_activation_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fbgemm_linear_int8_weight_fp32_activation_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fbgemm_linear_int8_weight_fp32_activation_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fbgemm_linear_int8_weight_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fbgemm_linear_int8_weight_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fbgemm_linear_quantize_weight.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fbgemm_linear_quantize_weight_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fbgemm_linear_quantize_weight_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fbgemm_linear_quantize_weight_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fbgemm_pack_gemm_matrix_fp16.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fbgemm_pack_gemm_matrix_fp16_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fbgemm_pack_gemm_matrix_fp16_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fbgemm_pack_gemm_matrix_fp16_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fbgemm_pack_quantized_matrix.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fbgemm_pack_quantized_matrix_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fbgemm_pack_quantized_matrix_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fbgemm_pack_quantized_matrix_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/feature_alpha_dropout.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/feature_alpha_dropout_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/feature_alpha_dropout_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/feature_alpha_dropout_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/feature_dropout.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/feature_dropout_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/feature_dropout_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/feature_dropout_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_fft.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_fft2.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_fft2_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_fft2_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_fft2_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_fft_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_fft_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_fft_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_fftfreq.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_fftfreq_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_fftfreq_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_fftfreq_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_fftn.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_fftn_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_fftn_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_fftn_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_fftshift.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_fftshift_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_fftshift_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_fftshift_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_hfft.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_hfft2.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_hfft2_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_hfft2_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_hfft2_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_hfft_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_hfft_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_hfft_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_hfftn.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_hfftn_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_hfftn_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_hfftn_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_ifft.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_ifft2.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_ifft2_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_ifft2_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_ifft2_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_ifft_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_ifft_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_ifft_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_ifftn.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_ifftn_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_ifftn_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_ifftn_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_ifftshift.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_ifftshift_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_ifftshift_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_ifftshift_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_ihfft.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_ihfft2.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_ihfft2_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_ihfft2_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_ihfft2_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_ihfft_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_ihfft_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_ihfft_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_ihfftn.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_ihfftn_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_ihfftn_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_ihfftn_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_irfft.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_irfft2.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_irfft2_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_irfft2_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_irfft2_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_irfft_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_irfft_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_irfft_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_irfftn.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_irfftn_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_irfftn_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_irfftn_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_rfft.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_rfft2.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_rfft2_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_rfft2_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_rfft2_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_rfft_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_rfft_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_rfft_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_rfftfreq.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_rfftfreq_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_rfftfreq_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_rfftfreq_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_rfftn.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_rfftn_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_rfftn_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_rfftn_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fill.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fill_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fill_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fill_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fill_diagonal.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fill_diagonal_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fill_diagonal_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fill_diagonal_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fill_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fill_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fill_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fix.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fix_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fix_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fix_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/flatten.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/flatten_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/flatten_dense_tensors.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/flatten_dense_tensors_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/flatten_dense_tensors_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/flatten_dense_tensors_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/flatten_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/flatten_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/flip.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/flip_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/flip_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/flip_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/flip_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/flip_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fliplr.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fliplr_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fliplr_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fliplr_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/flipud.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/flipud_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/flipud_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/flipud_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/float_power.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/float_power_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/float_power_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/float_power_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/floor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/floor_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/floor_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/floor_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/floor_divide.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/floor_divide_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/floor_divide_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/floor_divide_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/floor_divide_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/floor_divide_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/floor_divide_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/floor_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/floor_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/floor_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/floor_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fmax.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fmax_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fmax_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fmax_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fmax_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fmax_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fmax_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fmax_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fmin.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fmin_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fmin_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fmin_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fmin_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fmin_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fmin_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fmin_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fmod.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fmod_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fmod_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fmod_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fmod_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fmod_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fmod_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fmod_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fmod_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/frac.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/frac_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/frac_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/frac_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/frac_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/frac_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/frac_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/frac_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fractional_max_pool2d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fractional_max_pool2d_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fractional_max_pool2d_backward_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fractional_max_pool2d_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fractional_max_pool2d_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fractional_max_pool2d_backward_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fractional_max_pool2d_backward_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fractional_max_pool2d_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fractional_max_pool2d_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fractional_max_pool2d_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fractional_max_pool2d_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fractional_max_pool2d_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fractional_max_pool2d_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fractional_max_pool2d_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fractional_max_pool2d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fractional_max_pool2d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fractional_max_pool3d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fractional_max_pool3d_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fractional_max_pool3d_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fractional_max_pool3d_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fractional_max_pool3d_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fractional_max_pool3d_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fractional_max_pool3d_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fractional_max_pool3d_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fractional_max_pool3d_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fractional_max_pool3d_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fractional_max_pool3d_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fractional_max_pool3d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fractional_max_pool3d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/frexp.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/frexp_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/frexp_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/frexp_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/frexp_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/frexp_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/frobenius_norm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/frobenius_norm_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/frobenius_norm_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/frobenius_norm_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/from_file.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/from_file_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/from_file_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/from_file_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/from_file_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/full.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/full_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/full_like.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/full_like_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/full_like_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/full_like_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/full_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/full_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fused_moving_avg_obs_fake_quant.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fused_moving_avg_obs_fake_quant_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fused_moving_avg_obs_fake_quant_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fused_moving_avg_obs_fake_quant_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gather.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gather_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gather_backward_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gather_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gather_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gather_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gather_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gather_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gather_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gather_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gather_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gather_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gather_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gcd.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gcd_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gcd_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gcd_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gcd_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gcd_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gcd_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gcd_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ge.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ge_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ge_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ge_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ge_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ge_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ge_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ge_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gelu.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gelu_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gelu_backward_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gelu_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gelu_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gelu_backward_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gelu_backward_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gelu_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gelu_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gelu_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gelu_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gelu_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gelu_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gelu_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gelu_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gelu_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/geometric.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/geometric_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/geometric_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/geometric_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/geometric_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/geometric_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/geometric_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/geqrf.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/geqrf_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/geqrf_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/geqrf_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/geqrf_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ger.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ger_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ger_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/glu.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/glu_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/glu_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/glu_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/glu_backward_jvp.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/glu_backward_jvp_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/glu_backward_jvp_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/glu_backward_jvp_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/glu_backward_jvp_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/glu_backward_jvp_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/glu_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/glu_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/glu_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/glu_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/glu_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/glu_jvp.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/glu_jvp_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/glu_jvp_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/glu_jvp_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/glu_jvp_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/glu_jvp_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/glu_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/glu_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/glu_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/glu_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gradient.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gradient_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gradient_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gradient_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/greater.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/greater_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/greater_equal.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/greater_equal_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/greater_equal_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/greater_equal_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/greater_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/greater_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/grid_sampler.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/grid_sampler_2d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/grid_sampler_2d_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/grid_sampler_2d_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/grid_sampler_2d_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/grid_sampler_2d_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/grid_sampler_2d_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/grid_sampler_2d_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/grid_sampler_2d_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/grid_sampler_2d_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/grid_sampler_2d_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/grid_sampler_2d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/grid_sampler_2d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/grid_sampler_3d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/grid_sampler_3d_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/grid_sampler_3d_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/grid_sampler_3d_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/grid_sampler_3d_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/grid_sampler_3d_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/grid_sampler_3d_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/grid_sampler_3d_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/grid_sampler_3d_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/grid_sampler_3d_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/grid_sampler_3d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/grid_sampler_3d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/grid_sampler_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/grid_sampler_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/grid_sampler_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/group_norm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/group_norm_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/group_norm_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/group_norm_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gru.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gru_cell.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gru_cell_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gru_cell_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gru_cell_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gru_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gru_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gru_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gt.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gt_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gt_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gt_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gt_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gt_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gt_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gt_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hamming_window.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hamming_window_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hamming_window_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hamming_window_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hann_window.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hann_window_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hann_window_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hann_window_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardshrink.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardshrink_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardshrink_backward_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardshrink_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hypot_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardshrink_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardshrink_backward_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardshrink_backward_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardshrink_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardshrink_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardshrink_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardshrink_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardshrink_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardshrink_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardshrink_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardshrink_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardshrink_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardsigmoid.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardsigmoid_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardsigmoid_backward_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardsigmoid_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardsigmoid_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardsigmoid_backward_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardsigmoid_backward_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardsigmoid_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardsigmoid_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardsigmoid_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardsigmoid_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardsigmoid_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardsigmoid_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardsigmoid_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardsigmoid_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardsigmoid_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardswish.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardswish_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardswish_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardswish_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardswish_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardswish_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardswish_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardswish_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardswish_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardswish_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardswish_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardswish_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardtanh.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardtanh_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardtanh_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardtanh_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardtanh_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardtanh_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardtanh_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardtanh_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardtanh_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardtanh_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardtanh_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/heaviside.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/heaviside_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/heaviside_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/heaviside_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/heaviside_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/heaviside_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/heaviside_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/heaviside_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hinge_embedding_loss.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hinge_embedding_loss_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hinge_embedding_loss_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hinge_embedding_loss_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/histc.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/histc_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/histc_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/histc_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/histc_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/histogram.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/histogram_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/histogram_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/histogram_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/histogramdd.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/histogramdd_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/histogramdd_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/histogramdd_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hsplit.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hsplit_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hsplit_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hsplit_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hspmm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hspmm_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hspmm_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hstack.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hstack_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hstack_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hstack_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/huber_loss.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/huber_loss_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/huber_loss_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/huber_loss_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/huber_loss_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/huber_loss_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/huber_loss_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/huber_loss_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/huber_loss_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/huber_loss_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/huber_loss_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hypot.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hypot_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hypot_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hypot_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hypot_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hypot_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hypot_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/i0.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/i0_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/i0_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/i0_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/i0_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/i0_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/i0_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/i0_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/igamma.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/igamma_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/igamma_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/igamma_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/igamma_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/igamma_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/igamma_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/igamma_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/igammac.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/igammac_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/igammac_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/igammac_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/igammac_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/igammac_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/igammac_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/igammac_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/im2col.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/im2col_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/im2col_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/im2col_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/im2col_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/imag.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/imag_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/imag_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/imag_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_add.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_add_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_add_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_add_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_add_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_add_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_add_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_add_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_add_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_copy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_copy_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_copy_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_copy_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_copy_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_copy_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_fill.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_fill_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_fill_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_fill_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_fill_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_fill_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_fill_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_fill_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_put.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_put_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_put_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_put_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_reduce.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_reduce_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_reduce_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_reduce_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_reduce_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_reduce_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_reduce_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_reduce_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_select.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_select_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_select_backward_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_select_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_select_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_select_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_select_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_select_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_select_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_select_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/indices.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/indices_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/indices_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/indices_copy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/indices_copy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/indices_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/indices_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/indices_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/indices_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isnan_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/infinitely_differentiable_gelu_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/infinitely_differentiable_gelu_backward_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/infinitely_differentiable_gelu_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/infinitely_differentiable_gelu_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/inner.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/inner_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/inner_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/inner_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/instance_norm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/instance_norm_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/instance_norm_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/instance_norm_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/int_repr.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/int_repr_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/int_repr_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/int_repr_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/inverse.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/inverse_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/inverse_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/inverse_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_coalesced.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_coalesced_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_coalesced_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_coalesced_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_complex.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_complex_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_complex_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_complex_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_conj.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_conj_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_conj_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_conj_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_distributed.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_distributed_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_distributed_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_distributed_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_floating_point.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_floating_point_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_floating_point_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_floating_point_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_inference.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_inference_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_inference_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_inference_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_leaf.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_leaf_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_leaf_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_leaf_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_neg.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_neg_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_neg_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_neg_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_nonzero.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_nonzero_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_nonzero_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_nonzero_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_pinned.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_pinned_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_pinned_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_pinned_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_pinned_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_same_size.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_same_size_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_same_size_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_same_size_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_set_to.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_set_to_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_set_to_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_set_to_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_set_to_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_signed.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_signed_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_signed_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_signed_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_vulkan_available.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_vulkan_available_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_vulkan_available_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_vulkan_available_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isclose.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isclose_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isclose_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isclose_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isfinite.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isfinite_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isfinite_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isfinite_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isin.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isin_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isin_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isin_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isin_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isin_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isin_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isin_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isinf.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isinf_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isinf_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isinf_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isnan.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isnan_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isnan_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isnan_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isnan_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isneginf.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isneginf_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isneginf_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isneginf_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isneginf_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isneginf_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isneginf_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isneginf_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isposinf.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isposinf_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isposinf_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isposinf_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isposinf_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isposinf_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isposinf_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isposinf_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isreal.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isreal_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isreal_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isreal_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/istft.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/istft_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/istft_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/istft_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/item.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/item_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/item_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/item_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/kaiser_window.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/kaiser_window_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/kaiser_window_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/kaiser_window_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/kl_div.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/kl_div_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/kl_div_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/kl_div_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/kron.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/kron_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/kron_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/kron_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/kthvalue.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/kthvalue_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/kthvalue_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/kthvalue_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/kthvalue_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/kthvalue_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/kthvalue_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/l1_loss.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/l1_loss_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/l1_loss_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/l1_loss_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/layer_norm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/layer_norm_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/layer_norm_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/layer_norm_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lcm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lcm_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lcm_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lcm_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lcm_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lcm_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lcm_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lcm_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ldexp.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ldexp_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ldexp_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ldexp_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/le.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/le_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/le_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/le_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/le_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/le_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/le_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/le_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/leaky_relu.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/leaky_relu_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/leaky_relu_backward_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/leaky_relu_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/leaky_relu_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/leaky_relu_backward_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/leaky_relu_backward_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/leaky_relu_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/leaky_relu_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/leaky_relu_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/leaky_relu_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/leaky_relu_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/leaky_relu_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/leaky_relu_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/leaky_relu_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/leaky_relu_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lerp.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lerp_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lerp_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lerp_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lerp_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lerp_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lerp_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lerp_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/less.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/less_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/less_equal.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/less_equal_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/less_equal_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/less_equal_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/less_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/less_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lgamma.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lgamma_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lgamma_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lgamma_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lgamma_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lgamma_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lgamma_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lgamma_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lift.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lift_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lift_fresh.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lift_fresh_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lift_fresh_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lift_fresh_copy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lift_fresh_copy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lift_fresh_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lift_fresh_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lift_fresh_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lift_fresh_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lift_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lift_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_cholesky.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_cholesky_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_cholesky_ex.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_cholesky_ex_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_cholesky_ex_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_cholesky_ex_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_cholesky_ex_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_cholesky_ex_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_cholesky_ex_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_cholesky_ex_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_cholesky_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_cholesky_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_cond.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_cond_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_cond_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_cond_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_cross.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_cross_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_cross_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_cross_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_cross_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_cross_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_cross_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_cross_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_det.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_det_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_det_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_det_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_diagonal.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_diagonal_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_diagonal_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_diagonal_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_eig.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_eig_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_eig_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_eig_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_eig_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_eigh.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_eigh_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_eigh_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_eigh_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_eigvals.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_eigvals_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_eigvals_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_eigvals_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_eigvalsh.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_eigvalsh_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_eigvalsh_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_eigvalsh_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_householder_product.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_householder_product_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_householder_product_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_householder_product_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_householder_product_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_inv.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_inv_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_inv_ex.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_inv_ex_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_inv_ex_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_inv_ex_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_inv_ex_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_inv_ex_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_inv_ex_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_inv_ex_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_inv_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_inv_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_ldl_factor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_ldl_factor_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_ldl_factor_ex.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_ldl_factor_ex_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_ldl_factor_ex_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_ldl_factor_ex_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_ldl_factor_ex_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_qr_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_ldl_factor_ex_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_ldl_factor_ex_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_ldl_factor_ex_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_ldl_factor_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_ldl_factor_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_ldl_solve.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_ldl_solve_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_ldl_solve_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_ldl_solve_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_ldl_solve_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_ldl_solve_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_ldl_solve_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_ldl_solve_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_lstsq.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_lstsq_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_lstsq_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_lstsq_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_lstsq_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_lstsq_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_lu.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_lu_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_lu_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_lu_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_lu_factor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_lu_factor_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_lu_factor_ex.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_lu_factor_ex_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_lu_factor_ex_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_lu_factor_ex_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_lu_factor_ex_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_lu_factor_ex_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_lu_factor_ex_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_lu_factor_ex_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_lu_factor_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_lu_factor_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_lu_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_lu_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_lu_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_lu_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_lu_solve.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_lu_solve_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_lu_solve_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_lu_solve_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_lu_solve_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_lu_solve_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_lu_solve_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_lu_solve_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_matmul.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_matmul_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_matmul_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_matmul_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_matrix_exp.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_matrix_exp_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_matrix_exp_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_matrix_exp_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_matrix_exp_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_matrix_exp_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_matrix_norm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_matrix_norm_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_matrix_norm_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_matrix_norm_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_matrix_power.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_matrix_power_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_matrix_power_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_matrix_power_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_matrix_rank.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_matrix_rank_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_matrix_rank_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_matrix_rank_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_multi_dot.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_multi_dot_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_multi_dot_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_multi_dot_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_norm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_norm_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_norm_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_norm_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_pinv.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_pinv_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_pinv_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_pinv_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_pinv_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_pinv_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_qr.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_qr_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_qr_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_qr_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_qr_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_qr_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_qr_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_slogdet.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_slogdet_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_slogdet_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_slogdet_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_solve.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_solve_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_solve_ex.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_solve_ex_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_solve_ex_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_solve_ex_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_solve_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_solve_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_solve_triangular.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_solve_triangular_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_solve_triangular_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_solve_triangular_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_solve_triangular_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_svd.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_svd_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_svd_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_svd_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_svdvals.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_svdvals_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_svdvals_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_svdvals_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_tensorinv.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_tensorinv_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_tensorinv_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_tensorinv_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_tensorsolve.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_tensorsolve_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_tensorsolve_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_tensorsolve_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_vander.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_vander_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_vander_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_vander_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_vecdot.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_vecdot_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_vecdot_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_vecdot_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_vector_norm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_vector_norm_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_vector_norm_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_vector_norm_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_vector_norm_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_vector_norm_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_vector_norm_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_vector_norm_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linear.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linear_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linear_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linear_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linear_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linear_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linear_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linear_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linear_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linspace.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linspace_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linspace_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linspace_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linspace_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linspace_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linspace_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log10.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log10_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log10_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log10_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log10_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log10_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log10_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log10_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log1p.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log1p_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log1p_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log1p_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log1p_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log1p_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log1p_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log1p_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log2.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log2_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log2_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log2_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log2_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log2_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log2_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log2_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log_normal.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log_normal_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/min.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log_normal_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log_normal_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log_normal_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log_normal_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log_normal_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log_sigmoid.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log_sigmoid_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log_sigmoid_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log_sigmoid_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log_sigmoid_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log_sigmoid_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log_sigmoid_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log_sigmoid_forward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log_sigmoid_forward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log_sigmoid_forward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log_sigmoid_forward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log_sigmoid_forward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log_sigmoid_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log_sigmoid_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log_softmax.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log_softmax_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log_softmax_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log_softmax_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log_softmax_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logaddexp.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logaddexp2.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logaddexp2_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logaddexp2_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logaddexp2_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logaddexp2_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logaddexp2_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logaddexp2_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logaddexp2_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logaddexp_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logaddexp_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logaddexp_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logaddexp_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logaddexp_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logaddexp_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logaddexp_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logcumsumexp.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logcumsumexp_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logcumsumexp_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logcumsumexp_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logcumsumexp_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logdet.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logdet_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logdet_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logdet_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logical_and.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logical_and_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logical_and_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logical_and_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logical_and_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logical_and_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logical_not.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logical_not_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logical_not_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logical_not_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logical_not_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logical_not_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logical_or.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logical_or_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logical_or_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logical_or_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logical_or_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logical_or_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logical_xor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logical_xor_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logical_xor_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logical_xor_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logical_xor_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logical_xor_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logit.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logit_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logit_backward_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logit_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logit_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logit_backward_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logit_backward_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logit_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logit_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logit_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logit_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logit_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logit_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logit_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logspace.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logspace_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logspace_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logspace_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logspace_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logspace_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logspace_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logsumexp.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logsumexp_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logsumexp_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logsumexp_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logsumexp_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logsumexp_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lshift.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lshift_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lshift_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lshift_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lshift_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lshift_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lshift_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lstm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lstm_cell.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lstm_cell_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lstm_cell_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lstm_cell_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lstm_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lstm_mps_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lstm_mps_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lstm_mps_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lstm_mps_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lstm_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lstm_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lt.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lt_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lt_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lt_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lt_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lt_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lt_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lt_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lu_solve.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lu_solve_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lu_solve_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lu_solve_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lu_unpack.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lu_unpack_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lu_unpack_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lu_unpack_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lu_unpack_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lu_unpack_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lu_unpack_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lu_unpack_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mH.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mH_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mH_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mH_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mT.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mT_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mT_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mT_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/margin_ranking_loss.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/margin_ranking_loss_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/margin_ranking_loss_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/margin_ranking_loss_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/masked_fill.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/masked_fill_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/masked_fill_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/masked_fill_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/masked_fill_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/masked_fill_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/masked_fill_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/masked_scatter.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/masked_scatter_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/masked_scatter_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/masked_scatter_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/masked_scatter_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/masked_scatter_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/masked_scatter_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/masked_select.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/masked_select_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/masked_select_backward_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/masked_select_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/masked_select_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/masked_select_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/masked_select_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/masked_select_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/masked_select_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/matmul.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/matmul_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/matmul_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/matmul_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/matmul_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/matmul_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/matmul_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/matmul_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/matrix_H.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/matrix_H_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/matrix_H_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/matrix_H_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/matrix_exp.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/matrix_exp_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/matrix_exp_backward_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/matrix_exp_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/matrix_exp_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/matrix_exp_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/matrix_exp_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/matrix_exp_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/matrix_power.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/matrix_power_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/matrix_power_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/matrix_power_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/meshgrid_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool1d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool1d_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool1d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool1d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool1d_with_indices.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool1d_with_indices_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool1d_with_indices_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool1d_with_indices_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool2d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool2d_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool2d_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool2d_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool2d_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool2d_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool2d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool2d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool2d_with_indices.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool2d_with_indices_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool2d_with_indices_backward_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool2d_with_indices_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool2d_with_indices_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool2d_with_indices_backward_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool2d_with_indices_backward_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool2d_with_indices_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool2d_with_indices_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool2d_with_indices_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool2d_with_indices_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool2d_with_indices_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool2d_with_indices_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool2d_with_indices_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool2d_with_indices_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool2d_with_indices_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool3d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool3d_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool3d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool3d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool3d_with_indices.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool3d_with_indices_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool3d_with_indices_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool3d_with_indices_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool3d_with_indices_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool3d_with_indices_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool3d_with_indices_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool3d_with_indices_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool3d_with_indices_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool3d_with_indices_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_unpool2d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_unpool2d_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_unpool2d_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_unpool2d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_unpool2d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_unpool3d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_unpool3d_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_unpool3d_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_unpool3d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_unpool3d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/maximum.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/maximum_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/maximum_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/maximum_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/maximum_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/maximum_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/maximum_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/maximum_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mean.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mean_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mean_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mean_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mean_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mean_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mean_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mean_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mean_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mean_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/median.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/median_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/median_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/median_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/median_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/median_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/median_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/meshgrid.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/meshgrid_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/meshgrid_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/min_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/min_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/min_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/min_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/min_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/min_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/min_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/min_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/minimum.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/minimum_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/minimum_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/minimum_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/minimum_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/minimum_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/minimum_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/minimum_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_batch_norm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_batch_norm_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_batch_norm_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_batch_norm_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_batch_norm_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_batch_norm_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_batch_norm_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_batch_norm_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_batch_norm_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_batch_norm_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_convolution.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_convolution_add_relu.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_convolution_add_relu_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_convolution_add_relu_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_convolution_add_relu_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_convolution_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_convolution_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_convolution_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_convolution_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_convolution_relu.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_convolution_relu_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_convolution_relu_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_convolution_relu_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_convolution_transpose.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_convolution_transpose_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_convolution_transpose_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_convolution_transpose_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_convolution_transpose_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_depthwise_convolution.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_depthwise_convolution_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_depthwise_convolution_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_depthwise_convolution_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_depthwise_convolution_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_rnn.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_rnn_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_rnn_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_rnn_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_rnn_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_rnn_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_rnn_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_rnn_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_rnn_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_rnn_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mish.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mish_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mish_backward_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mish_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mish_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mish_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mish_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mish_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mish_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mish_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mish_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mish_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mish_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mish_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_adaptive_avg_pool2d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_adaptive_avg_pool2d_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_adaptive_avg_pool2d_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_adaptive_avg_pool2d_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_adaptive_avg_pool2d_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_adaptive_avg_pool2d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_adaptive_avg_pool2d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_convolution.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_convolution_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_convolution_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_convolution_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_linear.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_linear_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_linear_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mse_loss_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_linear_backward_input.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_linear_backward_input_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_linear_backward_input_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_linear_backward_input_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_linear_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_linear_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_linear_backward_weights.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_linear_backward_weights_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_linear_backward_weights_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_linear_backward_weights_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_linear_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_linear_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_linear_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_max_pool2d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_max_pool2d_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_max_pool2d_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_max_pool2d_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_max_pool2d_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_max_pool2d_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_max_pool2d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_max_pool2d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_max_pool3d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_max_pool3d_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_max_pool3d_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_max_pool3d_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_max_pool3d_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_max_pool3d_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_max_pool3d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_max_pool3d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_reorder_conv2d_weight.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_reorder_conv2d_weight_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_reorder_conv2d_weight_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_reorder_conv2d_weight_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_reorder_conv3d_weight.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_reorder_conv3d_weight_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_reorder_conv3d_weight_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_reorder_conv3d_weight_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_rnn_layer.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_rnn_layer_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_rnn_layer_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_rnn_layer_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_rnn_layer_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_rnn_layer_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_rnn_layer_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_rnn_layer_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_rnn_layer_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_rnn_layer_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mm_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mm_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mm_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mm_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mm_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mm_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mm_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mode.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mode_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mode_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mode_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mode_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mode_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mode_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/moveaxis.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/moveaxis_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/moveaxis_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/moveaxis_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/movedim.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/movedim_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/movedim_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/movedim_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mps_convolution_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mps_convolution_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mps_convolution_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mps_convolution_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mps_convolution_transpose_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mps_convolution_transpose_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mps_convolution_transpose_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mps_convolution_transpose_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mse_loss.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mse_loss_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mse_loss_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mse_loss_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mse_loss_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mse_loss_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mse_loss_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mse_loss_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mse_loss_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mse_loss_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mse_loss_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mse_loss_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/msort.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/msort_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/msort_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/msort_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mul.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mul_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mul_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mul_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mul_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mul_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mul_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mul_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mul_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/multi_margin_loss.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/multi_margin_loss_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/multi_margin_loss_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/multi_margin_loss_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/multi_margin_loss_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/multi_margin_loss_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/multi_margin_loss_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/multi_margin_loss_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/multi_margin_loss_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/multi_margin_loss_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/multilabel_margin_loss.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/multilabel_margin_loss_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/multilabel_margin_loss_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/multilabel_margin_loss_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/multilabel_margin_loss_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/multilabel_margin_loss_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/multilabel_margin_loss_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/multilabel_margin_loss_forward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/multilabel_margin_loss_forward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/multilabel_margin_loss_forward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/multilabel_margin_loss_forward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/multilabel_margin_loss_forward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/multilabel_margin_loss_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/multilabel_margin_loss_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/multinomial.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/multinomial_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/multinomial_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/multinomial_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/multinomial_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/multiply.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/multiply_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/multiply_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/multiply_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mv.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mv_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mv_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mv_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mvlgamma.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mvlgamma_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mvlgamma_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mvlgamma_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mvlgamma_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mvlgamma_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nan_to_num.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nan_to_num_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nan_to_num_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nan_to_num_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nan_to_num_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nan_to_num_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nanmean.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nanmean_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nanmean_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nanmean_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nanmedian.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nanmedian_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nanmedian_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nanmedian_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nanmedian_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nanmedian_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nanmedian_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nanquantile.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nanquantile_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nanquantile_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nanquantile_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nansum.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nansum_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nansum_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nansum_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nansum_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/narrow.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/narrow_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/narrow_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/narrow_copy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/narrow_copy_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/narrow_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/narrow_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/narrow_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/narrow_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_batch_norm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_batch_norm_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_batch_norm_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_batch_norm_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_batch_norm_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_batch_norm_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_batch_norm_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_batch_norm_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_batch_norm_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_batch_norm_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_batch_norm_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_channel_shuffle.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_channel_shuffle_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_channel_shuffle_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_channel_shuffle_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_channel_shuffle_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_dropout.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_dropout_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_dropout_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_dropout_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_dropout_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_dropout_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_dropout_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_dropout_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_dropout_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_dropout_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_dropout_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_dropout_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_group_norm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_group_norm_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_group_norm_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_group_norm_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_group_norm_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_group_norm_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_group_norm_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_group_norm_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_group_norm_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_group_norm_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_group_norm_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_group_norm_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_layer_norm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_layer_norm_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_layer_norm_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_layer_norm_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_layer_norm_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_layer_norm_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_layer_norm_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_layer_norm_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_layer_norm_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_layer_norm_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_layer_norm_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_layer_norm_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_norm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_norm_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_norm_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_norm_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ne.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ne_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ne_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ne_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ne_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ne_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ne_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ne_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/neg.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/neg_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/neg_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/neg_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/neg_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/neg_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/neg_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/neg_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/negative.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/negative_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/negative_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/negative_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nested_to_padded_tensor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nested_to_padded_tensor_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nested_to_padded_tensor_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nested_to_padded_tensor_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/new_empty.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/new_empty_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/new_empty_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/new_empty_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/new_empty_strided.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/new_empty_strided_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/new_empty_strided_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/new_empty_strided_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/new_empty_strided_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/new_full.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/new_full_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/new_full_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rot90.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/new_full_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/new_ones.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/new_ones_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/new_ones_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/new_ones_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/new_zeros.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/new_zeros_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/new_zeros_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/new_zeros_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nextafter.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nextafter_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nextafter_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nextafter_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nextafter_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nextafter_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nextafter_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nextafter_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nll_loss.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nll_loss2d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nll_loss2d_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nll_loss2d_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nll_loss2d_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nll_loss2d_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nll_loss2d_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nll_loss2d_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nll_loss2d_forward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nll_loss2d_forward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nll_loss2d_forward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nll_loss2d_forward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nll_loss2d_forward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nll_loss2d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nll_loss2d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nll_loss_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nll_loss_backward_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nll_loss_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nll_loss_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nll_loss_backward_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nll_loss_backward_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nll_loss_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nll_loss_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nll_loss_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nll_loss_forward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nll_loss_forward_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nll_loss_forward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nll_loss_forward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nll_loss_forward_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nll_loss_forward_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nll_loss_forward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nll_loss_forward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nll_loss_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nll_loss_nd.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nll_loss_nd_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nll_loss_nd_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nll_loss_nd_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nll_loss_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nonzero.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nonzero_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nonzero_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nonzero_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nonzero_numpy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nonzero_numpy_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nonzero_numpy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nonzero_numpy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nonzero_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/norm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/norm_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/norm_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/norm_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/norm_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/norm_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/norm_except_dim.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/norm_except_dim_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/norm_except_dim_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/norm_except_dim_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/norm_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/norm_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/norm_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/norm_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/normal.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/normal_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/normal_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/normal_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/normal_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/normal_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/normal_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/not_equal.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/not_equal_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/not_equal_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/not_equal_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nuclear_norm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nuclear_norm_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nuclear_norm_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nuclear_norm_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/numpy_T.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/numpy_T_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/numpy_T_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/numpy_T_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/one_hot.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/one_hot_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/one_hot_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/one_hot_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ones.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ones_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ones_like.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ones_like_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ones_like_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ones_like_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ones_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ones_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/or.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/or_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/or_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/or_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/orgqr.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/orgqr_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/orgqr_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/orgqr_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ormqr.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ormqr_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ormqr_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ormqr_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ormqr_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/outer.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/outer_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/outer_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/outer_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/output_nr.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/output_nr_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/output_nr_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/output_nr_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pad.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pad_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pad_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pad_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pad_sequence.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pad_sequence_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pad_sequence_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pad_sequence_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pairwise_distance.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pairwise_distance_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pairwise_distance_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pairwise_distance_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pdist.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pdist_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pdist_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pdist_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/permute.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/permute_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/permute_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/permute_copy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/permute_copy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/permute_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/permute_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/permute_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/permute_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pin_memory.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pin_memory_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pin_memory_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pin_memory_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pinverse.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pinverse_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pinverse_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pinverse_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pixel_shuffle.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pixel_shuffle_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pixel_shuffle_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pixel_shuffle_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pixel_shuffle_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pixel_shuffle_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pixel_unshuffle.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pixel_unshuffle_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pixel_unshuffle_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pixel_unshuffle_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pixel_unshuffle_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pixel_unshuffle_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/poisson.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/poisson_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/poisson_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/poisson_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/poisson_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/poisson_nll_loss.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/poisson_nll_loss_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/poisson_nll_loss_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/poisson_nll_loss_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/poisson_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/polar.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/polar_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/polar_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/polar_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/polar_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/polar_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/polygamma.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/polygamma_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/polygamma_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/polygamma_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/polygamma_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/polygamma_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/polygamma_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/polygamma_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/polygamma_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/positive.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/positive_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/positive_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/positive_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pow.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pow_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pow_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pow_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pow_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pow_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pow_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pow_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/prelu.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/prelu_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/prelu_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/prelu_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/prod.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/prod_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/prod_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/prod_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/prod_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/prod_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/prod_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/prod_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/prod_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/prod_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/promote_types.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/promote_types_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/promote_types_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/promote_types_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/put.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/put_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/put_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/put_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/put_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/put_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/put_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/q_per_channel_axis.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/q_per_channel_axis_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/q_per_channel_axis_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/q_per_channel_scales.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/q_per_channel_scales_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/q_per_channel_scales_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/q_per_channel_scales_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/q_per_channel_zero_points.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/q_per_channel_zero_points_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/q_per_channel_zero_points_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/q_per_channel_zero_points_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/q_scale.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/q_scale_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/q_scale_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/q_zero_point.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/q_zero_point_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/q_zero_point_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/qr.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/qr_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/qr_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/qr_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/qscheme.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/qscheme_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/qscheme_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantile.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantile_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantile_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantile_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantize_per_channel.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantize_per_channel_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantize_per_channel_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantize_per_channel_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantize_per_channel_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantize_per_channel_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantize_per_tensor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantize_per_tensor_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantize_per_tensor_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantize_per_tensor_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantize_per_tensor_dynamic.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantize_per_tensor_dynamic_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantize_per_tensor_dynamic_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantize_per_tensor_dynamic_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantize_per_tensor_dynamic_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantize_per_tensor_dynamic_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantize_per_tensor_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantize_per_tensor_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantized_batch_norm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantized_batch_norm_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantized_batch_norm_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantized_batch_norm_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantized_gru_cell.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantized_gru_cell_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantized_gru_cell_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantized_gru_cell_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantized_lstm_cell.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantized_lstm_cell_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantized_lstm_cell_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantized_lstm_cell_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantized_max_pool1d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantized_max_pool1d_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantized_max_pool1d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantized_max_pool1d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantized_max_pool2d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantized_max_pool2d_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantized_max_pool2d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantized_max_pool2d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantized_rnn_relu_cell.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantized_rnn_relu_cell_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantized_rnn_relu_cell_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantized_rnn_relu_cell_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantized_rnn_tanh_cell.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantized_rnn_tanh_cell_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantized_rnn_tanh_cell_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantized_rnn_tanh_cell_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rad2deg.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rad2deg_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rad2deg_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rad2deg_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rand.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rand_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rand_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rand_like.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rand_like_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rand_like_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rand_like_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rand_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rand_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/randint.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/randint_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/randint_like.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/randint_like_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/randint_like_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/randint_like_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/randint_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/randint_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/randn.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/randn_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/randn_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/randn_like.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/randn_like_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/randn_like_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/randn_like_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/randn_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/randn_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/random.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/random_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/random_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/random_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/random_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/random_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/random_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/randperm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/randperm_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/randperm_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/randperm_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/randperm_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/randperm_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/range.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/range_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/range_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/range_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/range_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/range_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/range_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ravel.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ravel_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ravel_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ravel_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/real.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/real_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/real_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/real_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reciprocal.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reciprocal_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reciprocal_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reciprocal_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reciprocal_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reciprocal_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reciprocal_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reciprocal_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/record_stream.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/record_stream_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/record_stream_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/record_stream_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/refine_names.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/refine_names_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/refine_names_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/refine_names_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad1d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad1d_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad1d_backward_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad1d_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad1d_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad1d_backward_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad1d_backward_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad1d_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad1d_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad1d_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad1d_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad1d_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/roll_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad1d_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad1d_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad1d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad1d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad2d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad2d_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad2d_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad2d_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad2d_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad2d_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad2d_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad2d_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad2d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad2d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad3d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad3d_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad3d_backward_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad3d_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad3d_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad3d_backward_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad3d_backward_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad3d_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad3d_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad3d_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad3d_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad3d_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad3d_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad3d_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad3d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad3d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/relu.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/relu6.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/relu6_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/relu6_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/relu6_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/relu_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/relu_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/relu_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/relu_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/relu_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/relu_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/remainder.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/remainder_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/remainder_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/remainder_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/remainder_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/remainder_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/remainder_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/remainder_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/remainder_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rename.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rename_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rename_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rename_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/renorm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/renorm_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/renorm_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/renorm_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/renorm_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/renorm_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/renorm_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/renorm_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/repeat.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/repeat_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/repeat_interleave.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/repeat_interleave_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/repeat_interleave_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/repeat_interleave_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/repeat_interleave_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/repeat_interleave_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/repeat_interleave_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/repeat_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/repeat_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad1d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad1d_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad1d_backward_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad1d_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad1d_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad1d_backward_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad1d_backward_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad1d_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad1d_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad1d_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad1d_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad1d_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad1d_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad1d_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad1d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad1d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad2d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad2d_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/roll_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad2d_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad2d_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad2d_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad2d_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad2d_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad2d_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad2d_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad2d_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad2d_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad2d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad2d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad3d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad3d_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad3d_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad3d_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad3d_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad3d_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad3d_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad3d_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad3d_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad3d_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad3d_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad3d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad3d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/requires_grad.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/requires_grad_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/requires_grad_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/requires_grad_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reshape.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reshape_as.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reshape_as_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reshape_as_compositeimplicitautogradnestedtensor_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reshape_as_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reshape_as_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reshape_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reshape_compositeimplicitautogradnestedtensor_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reshape_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reshape_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/resize.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/resize_as.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/resize_as_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/resize_as_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/resize_as_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/resize_as_sparse.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/resize_as_sparse_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/resize_as_sparse_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/resize_as_sparse_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/resize_as_sparse_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/resize_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/resize_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/resize_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/resize_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/resize_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/resize_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/resolve_conj.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/resolve_conj_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/resolve_conj_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/resolve_conj_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/resolve_neg.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/resolve_neg_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/resolve_neg_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/resolve_neg_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/result_type.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/result_type_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/result_type_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/result_type_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/retain_grad.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/retain_grad_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/retain_grad_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/retain_grad_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/retains_grad.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/retains_grad_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/retains_grad_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/retains_grad_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rnn_relu.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rnn_relu_cell.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rnn_relu_cell_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rnn_relu_cell_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rnn_relu_cell_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rnn_relu_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rnn_relu_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rnn_relu_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rnn_tanh.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rnn_tanh_cell.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rnn_tanh_cell_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rnn_tanh_cell_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rnn_tanh_cell_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rnn_tanh_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rnn_tanh_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rnn_tanh_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/roll.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/roll_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/roll_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/roll_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rot90_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rot90_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rot90_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/round.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/round_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/round_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/round_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/round_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/round_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/round_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/round_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/row_indices.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/row_indices_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/row_indices_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/row_indices_copy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/row_indices_copy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/row_indices_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/row_indices_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/row_indices_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/row_indices_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/row_stack.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/row_stack_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/row_stack_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/row_stack_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rrelu.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rrelu_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rrelu_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rrelu_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rrelu_with_noise.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rrelu_with_noise_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rrelu_with_noise_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rrelu_with_noise_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rrelu_with_noise_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rrelu_with_noise_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rrelu_with_noise_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rrelu_with_noise_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rrelu_with_noise_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rrelu_with_noise_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rshift.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rshift_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rshift_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rshift_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rshift_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rshift_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rshift_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rsqrt.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rsqrt_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rsqrt_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rsqrt_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rsqrt_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rsqrt_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rsqrt_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rsqrt_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rsub.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rsub_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rsub_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rsub_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rsub_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rsub_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/scalar_tensor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/scalar_tensor_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/scalar_tensor_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/scalar_tensor_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/scaled_dot_product_attention.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/scaled_dot_product_attention_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/scaled_dot_product_attention_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/scaled_dot_product_attention_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/scatter.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/scatter_add.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/scatter_add_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/scatter_add_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/scatter_add_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/scatter_add_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/scatter_add_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/scatter_add_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/scatter_add_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/scatter_add_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/scatter_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/scatter_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/scatter_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/scatter_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/scatter_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/scatter_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/scatter_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/scatter_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/scatter_reduce.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/scatter_reduce_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/scatter_reduce_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/scatter_reduce_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/scatter_reduce_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/scatter_reduce_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/scatter_reduce_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/scatter_reduce_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/searchsorted.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/searchsorted_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/searchsorted_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/searchsorted_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/searchsorted_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/searchsorted_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/segment_reduce.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/segment_reduce_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/segment_reduce_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/segment_reduce_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/segment_reduce_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/segment_reduce_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/select.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/select_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/select_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/select_backward_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/select_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/select_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/select_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/select_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/select_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/select_copy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/select_copy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/select_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/select_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/select_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/select_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/select_scatter.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/select_scatter_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/select_scatter_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/select_scatter_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/selu.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/selu_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/selu_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/selu_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/set.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/set_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/set_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/set_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/set_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/set_data.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/set_data_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/set_data_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/set_data_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/set_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/set_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/set_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sgn.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sgn_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sgn_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sgn_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sgn_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sgn_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sgn_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sgn_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sigmoid.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sigmoid_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sigmoid_backward_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sigmoid_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sigmoid_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sigmoid_backward_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sigmoid_backward_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sigmoid_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sigmoid_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sigmoid_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sigmoid_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sigmoid_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sigmoid_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sigmoid_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sigmoid_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sigmoid_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sign.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sign_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sign_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sign_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sign_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sign_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sign_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sign_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/signbit.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/signbit_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/signbit_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/signbit_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/signbit_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/signbit_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/signbit_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/signbit_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/silu.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/silu_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/silu_backward_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/silu_backward_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/silu_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/silu_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/silu_backward_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/silu_backward_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/silu_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/silu_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/silu_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/silu_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/silu_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/silu_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/silu_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/silu_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/silu_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sin.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sin_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sin_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sin_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sin_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sin_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sin_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sin_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sinc.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sinc_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sinc_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sinc_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sinc_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sinc_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sinc_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sinc_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sinh.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sinh_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sinh_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sinh_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sinh_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sinh_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sinh_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sinh_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/size.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/size_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/size_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/size_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slice.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slice_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slice_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slice_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slice_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slice_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slice_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slice_copy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slice_copy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slice_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slice_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slice_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slice_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slice_scatter.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slice_scatter_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slice_scatter_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slice_scatter_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slogdet.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slogdet_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slogdet_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slogdet_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slow_conv3d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slow_conv3d_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slow_conv3d_forward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slow_conv3d_forward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slow_conv3d_forward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slow_conv3d_forward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slow_conv3d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slow_conv3d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slow_conv_dilated2d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slow_conv_dilated2d_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slow_conv_dilated2d_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slow_conv_dilated2d_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slow_conv_dilated2d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slow_conv_dilated2d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slow_conv_dilated3d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slow_conv_dilated3d_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slow_conv_dilated3d_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slow_conv_dilated3d_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slow_conv_dilated3d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slow_conv_dilated3d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slow_conv_transpose2d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slow_conv_transpose2d_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slow_conv_transpose2d_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slow_conv_transpose2d_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slow_conv_transpose2d_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slow_conv_transpose2d_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slow_conv_transpose2d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slow_conv_transpose2d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slow_conv_transpose3d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slow_conv_transpose3d_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slow_conv_transpose3d_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slow_conv_transpose3d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slow_conv_transpose3d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/smm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/smm_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/smm_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/smm_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/smooth_l1_loss.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/smooth_l1_loss_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/smooth_l1_loss_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/smooth_l1_loss_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/smooth_l1_loss_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/smooth_l1_loss_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/smooth_l1_loss_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/smooth_l1_loss_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/smooth_l1_loss_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/smooth_l1_loss_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/smooth_l1_loss_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/smooth_l1_loss_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/smooth_l1_loss_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/smooth_l1_loss_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/soft_margin_loss.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/soft_margin_loss_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/soft_margin_loss_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/soft_margin_loss_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/soft_margin_loss_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/soft_margin_loss_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/soft_margin_loss_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/soft_margin_loss_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/softmax.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/softmax_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/softmax_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/softmax_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/softmax_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/softplus.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/softplus_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/softplus_backward_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/softplus_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/softplus_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/softplus_backward_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/softplus_backward_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/softplus_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/softplus_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/softplus_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/softplus_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/softplus_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/softplus_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/softplus_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/softplus_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/softplus_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/softshrink.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/softshrink_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/softshrink_backward_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/softshrink_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/softshrink_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/softshrink_backward_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/softshrink_backward_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/softshrink_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/softshrink_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/softshrink_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/softshrink_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/softshrink_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/softshrink_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/softshrink_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/softshrink_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/softshrink_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sort.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sort_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sort_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sort_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sort_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sort_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sort_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sort_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sort_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sort_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_bsc_tensor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_bsc_tensor_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_bsc_tensor_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_bsc_tensor_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_bsr_tensor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_bsr_tensor_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_bsr_tensor_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_bsr_tensor_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_compressed_tensor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_compressed_tensor_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_compressed_tensor_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_compressed_tensor_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_coo_tensor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_coo_tensor_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_coo_tensor_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_coo_tensor_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_coo_tensor_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_csc_tensor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_csc_tensor_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_csc_tensor_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_csc_tensor_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_csr_tensor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_csr_tensor_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_csr_tensor_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_csr_tensor_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_dim.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_dim_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_dim_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_dim_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_dim_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_mask.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_mask_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_mask_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_mask_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_resize.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_resize_and_clear.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_resize_and_clear_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_resize_and_clear_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_resize_and_clear_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_resize_and_clear_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_resize_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_resize_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_resize_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_resize_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_sampled_addmm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_sampled_addmm_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_sampled_addmm_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_airy_ai.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_airy_ai_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_airy_ai_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_airy_ai_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_airy_ai_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_airy_ai_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_airy_ai_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_airy_ai_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_bessel_j0.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_bessel_j0_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_bessel_j0_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_bessel_j0_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_bessel_j0_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_bessel_j0_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_bessel_j0_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_bessel_j0_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_bessel_j1.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_bessel_j1_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_bessel_j1_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_bessel_j1_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_bessel_j1_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_bessel_j1_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_bessel_j1_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_bessel_j1_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_bessel_y0.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_bessel_y0_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_bessel_y0_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_bessel_y0_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_bessel_y0_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_bessel_y0_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_bessel_y0_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_bessel_y0_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_bessel_y1.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_bessel_y1_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_bessel_y1_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_bessel_y1_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_bessel_y1_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_bessel_y1_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_bessel_y1_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_bessel_y1_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_t.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_t_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_t_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_t_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_t_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_t_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_t_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_t_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_t_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_t_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_u.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_u_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_u_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_u_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_u_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_u_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_u_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_u_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_u_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_u_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_v.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_v_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_v_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_v_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_v_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_v_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_v_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_v_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_v_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_v_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_w.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_w_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_w_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_w_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_w_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_w_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_w_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_w_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_w_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_w_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_digamma.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_digamma_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_digamma_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_digamma_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_entr.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_entr_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_entr_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_entr_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_entr_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_entr_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_entr_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_entr_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_erf.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_erf_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_erf_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_erf_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_erfc.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_erfc_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_erfc_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_erfc_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_erfcx.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_erfcx_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_erfcx_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_erfcx_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_erfcx_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_erfcx_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_erfcx_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_erfcx_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_erfinv.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_erfinv_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_erfinv_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_erfinv_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_exp2.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_exp2_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_exp2_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_exp2_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_expit.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_expit_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_expit_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_expit_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_expm1.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_expm1_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_expm1_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_expm1_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_gammainc.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_gammainc_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_gammainc_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_gammainc_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_gammaincc.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_gammaincc_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_gammaincc_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_gammaincc_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_gammaln.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_gammaln_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_gammaln_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_gammaln_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_hermite_polynomial_h.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_hermite_polynomial_h_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_hermite_polynomial_h_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_hermite_polynomial_h_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_hermite_polynomial_h_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_hermite_polynomial_h_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_hermite_polynomial_h_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_hermite_polynomial_h_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_hermite_polynomial_h_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_hermite_polynomial_h_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_hermite_polynomial_he.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_hermite_polynomial_he_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_hermite_polynomial_he_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_hermite_polynomial_he_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_hermite_polynomial_he_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_hermite_polynomial_he_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_hermite_polynomial_he_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_hermite_polynomial_he_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_hermite_polynomial_he_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_hermite_polynomial_he_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_i0.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_i0_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_i0_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_i0_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_i0e.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_i0e_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_i0e_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_i0e_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_i0e_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_i0e_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_i0e_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_i0e_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_i1.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_i1_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_i1_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_i1_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_i1_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_i1_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_i1_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_i1_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_i1e.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_i1e_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_i1e_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_i1e_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_i1e_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_i1e_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_i1e_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_i1e_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_laguerre_polynomial_l.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_laguerre_polynomial_l_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_laguerre_polynomial_l_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_laguerre_polynomial_l_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_laguerre_polynomial_l_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_laguerre_polynomial_l_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_laguerre_polynomial_l_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_laguerre_polynomial_l_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_laguerre_polynomial_l_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_laguerre_polynomial_l_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_legendre_polynomial_p.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_legendre_polynomial_p_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_legendre_polynomial_p_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_legendre_polynomial_p_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_legendre_polynomial_p_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_legendre_polynomial_p_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_legendre_polynomial_p_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_legendre_polynomial_p_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_legendre_polynomial_p_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_legendre_polynomial_p_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_log1p.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_log1p_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_log1p_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_log1p_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_log_ndtr.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_log_ndtr_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_log_ndtr_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_log_ndtr_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_log_ndtr_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_log_ndtr_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_log_ndtr_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_log_ndtr_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_log_softmax.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_log_softmax_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_log_softmax_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_log_softmax_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_logit.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_logit_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_logit_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_logit_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_logsumexp.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_logsumexp_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_logsumexp_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_logsumexp_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_modified_bessel_i0.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_modified_bessel_i0_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_modified_bessel_i0_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_modified_bessel_i0_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_modified_bessel_i0_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_modified_bessel_i0_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_modified_bessel_i0_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_modified_bessel_i0_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_modified_bessel_i1.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_modified_bessel_i1_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_modified_bessel_i1_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_modified_bessel_i1_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_modified_bessel_i1_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_modified_bessel_i1_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_modified_bessel_i1_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_modified_bessel_i1_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_modified_bessel_k0.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_modified_bessel_k0_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_modified_bessel_k0_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_modified_bessel_k0_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_modified_bessel_k0_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_modified_bessel_k0_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_modified_bessel_k0_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_modified_bessel_k0_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_modified_bessel_k1.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_modified_bessel_k1_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_modified_bessel_k1_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_modified_bessel_k1_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_modified_bessel_k1_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_modified_bessel_k1_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_modified_bessel_k1_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_modified_bessel_k1_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_multigammaln.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_multigammaln_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_multigammaln_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_multigammaln_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_ndtr.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_ndtr_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_ndtr_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_ndtr_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_ndtri.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_ndtri_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_ndtri_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_ndtri_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_ndtri_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_ndtri_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_ndtri_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_ndtri_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_polygamma.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_polygamma_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_polygamma_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_polygamma_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_psi.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_psi_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_psi_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_psi_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_round.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_round_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_round_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_round_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_scaled_modified_bessel_k0.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_scaled_modified_bessel_k0_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_scaled_modified_bessel_k0_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_scaled_modified_bessel_k0_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_scaled_modified_bessel_k0_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_scaled_modified_bessel_k0_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_scaled_modified_bessel_k0_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_scaled_modified_bessel_k0_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_scaled_modified_bessel_k1.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_scaled_modified_bessel_k1_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_scaled_modified_bessel_k1_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_scaled_modified_bessel_k1_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sub_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_scaled_modified_bessel_k1_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_scaled_modified_bessel_k1_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_scaled_modified_bessel_k1_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_scaled_modified_bessel_k1_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_t.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_t_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_t_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_t_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_t_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_t_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_t_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_t_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_t_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_t_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_u.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_u_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_u_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_u_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_u_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_u_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_u_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_u_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_u_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_u_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_v.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_v_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_v_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_v_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_v_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_v_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_v_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_v_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_v_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_v_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_w.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_w_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_w_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_w_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_w_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_w_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_w_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_w_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_w_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_w_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_sinc.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_sinc_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_sinc_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_sinc_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_softmax.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_softmax_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_softmax_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_softmax_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_spherical_bessel_j0.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_spherical_bessel_j0_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_spherical_bessel_j0_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_spherical_bessel_j0_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_spherical_bessel_j0_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_spherical_bessel_j0_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_spherical_bessel_j0_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_spherical_bessel_j0_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_xlog1py.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sub_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_xlog1py_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_xlog1py_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_xlog1py_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_xlog1py_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_xlog1py_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_xlog1py_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_xlog1py_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_xlog1py_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_xlogy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_xlogy_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_xlogy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_xlogy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_zeta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_zeta_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_zeta_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_zeta_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_zeta_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_zeta_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_zeta_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_zeta_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_zeta_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/split.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/split_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/split_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/split_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/split_copy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/split_copy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/split_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/split_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/split_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/split_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/split_with_sizes.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/split_with_sizes_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/split_with_sizes_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/split_with_sizes_copy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/split_with_sizes_copy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/split_with_sizes_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/split_with_sizes_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/split_with_sizes_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/split_with_sizes_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sqrt.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sqrt_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sqrt_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sqrt_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sqrt_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sqrt_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sqrt_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sqrt_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/square.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/square_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/square_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/square_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/squeeze.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/squeeze_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/squeeze_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/squeeze_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/squeeze_copy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/squeeze_copy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/squeeze_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/squeeze_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/squeeze_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/squeeze_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sspaddmm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sspaddmm_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sspaddmm_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sspaddmm_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sspaddmm_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sspaddmm_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/stack.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/stack_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/stack_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/stack_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/std.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/std_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/std_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/std_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/std_mean.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/std_mean_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/std_mean_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/std_mean_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/std_mean_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/std_mean_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/std_mean_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/std_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/std_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/stft.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/stft_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/stft_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/stft_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/stride.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/stride_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/stride_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/stride_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sub.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sub_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sub_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sub_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sub_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sub_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sub_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/subtract.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/subtract_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/subtract_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/subtract_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sum.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sum_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sum_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sum_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sum_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sum_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sum_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sum_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sum_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sum_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sum_to_size.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sum_to_size_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sum_to_size_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sum_to_size_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/svd.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/svd_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/svd_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/svd_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/swapaxes.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/swapaxes_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/swapaxes_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/swapaxes_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/swapdims.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/swapdims_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/swapdims_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/swapdims_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/t.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/t_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/t_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/t_copy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/t_copy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/t_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/t_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/t_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/t_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/take.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/take_along_dim.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/take_along_dim_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/take_along_dim_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/take_along_dim_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/take_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/take_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/take_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/take_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tan.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tan_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tan_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tan_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tan_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tan_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tan_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tan_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tanh.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tanh_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tanh_backward_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tanh_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tanh_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tanh_backward_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tanh_backward_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tanh_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tanh_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tanh_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tanh_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tanh_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tanh_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tanh_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tanh_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tanh_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tensor_split.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tensor_split_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tensor_split_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tensor_split_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tensordot.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tensordot_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tensordot_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tensordot_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tensordot_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tensordot_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/thnn_conv2d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/thnn_conv2d_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/thnn_conv2d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/thnn_conv2d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/threshold.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/threshold_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/threshold_backward_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/threshold_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/threshold_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/threshold_backward_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/threshold_backward_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/threshold_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/threshold_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/threshold_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/threshold_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/threshold_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/threshold_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/threshold_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/threshold_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/threshold_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tile.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/zero_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tile_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tile_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tile_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_dense.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_dense_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_dense_backward_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_dense_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_dense_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_dense_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_dense_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_dense_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_mkldnn.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_mkldnn_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_mkldnn_backward_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_mkldnn_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_mkldnn_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_mkldnn_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_mkldnn_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_mkldnn_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_mkldnn_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_padded_tensor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_padded_tensor_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_padded_tensor_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_padded_tensor_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_sparse.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_sparse_bsc.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_sparse_bsc_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_sparse_bsc_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_sparse_bsc_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_sparse_bsc_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_sparse_bsc_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_sparse_bsr.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_sparse_bsr_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_sparse_bsr_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_sparse_bsr_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_sparse_bsr_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_sparse_bsr_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_sparse_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_sparse_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_sparse_csc.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_sparse_csc_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_sparse_csc_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_sparse_csc_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_sparse_csc_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_sparse_csc_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_sparse_csr.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_sparse_csr_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_sparse_csr_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_sparse_csr_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_sparse_csr_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_sparse_csr_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_sparse_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_sparse_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_sparse_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/topk.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/topk_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/topk_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/topk_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/topk_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/topk_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/topk_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/topk_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/trace.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/trace_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/trace_backward_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/trace_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/trace_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/trace_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/trace_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/trace_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/trace_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/trace_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/transpose.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/transpose_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/transpose_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/transpose_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/transpose_copy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/transpose_copy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/transpose_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/transpose_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/transpose_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/transpose_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/trapezoid.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/trapezoid_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/trapezoid_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/trapezoid_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/trapz.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/trapz_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/trapz_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/trapz_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/triangular_solve.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/triangular_solve_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/triangular_solve_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/triangular_solve_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/triangular_solve_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/triangular_solve_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/triangular_solve_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/triangular_solve_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tril.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tril_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tril_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tril_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tril_indices.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tril_indices_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tril_indices_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tril_indices_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tril_indices_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tril_indices_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tril_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tril_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tril_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tril_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/triplet_margin_loss.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/triplet_margin_loss_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/triplet_margin_loss_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/triplet_margin_loss_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/triu.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/triu_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/triu_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/triu_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/triu_indices.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/triu_indices_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/triu_indices_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/triu_indices_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/triu_indices_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/triu_indices_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/triu_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/triu_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/triu_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/triu_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/true_divide.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/true_divide_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/true_divide_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/true_divide_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/trunc.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/trunc_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/trunc_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/trunc_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/trunc_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/trunc_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/trunc_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/trunc_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/type_as.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/type_as_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/type_as_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/type_as_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unbind.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unbind_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unbind_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unbind_compositeimplicitautogradnestedtensor_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unbind_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unbind_copy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unbind_copy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unbind_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unbind_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unbind_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unbind_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unflatten.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unflatten_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unflatten_dense_tensors.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unflatten_dense_tensors_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unflatten_dense_tensors_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unflatten_dense_tensors_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unflatten_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unflatten_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unfold.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unfold_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unfold_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unfold_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unfold_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unfold_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unfold_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unfold_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unfold_copy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unfold_copy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unfold_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unfold_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unfold_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unfold_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unfold_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unfold_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unfold_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/uniform.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/uniform_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/uniform_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/uniform_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/uniform_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/uniform_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/uniform_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unique_consecutive.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unique_consecutive_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unique_consecutive_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unique_consecutive_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unique_consecutive_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unique_consecutive_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unique_dim.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unique_dim_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unique_dim_consecutive.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unique_dim_consecutive_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unique_dim_consecutive_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unique_dim_consecutive_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unique_dim_consecutive_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unique_dim_consecutive_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unique_dim_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unique_dim_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unique_dim_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unique_dim_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unsafe_chunk.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unsafe_chunk_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unsafe_chunk_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unsafe_chunk_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unsafe_split.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unsafe_split_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unsafe_split_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unsafe_split_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unsafe_split_with_sizes.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unsafe_split_with_sizes_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unsafe_split_with_sizes_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unsafe_split_with_sizes_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unsqueeze.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unsqueeze_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unsqueeze_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unsqueeze_copy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unsqueeze_copy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unsqueeze_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unsqueeze_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unsqueeze_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unsqueeze_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_bicubic2d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_bicubic2d_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_bicubic2d_backward_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_bicubic2d_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_bicubic2d_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_bicubic2d_backward_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_bicubic2d_backward_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_bicubic2d_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_bicubic2d_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_bicubic2d_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_bicubic2d_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_bicubic2d_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_bicubic2d_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_bicubic2d_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_bicubic2d_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_bicubic2d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_bicubic2d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_bilinear2d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_bilinear2d_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_bilinear2d_backward_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_bilinear2d_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_bilinear2d_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_bilinear2d_backward_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_bilinear2d_backward_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_bilinear2d_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_bilinear2d_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_bilinear2d_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_bilinear2d_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_bilinear2d_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_bilinear2d_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_bilinear2d_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_bilinear2d_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_bilinear2d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_bilinear2d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_linear1d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_linear1d_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_linear1d_backward_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_linear1d_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_linear1d_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_linear1d_backward_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_linear1d_backward_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_linear1d_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_linear1d_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_linear1d_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_linear1d_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_linear1d_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_linear1d_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_linear1d_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_linear1d_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_linear1d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_linear1d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest1d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest1d_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest1d_backward_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest1d_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest1d_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest1d_backward_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest1d_backward_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest1d_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest1d_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest1d_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest1d_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest1d_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest1d_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest1d_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest1d_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest1d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest1d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest2d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest2d_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest2d_backward_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest2d_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest2d_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest2d_backward_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest2d_backward_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest2d_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest2d_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest2d_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest2d_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest2d_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest2d_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest2d_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest2d_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest2d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest2d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest3d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest3d_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest3d_backward_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest3d_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest3d_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest3d_backward_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest3d_backward_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest3d_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest3d_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest3d_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest3d_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest3d_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest3d_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest3d_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest3d_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest3d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest3d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_trilinear3d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_trilinear3d_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_trilinear3d_backward_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_trilinear3d_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_trilinear3d_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_trilinear3d_backward_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_trilinear3d_backward_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_trilinear3d_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_trilinear3d_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_trilinear3d_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_trilinear3d_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_trilinear3d_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_trilinear3d_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_trilinear3d_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_trilinear3d_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_trilinear3d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_trilinear3d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/value_selecting_reduction_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/value_selecting_reduction_backward_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/value_selecting_reduction_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/value_selecting_reduction_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/values.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/values_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/values_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/values_copy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/values_copy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/values_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/values_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/values_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/values_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/vander.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/vander_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/vander_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/vander_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/var.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/var_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/var_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/var_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/var_mean.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/var_mean_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/var_mean_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/var_mean_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/var_mean_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/var_mean_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/var_mean_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/var_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/var_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/vdot.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/vdot_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/vdot_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/vdot_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/vdot_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/vdot_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/view.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/view_as.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/view_as_complex.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/view_as_complex_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/view_as_complex_copy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/view_as_complex_copy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/view_as_complex_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/view_as_complex_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/view_as_complex_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/view_as_complex_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/view_as_complex_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/view_as_complex_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/view_as_complex_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/view_as_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/view_as_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/view_as_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/view_as_real.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/view_as_real_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/view_as_real_copy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/view_as_real_copy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/view_as_real_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/view_as_real_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/view_as_real_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/view_as_real_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/view_as_real_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/view_as_real_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/view_as_real_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/view_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/view_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/view_copy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/view_copy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/view_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/view_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/view_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/view_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/view_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/view_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/view_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/vsplit.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/vsplit_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/vsplit_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/vsplit_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/vstack.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/vstack_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/vstack_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/vstack_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/where.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/where_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/where_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/where_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/where_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/where_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/xlogy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/xlogy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/xlogy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/xlogy_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/xlogy_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/xlogy_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/xlogy_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/xlogy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/xlogy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/xor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/xor_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/xor_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/xor_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/zero.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/zero_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/zero_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/zero_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/zero_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/zero_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/zeros.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/zeros_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/zeros_like.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/zeros_like_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/zeros_like_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/zeros_like_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/zeros_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/zeros_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/hip creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/hip/impl copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/hip/impl/HIPAllocatorMasqueradingAsCUDA.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/hip/impl copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/hip/impl/HIPCachingAllocatorMasqueradingAsCUDA.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/hip/impl copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/hip/impl/HIPGuardImplMasqueradingAsCUDA.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/hip/impl copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/hip/impl/HIPStreamMasqueradingAsCUDA.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/hip/impl creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/miopen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/miopen/Descriptors.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/miopen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/miopen/Exceptions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/miopen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/miopen/Handle.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/miopen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/miopen/Types.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/miopen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/miopen/Utils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/miopen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/miopen/miopen-wrapper.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/miopen creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/detail copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/detail/CUDAHooksInterface.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/detail copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/detail/FunctionTraits.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/detail copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/detail/HIPHooksInterface.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/detail copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/detail/MPSHooksInterface.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/detail copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/detail/ORTHooksInterface.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/detail creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/Activation.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/AdaptivePooling.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/BatchLinearAlgebra.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/BinaryOps.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/BucketizationUtils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/CPUBlas.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/CPUFallback.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/CanUse32BitIndexMath.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/ComplexHelper.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/CompositeRandomAccessor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/CompositeRandomAccessorCommon.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/ConvUtils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/ConvolutionMM3d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/Copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/Cross.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/DilatedConvolutionUtils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/DispatchStub.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/Distance.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/DistributionTemplates.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/Distributions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/EmbeddingBag.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/Fill.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/ForeachUtils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/FractionalMaxPooling.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/FunctionOfAMatrixUtils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/GridSampler.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/GridSamplerUtils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/Histogram.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/IndexKernel.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/IndexingUtils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/Lerp.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/LinearAlgebra.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/LinearAlgebraUtils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/LossMulti.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/Math.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/MathBitFallThroughLists.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/MathBitsFallback.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/MaxPooling.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/NonEmptyUtils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/NonSymbolicBC.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/Normalization.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/PointwiseOps.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/Pool.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/Pow.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/RNN.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/RangeFactories.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/ReduceAllOps.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/ReduceOps.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/ReduceOpsUtils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/ReductionType.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/Repeat.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/Resize.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/ResizeCommon.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/ScatterGatherChecks.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/SegmentReduce.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/SharedReduceOps.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/SobolEngineOpsUtils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/Sorting.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/SortingUtils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/SpectralOpsUtils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/StridedRandomAccessor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/TensorAdvancedIndexing.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/TensorAdvancedIndexingUtils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/TensorCompare.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/TensorConversions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/TensorDimApply.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/TensorFactories.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/TensorIterator.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/TensorIteratorDynamicCasting.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/TensorProperties.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/TensorShape.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/TensorTransformations.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/TopKImpl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/TransposeType.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/TriangularOpsUtils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/TypeProperties.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/UnaryOps.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/Unfold2d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/Unfold3d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/UnfoldBackward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/UpSample.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/batch_norm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/group_norm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/im2col.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/im2col_shape_check.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/layer_norm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/verbose_wrapper.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/vol2col.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu/AtomicAddFloat.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu/CatKernel.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu/ChannelShuffleKernel.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu/CopyKernel.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu/DepthwiseConvKernel.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu/DistributionTemplates.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu/GridSamplerKernel.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu/IndexKernelUtils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu/Intrinsics.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu/IsContiguous.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu/Loops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu/MaxUnpoolKernel.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu/PixelShuffleKernel.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu/Reduce.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu/ReduceUtils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu/SampledAddmmKernel.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu/SerialStackImpl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu/SoftmaxKernel.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu/SpmmReduceKernel.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu/StackKernel.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu/UpSampleKernelAVXAntialias.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu/WeightNormKernel.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu/avx_mathfun.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu/mixed_data_type.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu/moments_utils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu/radix_sort.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu/utils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu/zmath.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cpu creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/Activation.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/BinaryInternal.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/CompositeRandomAccessor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/Copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/CuFFTPlanCache.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/CuFFTUtils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/DistributionTemplates.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/Distributions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/GridSampler.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/IndexKernel.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/LaunchUtils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/MiscUtils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/ReduceOps.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/Resize.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/ScanKernels.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/Sort.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/SortStable.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/Sorting.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/TensorModeKernel.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/TensorTopK.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/jit_utils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/thread_constants.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/CUDAJitLoops.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/CUDALoops.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/DeviceSqrt.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/EmbeddingBackwardKernel.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/ForeachFunctors.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/ForeachMinMaxFunctors.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/GridSampler.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/JitLoops.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/KernelUtils.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/Loops.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/Math.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/MemoryAccess.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/MultiTensorApply.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/Normalization.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/PersistentSoftmax.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/Pow.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/ROCmLoops.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/Randperm.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/Reduce.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/ScanUtils.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/SortUtils.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/SortingCommon.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/SortingRadixSelect.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/TensorModeKernel.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/UniqueCub.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/UpSample.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/block_reduce.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/fused_adam_amsgrad_impl.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/fused_adam_impl.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/fused_adam_utils.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/fused_adamw_amsgrad_impl.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/fused_adamw_impl.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/im2col.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/reduction_template.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/vol2col.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/quantized copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized/AffineQuantizer.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/quantized copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized/AffineQuantizerBase.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/quantized copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized/Copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/quantized copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized/FakeQuantAffine.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/quantized copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized/IndexKernel.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/quantized copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized/PackedParams.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/quantized creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/quantized/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized/cpu/BinaryOps.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/quantized/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized/cpu/EmbeddingPackedParams.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/quantized/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized/cpu/OnednnUtils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/quantized/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized/cpu/QnnpackUtils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/quantized/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized/cpu/QuantUtils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/quantized/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized/cpu/QuantizedOps.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/quantized/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized/cpu/RuyUtils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/quantized/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized/cpu/XnnpackUtils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/quantized/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized/cpu/conv_serialization.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/quantized/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized/cpu/fbgemm_utils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/quantized/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized/cpu/init_qnnpack.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/quantized/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized/cpu/qembeddingbag.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/quantized/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized/cpu/qembeddingbag_prepack.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/quantized/cpu creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/quantized copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/quantized/QTensorImpl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/quantized copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/quantized/Quantizer.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/quantized creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/caffe2 creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/caffe2/serialize copying build/lib.linux-x86_64-cpython-310/torch/include/caffe2/serialize/istream_adapter.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/caffe2/serialize copying build/lib.linux-x86_64-cpython-310/torch/include/caffe2/serialize/versions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/caffe2/serialize copying build/lib.linux-x86_64-cpython-310/torch/include/caffe2/serialize/in_memory_adapter.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/caffe2/serialize copying build/lib.linux-x86_64-cpython-310/torch/include/caffe2/serialize/file_adapter.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/caffe2/serialize copying build/lib.linux-x86_64-cpython-310/torch/include/caffe2/serialize/inline_container.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/caffe2/serialize copying build/lib.linux-x86_64-cpython-310/torch/include/caffe2/serialize/crc_alt.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/caffe2/serialize copying build/lib.linux-x86_64-cpython-310/torch/include/caffe2/serialize/read_adapter_interface.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/caffe2/serialize creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10 creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/macros copying build/lib.linux-x86_64-cpython-310/torch/include/c10/macros/Export.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/macros copying build/lib.linux-x86_64-cpython-310/torch/include/c10/macros/Macros.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/macros copying build/lib.linux-x86_64-cpython-310/torch/include/c10/macros/cmake_macros.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/macros creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/SymIntArrayRef.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/CopyBytes.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/TensorOptions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/DefaultDtype.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/MemoryFormat.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/OptionalRef.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/Stream.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/Device.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/StorageImpl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/thread_pool.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/Layout.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/alignment.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/SymFloat.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/Storage.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/WrapDimMinimal.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/CompileTimeFunctionPointer.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/ScalarType.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/DefaultTensorOptions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/DeviceType.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/Event.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/DynamicCast.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/DispatchKeySet.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/StreamGuard.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/DeviceGuard.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/SymNodeImpl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/ScalarTypeToTypeMeta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/DeviceArray.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/Allocator.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/GeneratorImpl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/SymBool.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/TensorImpl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/Backend.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/QScheme.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/DispatchKey.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/SymInt.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/UndefinedTensorImpl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/SafePyObject.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/AutogradState.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/QEngine.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/CPUAllocator.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/GradMode.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/Scalar.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/PyHandleCache.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/InferenceMode.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core/impl copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/impl/DeviceGuardImplInterface.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core/impl copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/impl/GPUTrace.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core/impl copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/impl/InlineEvent.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core/impl copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/impl/PythonDispatcherTLS.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core/impl copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/impl/PyInterpreter.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core/impl copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/impl/LocalDispatchKeySet.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core/impl copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/impl/VirtualGuardImpl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core/impl copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/impl/HermeticPyObjectTLS.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core/impl copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/impl/TorchDispatchModeTLS.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core/impl copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/impl/PyObjectSlot.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core/impl copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/impl/FakeGuardImpl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core/impl copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/impl/alloc_cpu.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core/impl copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/impl/InlineDeviceGuard.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core/impl copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/impl/SizesAndStrides.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core/impl copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/impl/InlineStreamGuard.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core/impl creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/quint2x4.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/either.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/ScopeExit.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/Registry.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/Deprecated.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/BFloat16-math.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/tempfile.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/complex_utils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/Type.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/complex.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/safe_numerics.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/ArrayRef.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/qint8.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/LeftRight.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/ExclusivelyOwned.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/FunctionRef.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/Load.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/Optional.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/IdWrapper.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/math_compat.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/Half.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/win32-headers.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/numa.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/SmallBuffer.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/strides.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/BFloat16.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/C++17.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/quint8.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/Half-inl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/thread_name.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/variant.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/Flags.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/sparse_bitset.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/order_preserving_flat_hash_map.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/llvmMathExtras.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/Unicode.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/complex_math.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/flat_hash_map.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/accumulate.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/overloaded.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/Metaprogramming.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/python_stub.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/ConstexprCrc.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/TypeList.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/TypeTraits.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/irange.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/Bitset.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/MathConstants.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/logging_is_not_google_glog.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/BFloat16-inl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/MaybeOwned.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/env.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/Backtrace.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/int128.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/Array.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/ThreadLocalDebugInfo.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/quint4x2.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/StringUtil.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/typeid.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/string_utils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/ExclusivelyOwnedTensorTraits.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/Unroll.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/Logging.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/hash.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/copysign.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/TypeCast.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/TypeSafeSignMath.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/logging_is_google_glog.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/qint32.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/OptionalArrayRef.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/TypeIndex.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/strong_type.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/in_place.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/reverse_iterator.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/string_view.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/ThreadLocal.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/DeadlockDetection.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/CallOnce.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/Exception.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/DimVector.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/signal_handler.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/intrusive_ptr.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/AlignOf.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/SmallVector.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/Synchronized.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/UniqueVoidPtr.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/c10/cuda/CUDACachingAllocator.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/c10/cuda/CUDADeviceAssertionHost.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/c10/cuda/CUDAException.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/c10/cuda/CUDAFunctions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/c10/cuda/CUDAGuard.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/c10/cuda/CUDAMacros.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/c10/cuda/CUDAMathCompat.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/c10/cuda/CUDAMiscFunctions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/c10/cuda/CUDAStream.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/c10/cuda/CUDADeviceAssertion.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/c10/cuda/CUDAGraphsC10Utils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/c10/cuda/CUDAAlgorithm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/cuda creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/cuda/impl copying build/lib.linux-x86_64-cpython-310/torch/include/c10/cuda/impl/CUDAGuardImpl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/cuda/impl copying build/lib.linux-x86_64-cpython-310/torch/include/c10/cuda/impl/CUDATest.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/cuda/impl copying build/lib.linux-x86_64-cpython-310/torch/include/c10/cuda/impl/cuda_cmake_macros.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/cuda/impl creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch copying build/lib.linux-x86_64-cpython-310/torch/include/torch/custom_class.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch copying build/lib.linux-x86_64-cpython-310/torch/include/torch/custom_class_detail.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch copying build/lib.linux-x86_64-cpython-310/torch/include/torch/library.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch copying build/lib.linux-x86_64-cpython-310/torch/include/torch/script.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch copying build/lib.linux-x86_64-cpython-310/torch/include/torch/extension.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/Export.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/Dtype.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/MemoryFormat.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/PyInterpreter.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/Stream.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/Device.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/python_headers.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/Layout.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/Size.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/Types.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/Storage.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/serialization.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/python_dimname.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/Exceptions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/CudaIPCTypes.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/THP.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/StorageSharing.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/itt_wrapper.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/DataLoader.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/copy_utils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/Generator.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/QScheme.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/DynamicTypes.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/TypeInfo.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/StorageMethods.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/THConcat.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/PythonTypes.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/Module.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/all.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/ordered_dict.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/linalg.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/imethod.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/special.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/expanding_array.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/serialize.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/fft.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/utils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/types.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/python.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/enum.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/jit.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nested.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/arg.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/optim.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/cuda.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/autograd.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/torch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/sparse.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/version.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/samplers.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/transforms.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/iterator.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/datasets.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/worker_exception.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/example.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/dataloader.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/dataloader/stateless.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/datasets copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/datasets/tensor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/datasets copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/datasets/mnist.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/datasets copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/datasets/chunk.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/datasets copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/datasets/shared.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/datasets copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/datasets/map.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/datasets copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/datasets/stateful.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/datasets copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/datasets/base.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/datasets creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/detail copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/detail/data_shuttle.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/detail copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/detail/queue.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/detail copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/detail/sequencers.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/detail creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/samplers copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/samplers/custom_batch_request.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/samplers copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/samplers/random.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/samplers copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/samplers/serialize.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/samplers copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/samplers/stream.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/samplers copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/samplers/sequential.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/samplers copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/samplers/distributed.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/samplers copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/samplers/base.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/samplers creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/transforms copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/transforms/lambda.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/transforms copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/transforms/tensor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/transforms copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/transforms/stack.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/transforms copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/transforms/collate.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/transforms copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/transforms/base.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/transforms creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/detail copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/detail/static.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/detail copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/detail/TensorDataContainer.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/detail creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/functional.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/utils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/init.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/cloneable.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/pimpl-inl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/module.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/pimpl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/functional copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/functional/batchnorm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/functional copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/functional/pooling.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/functional copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/functional/instancenorm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/functional copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/functional/conv.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/functional copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/functional/pixelshuffle.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/functional copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/functional/vision.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/functional copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/functional/linear.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/functional copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/functional/padding.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/functional copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/functional/dropout.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/functional copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/functional/embedding.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/functional copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/functional/normalization.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/functional copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/functional/upsampling.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/functional copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/functional/fold.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/functional copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/functional/loss.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/functional copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/functional/distance.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/functional copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/functional/activation.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/functional creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/options copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options/batchnorm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/options copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options/pooling.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/options copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options/instancenorm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/options copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options/conv.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/options copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options/pixelshuffle.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/options copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options/vision.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/options copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options/transformerlayer.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/options copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options/linear.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/options copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options/padding.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/options copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options/dropout.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/options copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options/embedding.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/options copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options/normalization.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/options copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options/transformer.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/options copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options/upsampling.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/options copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options/fold.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/options copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options/loss.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/options copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options/adaptive.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/options copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options/transformercoder.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/options copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options/distance.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/options copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options/rnn.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/options copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options/activation.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/options creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/batchnorm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/pooling.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/instancenorm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/conv.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/pixelshuffle.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/common.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/transformerlayer.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/linear.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/padding.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/dropout.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/utils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/embedding.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/normalization.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/transformer.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/upsampling.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/fold.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/loss.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/adaptive.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/_functions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/transformercoder.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/distance.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/rnn.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/activation.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules/container copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/container/any.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules/container copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/container/parameterlist.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules/container copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/container/moduledict.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules/container copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/container/named_any.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules/container copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/container/parameterdict.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules/container copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/container/modulelist.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules/container copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/container/functional.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules/container copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/container/any_module_holder.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules/container copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/container/sequential.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules/container copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/container/any_value.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules/container creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/parallel copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/parallel/data_parallel.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/parallel creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/utils/convert_parameters.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/utils/clip_grad.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/utils/rnn.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/utils creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/optim/sgd.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/optim/optimizer.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/optim/adagrad.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/optim/serialize.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/optim/adam.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/optim/lbfgs.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/optim/adamw.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/optim/rmsprop.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/optim creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/optim/schedulers copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/optim/schedulers/lr_scheduler.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/optim/schedulers copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/optim/schedulers/step_lr.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/optim/schedulers creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/serialize copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/serialize/tensor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/serialize copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/serialize/output-archive.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/serialize copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/serialize/input-archive.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/serialize copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/serialize/archive.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/serialize creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/python_cpp_function.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/graph_task.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/autograd_not_implemented_fallback.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/profiler_legacy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/edge.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/profiler.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/python_saved_variable_hooks.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/python_return_types.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/VariableTypeUtils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/python_sparse_functions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/python_legacy_variable.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/saved_variable.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/saved_variable_hooks.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/cpp_hook.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/python_linalg_functions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/function.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/python_nested_functions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/variable.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/python_nn_functions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/python_anomaly_mode.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/jit_decomp_interface.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/input_metadata.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/python_function.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/function_hook.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/python_enum_tag.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/anomaly_mode.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/symbolic.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/python_torch_functions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/profiler_python.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/python_variable_indexing.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/python_special_functions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/input_buffer.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/python_hook.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/engine.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/profiler_kineto.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/record_function_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/python_autograd.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/forward_grad.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/python_engine.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/grad_mode.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/python_variable.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/FunctionsManual.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/autograd.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/custom_function.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/python_fft_functions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/InferenceMode.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd/functions copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/functions/basic_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd/functions copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/functions/tensor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd/functions copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/functions/utils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd/functions copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/functions/pybind.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd/functions copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/functions/accumulate_grad.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd/functions copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/functions/comm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd/functions creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd/generated copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/generated/python_functions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd/generated copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/generated/VariableType.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd/generated copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/generated/Functions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd/generated copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/generated/variable_factories.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd/generated creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/utils/python_arg_parsing.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/utils/wrap_outputs.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/utils/warnings.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/utils/error_messages.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/utils/lambda_post_hook.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/utils/grad_layout_contract.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd/utils creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/cuda/Stream.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/cuda/python_comm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/cuda/THCP.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/cuda/device_set.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/cuda/python_nccl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/cuda/nccl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/cuda/Event.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/cuda/memory_snapshot.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/cuda/comm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/cuda/CUDAPluggableAllocator.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/cuda/Module.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/cuda creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d/logging.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d/TraceUtils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d/debug.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d/python_comm_hook.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d/error.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d/exception.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d/c10d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d/socket.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d/ProcessGroupUCC.hpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d/TCPStore.hpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d/UCCUtils.hpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d/logger.hpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d/WinSockUtils.hpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d/default_comm_hooks.hpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d/NCCLUtils.hpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d/ProcessGroupGloo.hpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d/Utils.hpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d/comm.hpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d/ProcessGroupMPI.hpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d/PrefixStore.hpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d/GlooDeviceFactory.hpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d/reducer.hpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d/sequence_num.hpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d/ProcessGroupWrapper.hpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d/UCCTracing.hpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d/UnixSockUtils.hpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d/ProcessGroupRoundRobin.hpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d/Store.hpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d/FileStore.hpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d/UCCForNCCL.hpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d/reducer_timer.hpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d/ProcessGroup.hpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d/ProcessGroupNCCL.hpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d/PyProcessGroup.hpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d/Backend.hpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d/Work.hpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d/ParamCommsUtils.hpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d/HashStore.hpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d/Types.hpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc/torchscript_functions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc/request_callback.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc/unpickled_python_call.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc/script_call.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc/tensorpipe_utils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc/message.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc/request_callback_no_python.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc/python_resp.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc/rref_context.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc/script_remote_call.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc/py_rref.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc/utils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc/types.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc/tensorpipe_agent.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc/python_call.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc/rref_proto.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc/request_callback_impl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc/rpc_agent.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc/rref_impl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc/agent_utils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc/unpickled_python_remote_call.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc/rpc.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc/rpc_command_base.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc/python_rpc_handler.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc/python_functions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc/python_remote_call.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc/script_resp.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/rpc creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/resource_guard.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/jit_log.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/jit_opt_limit.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/backends copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/backends/backend_resolver.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/backends copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/backends/backend_interface.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/backends copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/backends/backend.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/backends copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/backends/backend_debug_handler.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/backends copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/backends/backend_preprocess.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/backends copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/backends/backend_init.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/backends copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/backends/backend_debug_info.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/backends copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/backends/backend_exception.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/backends copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/backends/backend_detail.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/backends creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/frozen_graph_optimizations.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/decompose_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/clear_undefinedness.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/batch_mm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/fold_conv_bn.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/canonicalize.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/vulkan_rewrite.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/lower_graph.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/requires_grad_analysis.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/check_strict_fusion.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/metal_rewrite.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/graph_fuser.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/annotate_warns.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/symbolic_shape_analysis.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/remove_expands.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/constant_pooling.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/shape_analysis.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/loop_unrolling.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/refine_tuple_types.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/value_refinement_utils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/bailout_graph.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/frozen_concat_linear.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/mobile_optimizer_type.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/pass_manager.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/eliminate_no_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/guard_elimination.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/hoist_conv_packed_params.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/fuse_relu.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/remove_mutation.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/erase_number_types.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/variadic_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/clear_profiling.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/canonicalize_graph_fuser_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/common_subexpression_elimination.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/create_functional_graphs.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/lift_closures.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/prepack_folding.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/peephole_non_tensor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/inplace_check.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/normalize_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/autocast.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/symbolic_shape_cache.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/freeze_module.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/inline_fork_wait.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/remove_exceptions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/symbolic_shape_runtime_fusion.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/peephole_list_idioms.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/xnnpack_rewrite.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/restore_mutation.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/frozen_linear_transpose.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/specialize_autogradzero.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/lower_tuples.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/inline_autodiff_subgraphs.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/graph_rewrite_helper.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/remove_dropout.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/peephole.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/device_type_analysis.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/fixup_trace_scope_blocks.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/remove_redundant_profiles.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/fold_linear_bn.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/dtype_analysis.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/liveness.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/update_differentiable_graph_requires_grad.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/onnx.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/frozen_ops_to_mkldnn.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/dead_code_elimination.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/frozen_linear_folding.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/onednn_graph_fuser.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/constant_propagation.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/replacement_of_old_operators.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/insert_guards.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/mkldnn_rewrite.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/create_autodiff_subgraphs.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/peephole_dict_idioms.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/concat_opt.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/inline_forked_closures.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/lower_grad_of.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/integer_value_refinement.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/tensorexpr_fuser.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/add_if_then_else.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/inliner.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/fuse_linear.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/remove_inplace_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/cuda_graph_fuser.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/frozen_conv_add_relu_fusion.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/frozen_conv_folding.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/peephole_alias_sensitive.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/subgraph_rewrite.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes/quantization copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/quantization/helper.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes/quantization copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/quantization/quantization_type.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes/quantization copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/quantization/dedup_module_uses.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes/quantization copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/quantization/quantization_patterns.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes/quantization copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/quantization/fusion_passes.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes/quantization copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/quantization/insert_quant_dequant.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes/quantization copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/quantization/insert_observers.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes/quantization copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/quantization/register_packed_params.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes/quantization copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/quantization/finalize.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes/quantization creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/utils/subgraph_utils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/utils/optimization_utils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/utils/check_alias_annotation.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/utils/op_registry.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/utils/memory_dag.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes/utils creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/runtime copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime/logging.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/runtime copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime/graph_iterator.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/runtime copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime/script_profile.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/runtime copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime/decomposition_registry.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/runtime copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime/decomposition_registry_util.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/runtime copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime/symbolic_shape_registry_util.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/runtime copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime/argument_spec.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/runtime copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime/register_ops_utils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/runtime copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime/variable_tensor_list.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/runtime copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime/custom_operator.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/runtime copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime/profiling_graph_executor_impl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/runtime copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime/serialized_shape_function_registry.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/runtime copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime/vararg_functions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/runtime copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime/graph_executor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/runtime copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime/operator_options.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/runtime copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime/interpreter.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/runtime copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime/autodiff.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/runtime copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime/exception_message.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/runtime copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime/jit_exception.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/runtime copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime/operator.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/runtime copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime/print_handler.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/runtime copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime/shape_function_registry.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/runtime copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime/calculate_necessary_args.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/runtime copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime/graph_executor_impl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/runtime copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime/profiling_record.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/runtime copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime/symbolic_script.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/runtime copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime/instruction.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/runtime copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime/jit_trace.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/runtime copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime/simple_graph_executor_impl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/runtime copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime/slice_indices_adjust.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/runtime copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime/symbolic_shape_registry.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/runtime creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/ir copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/ir/alias_analysis.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/ir copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/ir/constants.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/ir copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/ir/scope.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/ir copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/ir/subgraph_matcher.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/ir copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/ir/ir_views.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/ir copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/ir/attributes.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/ir copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/ir/graph_utils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/ir copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/ir/node_hashing.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/ir copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/ir/named_value.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/ir copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/ir/irparser.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/ir copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/ir/graph_node_list.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/ir copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/ir/type_hashing.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/ir copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/ir/ir.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/ir creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/frontend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend/source_range.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/frontend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend/lexer.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/frontend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend/strtod.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/frontend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend/parser_constants.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/frontend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend/function_schema_parser.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/frontend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend/parse_string_literal.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/frontend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend/schema_type_parser.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/frontend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend/error_report.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/frontend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend/tree.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/frontend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend/versioned_symbols.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/frontend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend/canonicalize_modified_loop.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/frontend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend/concrete_module_type.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/frontend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend/schema_matching.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/frontend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend/inline_loop_condition.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/frontend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend/script_type_parser.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/frontend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend/tracer.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/frontend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend/sugared_value.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/frontend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend/tree_views.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/frontend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend/resolver.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/frontend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend/edit_distance.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/frontend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend/exit_transforms.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/frontend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend/convert_to_ssa.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/frontend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend/name_mangler.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/frontend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend/ir_emitter.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/frontend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend/mini_environment.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/frontend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend/builtin_functions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/frontend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend/parser.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/frontend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend/source_ref.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/frontend creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/api copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/api/object.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/api copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/api/method.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/api copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/api/module.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/api copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/api/compilation_unit.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/api copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/api/function_impl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/api creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/serialization copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization/callstack_debug_info_serialization.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/serialization copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization/source_range_serialization.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/serialization copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization/mobile_bytecode_generated.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/serialization copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization/source_range_serialization_impl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/serialization copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization/import.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/serialization copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization/import_export_constants.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/serialization copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization/import_read.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/serialization copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization/python_print.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/serialization copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization/flatbuffer_serializer.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/serialization copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization/pickle.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/serialization copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization/import_legacy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/serialization copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization/import_source.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/serialization copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization/flatbuffer_serializer_jit.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/serialization copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization/import_export_functions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/serialization copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization/storage_context.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/serialization copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization/import_export_helpers.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/serialization copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization/type_name_uniquer.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/serialization copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization/onnx.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/serialization copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization/unpickler.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/serialization copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization/export.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/serialization copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization/export_bytecode.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/serialization copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization/pickler.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/serialization creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/python copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/python/python_sugared_value.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/python copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/python/python_arg_flatten.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/python copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/python/script_init.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/python copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/python/python_tracer.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/python copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/python/module_python.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/python copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/python/python_custom_class.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/python copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/python/python_ir.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/python copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/python/python_dict.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/python copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/python/pybind.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/python copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/python/init.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/python copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/python/pybind_utils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/python copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/python/update_graph_executor_opt.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/python copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/python/python_tree_views.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/python copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/python/python_ivalue.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/python copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/python/python_list.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/python creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/mobile copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile/quantization.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/mobile copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile/prim_ops_registery.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/mobile copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile/import.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/mobile copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile/debug_info.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/mobile copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile/function.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/mobile copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile/type_parser.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/mobile copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile/observer.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/mobile copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile/flatbuffer_loader.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/mobile copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile/register_ops_common_utils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/mobile copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile/parse_operators.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/mobile copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile/parse_bytecode.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/mobile copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile/interpreter.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/mobile copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile/promoted_prim_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/mobile copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile/method.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/mobile copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile/profiler_edge.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/mobile copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile/import_export_common.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/mobile copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile/file_format.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/mobile copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile/code.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/mobile copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile/frame.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/mobile copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile/upgrader_mobile.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/mobile copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile/module.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/mobile copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile/import_data.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/mobile creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/testing copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/testing/file_check.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/testing copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/testing/hooks_for_testing.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/testing creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/hash_provider.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/lowerings.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/ir_verifier.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/analysis.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/llvm_codegen.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/tensor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/external_functions_registry.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/bounds_inference.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/eval.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/bounds_overlap.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/cpp_intrinsics.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/half_support.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/fwd_decls.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/ir_simplifier.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/expr.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/cuda_codegen.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/intrinsic_symbols.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/llvm_jit.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/types.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/mem_dependency_checker.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/tensorexpr_init.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/ir_cloner.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/reduction.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/block_codegen.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/stmt.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/ir_visitor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/kernel.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/cpp_codegen.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/codegen.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/loopnest.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/external_functions_core.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/cuda_random.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/graph_opt.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/var_substitutor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/exceptions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/loopnest_randomization.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/unique_name_manager.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/external_functions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/ir_mutator.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/ir_printer.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/ir.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/registerizer.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr/operators copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/operators/quantization.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr/operators copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/operators/operators.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr/operators copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/operators/matmul.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr/operators copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/operators/norm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr/operators copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/operators/reduction.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr/operators copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/operators/misc.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr/operators copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/operators/pointwise.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr/operators copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/operators/softmax.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr/operators copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/operators/conv2d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr/operators creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/codegen creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/codegen/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/codegen/cuda/interface.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/codegen/cuda creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/onnx copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/onnx/init.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/onnx copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/onnx/onnx.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/onnx creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/profiler copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/profiler/perf.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/profiler copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/profiler/util.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/profiler copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/profiler/collection.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/profiler copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/profiler/data_flow.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/profiler copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/profiler/kineto_shim.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/profiler copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/profiler/events.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/profiler copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/profiler/perf-inl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/profiler copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/profiler/api.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/profiler copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/profiler/containers.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/profiler creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/profiler/orchestration copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/profiler/orchestration/vulkan.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/profiler/orchestration copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/profiler/orchestration/python_tracer.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/profiler/orchestration copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/profiler/orchestration/observer.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/profiler/orchestration creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/profiler/stubs copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/profiler/stubs/base.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/profiler/stubs creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/memory.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/invalid_arguments.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/byte_order.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/tensor_new.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/torch_dispatch_mode.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/python_strings.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/auto_gil.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/python_compat.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/tensor_types.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/tensor_memoryformats.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/python_tuples.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/tensor_flatten.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/python_arg_parser.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/disable_torch_function.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/variadic.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/numpy_stub.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/cpp_stacktraces.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/pythoncapi_compat.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/cuda_enabled.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/python_torch_function_mode.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/pycfunction_helpers.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/pybind.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/init.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/tensor_apply.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/python_stub.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/throughput_benchmark-inl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/python_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/throughput_benchmark.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/nested.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/tensor_qschemes.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/tensor_numpy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/cuda_lazy_init.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/python_numbers.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/python_symnode.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/tensor_layouts.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/object_ptr.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/tensor_dtypes.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/tensor_list.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/six.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/structseq.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/schema_info.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/out_types.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/python_scalars.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/tensor copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/tensor/python_tensor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/tensor creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/backend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/backend/backend_device.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/backend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/backend/backend_interface.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/backend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/backend/lowering_context.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/backend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/backend/backend_data.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/backend creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/core copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core/ir_builder.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/core copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core/util.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/core copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core/tensor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/core copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core/dynamic_ir.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/core copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core/unique.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/core copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core/ir_util.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/core copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core/thread_pool.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/core copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core/permutation_util.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/core copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core/lazy_graph_executor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/core copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core/multi_wait.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/core copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core/ir_dump_util.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/core copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core/shape.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/core copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core/cache.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/core copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core/trie.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/core copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core/hash.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/core copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core/debug_util.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/core copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core/ir_metadata.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/core copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core/shape_inference.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/core copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core/tensor_util.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/core copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core/config.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/core copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core/tensor_impl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/core copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core/helpers.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/core copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core/metrics.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/core copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core/ir.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/core creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/core/internal_ops copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core/internal_ops/ltc_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/core/internal_ops creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/core/ops copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core/ops/arithmetic_ir_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/core/ops copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core/ops/utils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/core/ops creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/ts_backend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/ts_backend/ts_autograd_functions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/ts_backend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/ts_backend/ir_builder.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/ts_backend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/ts_backend/dynamic_ir.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/ts_backend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/ts_backend/ts_node.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/ts_backend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/ts_backend/ts_node_lowering.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/ts_backend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/ts_backend/ts_eager_fallback.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/ts_backend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/ts_backend/tensor_aten_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/ts_backend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/ts_backend/ts_backend_impl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/ts_backend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/ts_backend/ts_lowering_context.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/ts_backend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/ts_backend/config.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/ts_backend creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/pybind11 copying build/lib.linux-x86_64-cpython-310/torch/include/pybind11/eigen.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/pybind11 copying build/lib.linux-x86_64-cpython-310/torch/include/pybind11/complex.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/pybind11 copying build/lib.linux-x86_64-cpython-310/torch/include/pybind11/operators.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/pybind11 copying build/lib.linux-x86_64-cpython-310/torch/include/pybind11/cast.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/pybind11 copying build/lib.linux-x86_64-cpython-310/torch/include/pybind11/buffer_info.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/pybind11 copying build/lib.linux-x86_64-cpython-310/torch/include/pybind11/functional.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/pybind11 copying build/lib.linux-x86_64-cpython-310/torch/include/pybind11/eval.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/pybind11 copying build/lib.linux-x86_64-cpython-310/torch/include/pybind11/common.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/pybind11 copying build/lib.linux-x86_64-cpython-310/torch/include/pybind11/stl_bind.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/pybind11 copying build/lib.linux-x86_64-cpython-310/torch/include/pybind11/options.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/pybind11 copying build/lib.linux-x86_64-cpython-310/torch/include/pybind11/iostream.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/pybind11 copying build/lib.linux-x86_64-cpython-310/torch/include/pybind11/stl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/pybind11 copying build/lib.linux-x86_64-cpython-310/torch/include/pybind11/attr.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/pybind11 copying build/lib.linux-x86_64-cpython-310/torch/include/pybind11/chrono.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/pybind11 copying build/lib.linux-x86_64-cpython-310/torch/include/pybind11/pybind11.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/pybind11 copying build/lib.linux-x86_64-cpython-310/torch/include/pybind11/gil.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/pybind11 copying build/lib.linux-x86_64-cpython-310/torch/include/pybind11/pytypes.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/pybind11 copying build/lib.linux-x86_64-cpython-310/torch/include/pybind11/embed.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/pybind11 copying build/lib.linux-x86_64-cpython-310/torch/include/pybind11/numpy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/pybind11 creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/pybind11/detail copying build/lib.linux-x86_64-cpython-310/torch/include/pybind11/detail/common.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/pybind11/detail copying build/lib.linux-x86_64-cpython-310/torch/include/pybind11/detail/init.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/pybind11/detail copying build/lib.linux-x86_64-cpython-310/torch/include/pybind11/detail/typeid.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/pybind11/detail copying build/lib.linux-x86_64-cpython-310/torch/include/pybind11/detail/type_caster_base.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/pybind11/detail copying build/lib.linux-x86_64-cpython-310/torch/include/pybind11/detail/internals.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/pybind11/detail copying build/lib.linux-x86_64-cpython-310/torch/include/pybind11/detail/class.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/pybind11/detail copying build/lib.linux-x86_64-cpython-310/torch/include/pybind11/detail/descr.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/pybind11/detail creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/THC copying build/lib.linux-x86_64-cpython-310/torch/include/THC/THCAtomics.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/THC copying build/lib.linux-x86_64-cpython-310/torch/include/THC/THCDeviceUtils.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/THC creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/share creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/share/cmake creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/share/cmake/ATen copying build/lib.linux-x86_64-cpython-310/torch/share/cmake/ATen/ATenConfig.cmake -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/share/cmake/ATen creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/share/cmake/Caffe2 copying build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/Caffe2ConfigVersion.cmake -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/share/cmake/Caffe2 copying build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/Caffe2Config.cmake -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/share/cmake/Caffe2 copying build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/Caffe2Targets.cmake -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/share/cmake/Caffe2 copying build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/Caffe2Targets-release.cmake -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/share/cmake/Caffe2 creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/share/cmake/Caffe2/public copying build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/public/cuda.cmake -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/share/cmake/Caffe2/public copying build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/public/glog.cmake -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/share/cmake/Caffe2/public copying build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/public/gflags.cmake -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/share/cmake/Caffe2/public copying build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/public/mkl.cmake -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/share/cmake/Caffe2/public copying build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/public/mkldnn.cmake -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/share/cmake/Caffe2/public copying build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/public/protobuf.cmake -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/share/cmake/Caffe2/public copying build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/public/utils.cmake -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/share/cmake/Caffe2/public copying build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/public/LoadHIP.cmake -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/share/cmake/Caffe2/public creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/share/cmake/Caffe2/Modules_CUDA_fix copying build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/Modules_CUDA_fix/FindCUDA.cmake -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/share/cmake/Caffe2/Modules_CUDA_fix copying build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/Modules_CUDA_fix/FindCUDNN.cmake -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/share/cmake/Caffe2/Modules_CUDA_fix creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream copying build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/CMakeInitializeConfigs.cmake -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream copying build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindCUDA.cmake -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream copying build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindPackageMessage.cmake -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream copying build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindPackageHandleStandardArgs.cmake -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindCUDA copying build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindCUDA/run_nvcc.cmake -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindCUDA copying build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindCUDA/make2cmake.cmake -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindCUDA copying build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindCUDA/select_compute_arch.cmake -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindCUDA copying build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindCUDA/parse_cubin.cmake -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindCUDA creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/share/cmake/Tensorpipe copying build/lib.linux-x86_64-cpython-310/torch/share/cmake/Tensorpipe/TensorpipeTargets.cmake -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/share/cmake/Tensorpipe copying build/lib.linux-x86_64-cpython-310/torch/share/cmake/Tensorpipe/TensorpipeTargets-release.cmake -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/share/cmake/Tensorpipe creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/share/cmake/Torch copying build/lib.linux-x86_64-cpython-310/torch/share/cmake/Torch/TorchConfigVersion.cmake -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/share/cmake/Torch copying build/lib.linux-x86_64-cpython-310/torch/share/cmake/Torch/TorchConfig.cmake -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/share/cmake/Torch copying build/lib.linux-x86_64-cpython-310/torch/_C.cpython-310-x86_64-linux-gnu.so -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch copying build/lib.linux-x86_64-cpython-310/torch/_C_flatbuffer.cpython-310-x86_64-linux-gnu.so -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/nvfuser copying build/lib.linux-x86_64-cpython-310/nvfuser/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/nvfuser copying build/lib.linux-x86_64-cpython-310/nvfuser/_C.cpython-310-x86_64-linux-gnu.so -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/nvfuser creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen copying build/lib.linux-x86_64-cpython-310/torchgen/gen_backend_stubs.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen copying build/lib.linux-x86_64-cpython-310/torchgen/utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen copying build/lib.linux-x86_64-cpython-310/torchgen/native_function_generation.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen copying build/lib.linux-x86_64-cpython-310/torchgen/context.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen copying build/lib.linux-x86_64-cpython-310/torchgen/gen_vmap_plumbing.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen copying build/lib.linux-x86_64-cpython-310/torchgen/gen.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen copying build/lib.linux-x86_64-cpython-310/torchgen/code_template.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen copying build/lib.linux-x86_64-cpython-310/torchgen/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen copying build/lib.linux-x86_64-cpython-310/torchgen/local.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen copying build/lib.linux-x86_64-cpython-310/torchgen/model.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen copying build/lib.linux-x86_64-cpython-310/torchgen/gen_executorch.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen copying build/lib.linux-x86_64-cpython-310/torchgen/gen_lazy_tensor.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen copying build/lib.linux-x86_64-cpython-310/torchgen/gen_functionalization_type.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/selective_build copying build/lib.linux-x86_64-cpython-310/torchgen/selective_build/selector.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/selective_build copying build/lib.linux-x86_64-cpython-310/torchgen/selective_build/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/selective_build copying build/lib.linux-x86_64-cpython-310/torchgen/selective_build/operator.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/selective_build creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/dest copying build/lib.linux-x86_64-cpython-310/torchgen/dest/lazy_ts_lowering.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/dest copying build/lib.linux-x86_64-cpython-310/torchgen/dest/ufunc.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/dest copying build/lib.linux-x86_64-cpython-310/torchgen/dest/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/dest copying build/lib.linux-x86_64-cpython-310/torchgen/dest/native_functions.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/dest copying build/lib.linux-x86_64-cpython-310/torchgen/dest/register_dispatch_key.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/dest copying build/lib.linux-x86_64-cpython-310/torchgen/dest/lazy_ir.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/dest creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/api copying build/lib.linux-x86_64-cpython-310/torchgen/api/structured.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/api copying build/lib.linux-x86_64-cpython-310/torchgen/api/dispatcher.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/api copying build/lib.linux-x86_64-cpython-310/torchgen/api/functionalization.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/api copying build/lib.linux-x86_64-cpython-310/torchgen/api/native.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/api copying build/lib.linux-x86_64-cpython-310/torchgen/api/ufunc.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/api copying build/lib.linux-x86_64-cpython-310/torchgen/api/cpp.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/api copying build/lib.linux-x86_64-cpython-310/torchgen/api/autograd.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/api copying build/lib.linux-x86_64-cpython-310/torchgen/api/unboxing.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/api copying build/lib.linux-x86_64-cpython-310/torchgen/api/translate.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/api copying build/lib.linux-x86_64-cpython-310/torchgen/api/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/api copying build/lib.linux-x86_64-cpython-310/torchgen/api/python.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/api copying build/lib.linux-x86_64-cpython-310/torchgen/api/lazy.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/api copying build/lib.linux-x86_64-cpython-310/torchgen/api/meta.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/api creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/api/types copying build/lib.linux-x86_64-cpython-310/torchgen/api/types/types.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/api/types copying build/lib.linux-x86_64-cpython-310/torchgen/api/types/types_base.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/api/types copying build/lib.linux-x86_64-cpython-310/torchgen/api/types/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/api/types copying build/lib.linux-x86_64-cpython-310/torchgen/api/types/signatures.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/api/types creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/operator_versions copying build/lib.linux-x86_64-cpython-310/torchgen/operator_versions/gen_mobile_upgraders_constant.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/operator_versions copying build/lib.linux-x86_64-cpython-310/torchgen/operator_versions/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/operator_versions copying build/lib.linux-x86_64-cpython-310/torchgen/operator_versions/gen_mobile_upgraders.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/operator_versions creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/static_runtime copying build/lib.linux-x86_64-cpython-310/torchgen/static_runtime/gen_static_runtime_ops.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/static_runtime copying build/lib.linux-x86_64-cpython-310/torchgen/static_runtime/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/static_runtime copying build/lib.linux-x86_64-cpython-310/torchgen/static_runtime/generator.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/static_runtime copying build/lib.linux-x86_64-cpython-310/torchgen/static_runtime/config.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/static_runtime creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/executorch copying build/lib.linux-x86_64-cpython-310/torchgen/executorch/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/executorch creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/executorch/api copying build/lib.linux-x86_64-cpython-310/torchgen/executorch/api/et_cpp.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/executorch/api copying build/lib.linux-x86_64-cpython-310/torchgen/executorch/api/unboxing.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/executorch/api copying build/lib.linux-x86_64-cpython-310/torchgen/executorch/api/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/executorch/api copying build/lib.linux-x86_64-cpython-310/torchgen/executorch/api/custom_ops.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/executorch/api creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/executorch/api/types copying build/lib.linux-x86_64-cpython-310/torchgen/executorch/api/types/types.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/executorch/api/types copying build/lib.linux-x86_64-cpython-310/torchgen/executorch/api/types/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/executorch/api/types copying build/lib.linux-x86_64-cpython-310/torchgen/executorch/api/types/signatures.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/executorch/api/types creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/native copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/native/native_functions.yaml -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/native copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/native/tags.yaml -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/native creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates/DispatchKeyFunctions_inl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates/UfuncCUDA.cu -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates/Functions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates/RegisterDispatchDefinitions.ini -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates/LazyIr.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates/ATenOpList.cpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates/CompositeViewCopyKernels.cpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates/RedispatchFunctions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates/UfuncCPUKernel.cpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates/Operators.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates/MethodOperators.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates/RegistrationDeclarations.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates/RegisterCodegenUnboxedKernels.cpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates/TensorMethods.cpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates/DispatchKeyFunction.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates/Functions.cpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates/FunctionalInverses.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates/UfuncCPU.cpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates/NativeFunction.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates/NativeMetaFunctions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates/UnboxingFunctions.cpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates/Function.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates/NativeMetaFunction.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates/RegisterFunctionalization.cpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates/NativeFunctions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates/RegisterSchema.cpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates/RedispatchFunctions.cpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates/DispatchKeyNativeFunctions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates/DispatchKeyFunctions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates/LazyNonNativeIr.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates/enum_tag.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates/UnboxingFunctions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates/RegisterDispatchKey.cpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates/aten_interned_strings.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates/Operator.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates/TensorBody.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates/RegisterBackendSelect.cpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates/Operators.cpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates/DispatchKeyNativeFunctions.cpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/functorch copying build/lib.linux-x86_64-cpython-310/functorch/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/functorch creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/dim copying build/lib.linux-x86_64-cpython-310/functorch/dim/wrap_type.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/dim copying build/lib.linux-x86_64-cpython-310/functorch/dim/op_properties.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/dim copying build/lib.linux-x86_64-cpython-310/functorch/dim/reference.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/dim copying build/lib.linux-x86_64-cpython-310/functorch/dim/magic_trace.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/dim copying build/lib.linux-x86_64-cpython-310/functorch/dim/dim.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/dim copying build/lib.linux-x86_64-cpython-310/functorch/dim/delayed_mul_tensor.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/dim copying build/lib.linux-x86_64-cpython-310/functorch/dim/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/dim copying build/lib.linux-x86_64-cpython-310/functorch/dim/tree_map.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/dim copying build/lib.linux-x86_64-cpython-310/functorch/dim/batch_tensor.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/dim creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/experimental copying build/lib.linux-x86_64-cpython-310/functorch/experimental/_map.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/experimental copying build/lib.linux-x86_64-cpython-310/functorch/experimental/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/experimental copying build/lib.linux-x86_64-cpython-310/functorch/experimental/_cond.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/experimental copying build/lib.linux-x86_64-cpython-310/functorch/experimental/ops.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/experimental copying build/lib.linux-x86_64-cpython-310/functorch/experimental/control_flow.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/experimental creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/_src copying build/lib.linux-x86_64-cpython-310/functorch/_src/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/_src creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/_src/vmap copying build/lib.linux-x86_64-cpython-310/functorch/_src/vmap/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/_src/vmap creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/_src/make_functional copying build/lib.linux-x86_64-cpython-310/functorch/_src/make_functional/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/_src/make_functional creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/_src/aot_autograd copying build/lib.linux-x86_64-cpython-310/functorch/_src/aot_autograd/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/_src/aot_autograd creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/_src/eager_transforms copying build/lib.linux-x86_64-cpython-310/functorch/_src/eager_transforms/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/_src/eager_transforms creating /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/compile copying build/lib.linux-x86_64-cpython-310/functorch/compile/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/compile copying build/lib.linux-x86_64-cpython-310/functorch/_C.cpython-310-x86_64-linux-gnu.so -> /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/functorch byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/types.py to types.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_deploy.py to _deploy.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/hub.py to hub.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/storage.py to storage.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_sources.py to _sources.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_classes.py to _classes.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/torch_version.py to torch_version.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_lobpcg.py to _lobpcg.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_torch_docs.py to _torch_docs.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quasirandom.py to quasirandom.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/serialization.py to serialization.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_lowrank.py to _lowrank.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_weights_only_unpickler.py to _weights_only_unpickler.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/functional.py to functional.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/__future__.py to __future__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_VF.py to _VF.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/__config__.py to __config__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_utils.py to _utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/overrides.py to overrides.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_utils_internal.py to _utils_internal.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_meta_registrations.py to _meta_registrations.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_vmap_internals.py to _vmap_internals.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/library.py to library.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_storage_docs.py to _storage_docs.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_guards.py to _guards.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_ops.py to _ops.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_jit_internal.py to _jit_internal.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/return_types.py to return_types.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_appdirs.py to _appdirs.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_tensor_str.py to _tensor_str.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_tensor_docs.py to _tensor_docs.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_tensor.py to _tensor.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_linalg_utils.py to _linalg_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_namedtensor_internals.py to _namedtensor_internals.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/random.py to random.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_python_dispatcher.py to _python_dispatcher.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/version.py to version.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/lowering.py to lowering.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/utils.py to utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/mkldnn.py to mkldnn.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/fx_utils.py to fx_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/optimize_indexing.py to optimize_indexing.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/codecache.py to codecache.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/virtualized.py to virtualized.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/exc.py to exc.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/ir.py to ir.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/debug.py to debug.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/pattern_matcher.py to pattern_matcher.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/scheduler.py to scheduler.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/cuda_properties.py to cuda_properties.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/overrides.py to overrides.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/test_operators.py to test_operators.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/decomposition.py to decomposition.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/graph.py to graph.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/config.py to config.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/compile_fx.py to compile_fx.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/sizevars.py to sizevars.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/dependencies.py to dependencies.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/select_algorithm.py to select_algorithm.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/metrics.py to metrics.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/codegen/triton.py to triton.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/codegen/cpp.py to cpp.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/codegen/wrapper.py to wrapper.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/codegen/autotuner.py to autotuner.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/codegen/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/codegen/common.py to common.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/triton_ops/utils.py to utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/triton_ops/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/triton_ops/conv_perf_model.py to conv_perf_model.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/triton_ops/conv.py to conv.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/triton_ops/conv1x1.py to conv1x1.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/triton_ops/autotune.py to autotune.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/kernel/mm_plus_mm.py to mm_plus_mm.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/kernel/bmm.py to bmm.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/kernel/mm_common.py to mm_common.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/kernel/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/kernel/mm.py to mm.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/sparse/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/masked/_docs.py to _docs.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/masked/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/masked/_ops.py to _ops.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/masked/maskedtensor/reductions.py to reductions.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/masked/maskedtensor/core.py to core.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/masked/maskedtensor/unary.py to unary.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/masked/maskedtensor/_ops_refs.py to _ops_refs.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/masked/maskedtensor/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/masked/maskedtensor/creation.py to creation.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/masked/maskedtensor/passthrough.py to passthrough.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/masked/maskedtensor/binary.py to binary.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_prims_common/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_prims_common/wrappers.py to wrappers.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/func/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch/pytree_hacks.py to pytree_hacks.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch/functional_call.py to functional_call.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch/utils.py to utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch/python_key.py to python_key.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch/aot_autograd.py to aot_autograd.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch/benchmark_utils.py to benchmark_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch/compilers.py to compilers.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch/autograd_function.py to autograd_function.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch/make_functional.py to make_functional.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch/eager_transforms.py to eager_transforms.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch/config.py to config.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch/fx_minifier.py to fx_minifier.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch/pyfunctorch.py to pyfunctorch.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch/top_operators_github_usage.py to top_operators_github_usage.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch/partitioners.py to partitioners.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch/batch_norm_replacement.py to batch_norm_replacement.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch/deprecated.py to deprecated.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch/vmap.py to vmap.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch/compile_utils.py to compile_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/half_cauchy.py to half_cauchy.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/categorical.py to categorical.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/gumbel.py to gumbel.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/continuous_bernoulli.py to continuous_bernoulli.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/pareto.py to pareto.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/utils.py to utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/kl.py to kl.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/one_hot_categorical.py to one_hot_categorical.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/lowrank_multivariate_normal.py to lowrank_multivariate_normal.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/lkj_cholesky.py to lkj_cholesky.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/beta.py to beta.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/dirichlet.py to dirichlet.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/multinomial.py to multinomial.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/gamma.py to gamma.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/kumaraswamy.py to kumaraswamy.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/exponential.py to exponential.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/independent.py to independent.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/normal.py to normal.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/cauchy.py to cauchy.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/distribution.py to distribution.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/relaxed_categorical.py to relaxed_categorical.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/transforms.py to transforms.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/transformed_distribution.py to transformed_distribution.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/constraint_registry.py to constraint_registry.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/relaxed_bernoulli.py to relaxed_bernoulli.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/von_mises.py to von_mises.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/half_normal.py to half_normal.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/chi2.py to chi2.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/weibull.py to weibull.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/mixture_same_family.py to mixture_same_family.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/negative_binomial.py to negative_binomial.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/constraints.py to constraints.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/geometric.py to geometric.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/fishersnedecor.py to fishersnedecor.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/binomial.py to binomial.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/log_normal.py to log_normal.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/uniform.py to uniform.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/bernoulli.py to bernoulli.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/exp_family.py to exp_family.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/wishart.py to wishart.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/poisson.py to poisson.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/laplace.py to laplace.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/logistic_normal.py to logistic_normal.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/studentT.py to studentT.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/multivariate_normal.py to multivariate_normal.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_lazy/ts_backend.py to ts_backend.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_lazy/tensor_factory_functions.py to tensor_factory_functions.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_lazy/debug.py to debug.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_lazy/computation.py to computation.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_lazy/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_lazy/ir_cache.py to ir_cache.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_lazy/config.py to config.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_lazy/closure.py to closure.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_lazy/extract_compiled_graph.py to extract_compiled_graph.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_lazy/device_context.py to device_context.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_lazy/metrics.py to metrics.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dispatch/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dispatch/python.py to python.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/init.py to init.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/grad.py to grad.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/_reduction.py to _reduction.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/cpp.py to cpp.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/functional.py to functional.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/common_types.py to common_types.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/parameter.py to parameter.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/parallel/distributed.py to distributed.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/parallel/_replicated_tensor_ddp_utils.py to _replicated_tensor_ddp_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/parallel/scatter_gather.py to scatter_gather.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/parallel/_replicated_tensor_ddp_interop.py to _replicated_tensor_ddp_interop.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/parallel/replicate.py to replicate.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/parallel/parallel_apply.py to parallel_apply.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/parallel/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/parallel/_functions.py to _functions.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/parallel/data_parallel.py to data_parallel.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/parallel/comm.py to comm.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/backends/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/backends/thnn.py to thnn.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/qat/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/qat/modules/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/qat/modules/embedding_ops.py to embedding_ops.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/qat/modules/conv.py to conv.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/qat/modules/linear.py to linear.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/qat/dynamic/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/qat/dynamic/modules/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/qat/dynamic/modules/linear.py to linear.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules/pooling.py to pooling.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules/loss.py to loss.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules/instancenorm.py to instancenorm.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules/utils.py to utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules/distance.py to distance.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules/rnn.py to rnn.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules/sparse.py to sparse.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules/padding.py to padding.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules/module.py to module.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules/container.py to container.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules/dropout.py to dropout.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules/lazy.py to lazy.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules/flatten.py to flatten.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules/fold.py to fold.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules/normalization.py to normalization.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules/batchnorm.py to batchnorm.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules/_functions.py to _functions.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules/conv.py to conv.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules/transformer.py to transformer.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules/activation.py to activation.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules/adaptive.py to adaptive.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules/upsampling.py to upsampling.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules/linear.py to linear.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules/channelshuffle.py to channelshuffle.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules/pixelshuffle.py to pixelshuffle.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic/qat/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic/qat/modules/conv_fused.py to conv_fused.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic/qat/modules/linear_fused.py to linear_fused.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic/qat/modules/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic/qat/modules/linear_relu.py to linear_relu.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic/modules/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic/modules/fused.py to fused.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic/quantized/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic/quantized/modules/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic/quantized/modules/bn_relu.py to bn_relu.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic/quantized/modules/conv_relu.py to conv_relu.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic/quantized/modules/linear_relu.py to linear_relu.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic/quantized/dynamic/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic/quantized/dynamic/modules/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic/quantized/dynamic/modules/linear_relu.py to linear_relu.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils/init.py to init.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils/_named_member_accessor.py to _named_member_accessor.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils/parametrize.py to parametrize.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils/rnn.py to rnn.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils/fusion.py to fusion.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils/clip_grad.py to clip_grad.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils/weight_norm.py to weight_norm.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils/_per_sample_grad.py to _per_sample_grad.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils/_deprecation_utils.py to _deprecation_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils/stateless.py to stateless.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils/convert_parameters.py to convert_parameters.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils/memory_format.py to memory_format.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils/spectral_norm.py to spectral_norm.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils/parametrizations.py to parametrizations.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils/prune.py to prune.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils/_expanded_weights/conv_expanded_weights.py to conv_expanded_weights.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils/_expanded_weights/linear_expanded_weights.py to linear_expanded_weights.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils/_expanded_weights/embedding_expanded_weights.py to embedding_expanded_weights.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils/_expanded_weights/conv_utils.py to conv_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils/_expanded_weights/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils/_expanded_weights/expanded_weights_utils.py to expanded_weights_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils/_expanded_weights/group_norm_expanded_weights.py to group_norm_expanded_weights.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils/_expanded_weights/layer_norm_expanded_weights.py to layer_norm_expanded_weights.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils/_expanded_weights/instance_norm_expanded_weights.py to instance_norm_expanded_weights.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils/_expanded_weights/expanded_weights_impl.py to expanded_weights_impl.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/functional.py to functional.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/modules/functional_modules.py to functional_modules.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/modules/utils.py to utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/modules/rnn.py to rnn.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/modules/dropout.py to dropout.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/modules/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/modules/normalization.py to normalization.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/modules/batchnorm.py to batchnorm.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/modules/embedding_ops.py to embedding_ops.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/modules/conv.py to conv.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/modules/activation.py to activation.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/modules/linear.py to linear.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/_reference/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/_reference/modules/utils.py to utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/_reference/modules/rnn.py to rnn.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/_reference/modules/sparse.py to sparse.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/_reference/modules/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/_reference/modules/conv.py to conv.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/_reference/modules/linear.py to linear.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/dynamic/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/dynamic/modules/rnn.py to rnn.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/dynamic/modules/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/dynamic/modules/conv.py to conv.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/dynamic/modules/linear.py to linear.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantizable/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantizable/modules/rnn.py to rnn.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantizable/modules/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantizable/modules/activation.py to activation.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/contrib/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/contrib/_tensorboard_vis.py to _tensorboard_vis.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_refs/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_refs/_conversions.py to _conversions.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_refs/fft.py to fft.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_refs/nn/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_refs/nn/functional/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_refs/linalg/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_refs/special/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/sparse/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/sparse/quantized/utils.py to utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/sparse/quantized/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/sparse/quantized/linear.py to linear.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/sparse/quantized/dynamic/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/sparse/quantized/dynamic/linear.py to linear.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/qat/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/qat/modules/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/qat/modules/embedding_ops.py to embedding_ops.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/qat/modules/conv.py to conv.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/qat/modules/linear.py to linear.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/qat/dynamic/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/qat/dynamic/modules/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/qat/dynamic/modules/linear.py to linear.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/qat/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/qat/modules/conv_fused.py to conv_fused.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/qat/modules/linear_fused.py to linear_fused.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/qat/modules/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/qat/modules/linear_relu.py to linear_relu.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/modules/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/modules/fused.py to fused.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/conv_add.py to conv_add.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/bn_relu.py to bn_relu.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/conv_relu.py to conv_relu.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py to linear_relu.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/modules/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.py to linear_relu.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/functional.py to functional.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/modules/functional_modules.py to functional_modules.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/modules/utils.py to utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/modules/rnn.py to rnn.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/modules/dropout.py to dropout.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/modules/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/modules/normalization.py to normalization.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/modules/batchnorm.py to batchnorm.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py to embedding_ops.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py to conv.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/modules/activation.py to activation.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/modules/linear.py to linear.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/reference/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/reference/modules/utils.py to utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/reference/modules/rnn.py to rnn.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/reference/modules/sparse.py to sparse.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/reference/modules/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/reference/modules/conv.py to conv.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/reference/modules/linear.py to linear.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/dynamic/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py to rnn.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py to conv.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/linear.py to linear.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantizable/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantizable/modules/rnn.py to rnn.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantizable/modules/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantizable/modules/activation.py to activation.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/ns/_numeric_suite_fx.py to _numeric_suite_fx.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/ns/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/ns/_numeric_suite.py to _numeric_suite.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/ns/fx/utils.py to utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/ns/fx/graph_matcher.py to graph_matcher.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/ns/fx/n_shadows_utils.py to n_shadows_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/ns/fx/qconfig_multi_mapping.py to qconfig_multi_mapping.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/ns/fx/pattern_utils.py to pattern_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/ns/fx/graph_passes.py to graph_passes.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/ns/fx/ns_types.py to ns_types.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/ns/fx/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/ns/fx/mappings.py to mappings.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/ns/fx/weight_utils.py to weight_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/quantize.py to quantize.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/quantize_jit.py to quantize_jit.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fuse_modules.py to fuse_modules.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/utils.py to utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/observer.py to observer.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/qconfig.py to qconfig.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/_equalize.py to _equalize.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/quant_type.py to quant_type.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/quantization_mappings.py to quantization_mappings.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/_quantize_pt2e.py to _quantize_pt2e.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/quantize_fx.py to quantize_fx.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py to fuser_method_mappings.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/_learnable_fake_quantize.py to _learnable_fake_quantize.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/stubs.py to stubs.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/_correct_bias.py to _correct_bias.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/qconfig_mapping.py to qconfig_mapping.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fake_quantize.py to fake_quantize.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx/custom_config.py to custom_config.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx/utils.py to utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx/_equalize.py to _equalize.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx/fuse.py to fuse.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx/_lower_to_native_backend.py to _lower_to_native_backend.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx/_decomposed.py to _decomposed.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx/prepare.py to prepare.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx/fuse_handler.py to fuse_handler.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx/pattern_utils.py to pattern_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx/qconfig_mapping_utils.py to qconfig_mapping_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx/graph_module.py to graph_module.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx/tracer.py to tracer.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx/quantize_handler.py to quantize_handler.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx/match_utils.py to match_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx/lower_to_qnnpack.py to lower_to_qnnpack.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx/convert.py to convert.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx/lower_to_fbgemm.py to lower_to_fbgemm.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report_observer.py to model_report_observer.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report.py to model_report.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx/_model_report/detector.py to detector.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx/_model_report/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py to model_report_visualizer.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/backend_config/_qnnpack_pt2e.py to _qnnpack_pt2e.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/backend_config/native.py to native.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/backend_config/fbgemm.py to fbgemm.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/backend_config/observation_type.py to observation_type.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/backend_config/utils.py to utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/backend_config/_common_operator_config_utils.py to _common_operator_config_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/backend_config/backend_config.py to backend_config.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/backend_config/tensorrt.py to tensorrt.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/backend_config/qnnpack.py to qnnpack.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/backend_config/x86.py to x86.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/backend_config/onednn.py to onednn.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/backend_config/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/backend_config/executorch.py to executorch.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/_pt2e/utils.py to utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/_pt2e/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_mappings.py to _mappings.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py to base_sparsifier.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/sparsifier/utils.py to utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/sparsifier/nearly_diagonal_sparsifier.py to nearly_diagonal_sparsifier.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/sparsifier/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/sparsifier/weight_norm_sparsifier.py to weight_norm_sparsifier.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/scheduler/lambda_scheduler.py to lambda_scheduler.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/scheduler/base_scheduler.py to base_scheduler.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/scheduler/cubic_scheduler.py to cubic_scheduler.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/scheduler/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py to base_data_sparsifier.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/data_sparsifier/quantization_utils.py to quantization_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/data_sparsifier/data_norm_sparsifier.py to data_norm_sparsifier.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/data_sparsifier/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/data_sparsifier/lightning/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/data_sparsifier/lightning/callbacks/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/data_sparsifier/lightning/callbacks/data_sparsity.py to data_sparsity.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/data_sparsifier/lightning/callbacks/_data_sparstity_utils.py to _data_sparstity_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/activation_sparsifier/activation_sparsifier.py to activation_sparsifier.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/activation_sparsifier/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/data_scheduler/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/data_scheduler/base_data_scheduler.py to base_data_scheduler.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/pruner/saliency_pruner.py to saliency_pruner.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/pruner/base_structured_sparsifier.py to base_structured_sparsifier.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/pruner/prune_functions.py to prune_functions.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/pruner/parametrization.py to parametrization.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/pruner/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/pruner/lstm_saliency_pruner.py to lstm_saliency_pruner.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/pruner/match_utils.py to match_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/autograd/profiler_legacy.py to profiler_legacy.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/autograd/forward_ad.py to forward_ad.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/autograd/variable.py to variable.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/autograd/functional.py to functional.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/autograd/profiler_util.py to profiler_util.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/autograd/anomaly_mode.py to anomaly_mode.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/autograd/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/autograd/grad_mode.py to grad_mode.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/autograd/profiler.py to profiler.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/autograd/graph.py to graph.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/autograd/gradcheck.py to gradcheck.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/autograd/function.py to function.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/autograd/_functions/utils.py to utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/autograd/_functions/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/autograd/_functions/tensor.py to tensor.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/mkldnn/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/opt_einsum/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/xnnpack/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/_coreml/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/_coreml/preprocess.py to preprocess.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/xeon/run_cpu.py to run_cpu.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/xeon/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/quantized/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/mps/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/openmp/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/cudnn/rnn.py to rnn.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/cudnn/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/cuda/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/mkl/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/_nnapi/prepare.py to prepare.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/_nnapi/serializer.py to serializer.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/_nnapi/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim/adadelta.py to adadelta.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim/lbfgs.py to lbfgs.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim/rmsprop.py to rmsprop.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim/sgd.py to sgd.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim/optimizer.py to optimizer.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim/_functional.py to _functional.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim/radam.py to radam.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim/adamw.py to adamw.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim/rprop.py to rprop.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim/asgd.py to asgd.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim/swa_utils.py to swa_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim/lr_scheduler.py to lr_scheduler.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim/adagrad.py to adagrad.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim/nadam.py to nadam.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim/adamax.py to adamax.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim/sparse_adam.py to sparse_adam.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim/adam.py to adam.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim/_multi_tensor/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit/_recursive.py to _recursive.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit/frontend.py to frontend.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit/_async.py to _async.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit/_trace.py to _trace.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit/_decomposition_utils.py to _decomposition_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit/unsupported_tensor_ops.py to unsupported_tensor_ops.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit/_decompositions.py to _decompositions.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit/annotations.py to annotations.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit/_check.py to _check.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit/_shape_functions.py to _shape_functions.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit/_monkeytype_config.py to _monkeytype_config.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit/_await.py to _await.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit/_logging.py to _logging.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit/supported_ops.py to supported_ops.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit/quantized.py to quantized.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit/_serialization.py to _serialization.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit/_state.py to _state.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit/_builtins.py to _builtins.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit/_dataclass_impls.py to _dataclass_impls.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit/generate_bytecode.py to generate_bytecode.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit/_script.py to _script.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit/_fuser.py to _fuser.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit/_pickle.py to _pickle.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit/_ir_utils.py to _ir_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit/_freeze.py to _freeze.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit/mobile/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit/_passes/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit/_passes/_property_propagation.py to _property_propagation.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/futures/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nested/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/_cuda_trace.py to _cuda_trace.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/_zip.py to _zip.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/_pytree.py to _pytree.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/_cpp_extension_versioner.py to _cpp_extension_versioner.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/dlpack.py to dlpack.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/mkldnn.py to mkldnn.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/checkpoint.py to checkpoint.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/_foreach_utils.py to _foreach_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/_crash_handler.py to _crash_handler.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/_contextlib.py to _contextlib.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/show_pickle.py to show_pickle.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/backend_registration.py to backend_registration.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/hooks.py to hooks.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/_mode_utils.py to _mode_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/model_zoo.py to model_zoo.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/cpp_extension.py to cpp_extension.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/file_baton.py to file_baton.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/_traceback.py to _traceback.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/collect_env.py to collect_env.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/_device.py to _device.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/weak.py to weak.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/_python_dispatch.py to _python_dispatch.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/throughput_benchmark.py to throughput_benchmark.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/cpp_backtrace.py to cpp_backtrace.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/_stats.py to _stats.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/_freeze.py to _freeze.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/bundled_inputs.py to bundled_inputs.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/mobile_optimizer.py to mobile_optimizer.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/model_dump/__main__.py to __main__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/model_dump/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/jit/log_extract.py to log_extract.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/jit/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/_sympy/value_ranges.py to value_ranges.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/_sympy/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/examples/op_benchmark.py to op_benchmark.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/examples/blas_compare.py to blas_compare.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/examples/simple_timeit.py to simple_timeit.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/examples/fuzzer.py to fuzzer.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/examples/end_to_end.py to end_to_end.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/examples/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/examples/spectral_ops_fuzz_test.py to spectral_ops_fuzz_test.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/examples/blas_compare_setup.py to blas_compare_setup.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/examples/compare.py to compare.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/utils/sparse_fuzzer.py to sparse_fuzzer.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/utils/timer.py to timer.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/utils/_stubs.py to _stubs.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/utils/fuzzer.py to fuzzer.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/utils/cpp_jit.py to cpp_jit.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/utils/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/utils/common.py to common.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/utils/compare.py to compare.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/utils/valgrind_wrapper/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/utils/valgrind_wrapper/timer_interface.py to timer_interface.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/op_fuzzers/spectral.py to spectral.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/op_fuzzers/unary.py to unary.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/op_fuzzers/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/op_fuzzers/sparse_unary.py to sparse_unary.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/op_fuzzers/sparse_binary.py to sparse_binary.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/op_fuzzers/binary.py to binary.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/backcompat/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/bottleneck/__main__.py to __main__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/bottleneck/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/distributed.py to distributed.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/dataset.py to dataset.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/graph_settings.py to graph_settings.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/dataloader.py to dataloader.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/graph.py to graph.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/sampler.py to sampler.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/backward_compatibility.py to backward_compatibility.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/_typing.py to _typing.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/datapipe.py to datapipe.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/_hook_iterator.py to _hook_iterator.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/_decorator.py to _decorator.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/gen_pyi.py to gen_pyi.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/map/utils.py to utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/map/combining.py to combining.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/map/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/map/combinatorics.py to combinatorics.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/map/grouping.py to grouping.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/map/callable.py to callable.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/utils/decoder.py to decoder.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/utils/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/utils/common.py to common.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/utils/snapshot.py to snapshot.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/iter/sharding.py to sharding.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/iter/utils.py to utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py to combining.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/iter/routeddecoder.py to routeddecoder.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/iter/filelister.py to filelister.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/iter/fileopener.py to fileopener.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/iter/streamreader.py to streamreader.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/iter/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/iter/selecting.py to selecting.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/iter/combinatorics.py to combinatorics.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/iter/grouping.py to grouping.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/iter/callable.py to callable.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/dataframe/dataframes.py to dataframes.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/dataframe/dataframe_wrapper.py to dataframe_wrapper.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/dataframe/structures.py to structures.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/dataframe/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/dataframe/datapipes.py to datapipes.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/_utils/signal_handling.py to signal_handling.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/_utils/collate.py to collate.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/_utils/serialization.py to serialization.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/_utils/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/_utils/fetch.py to fetch.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/_utils/worker.py to worker.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/_utils/pin_memory.py to pin_memory.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/hipify/hipify_python.py to hipify_python.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/hipify/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/hipify/version.py to version.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/hipify/cuda_to_hip_mappings.py to cuda_to_hip_mappings.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/hipify/constants.py to constants.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/tensorboard/_proto_graph.py to _proto_graph.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/tensorboard/_convert_np.py to _convert_np.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/tensorboard/summary.py to summary.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/tensorboard/_utils.py to _utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/tensorboard/_embedding.py to _embedding.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/tensorboard/_caffe2_graph.py to _caffe2_graph.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/tensorboard/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/tensorboard/writer.py to writer.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/tensorboard/_pytorch_graph.py to _pytorch_graph.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/tensorboard/_onnx_graph.py to _onnx_graph.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_subclasses/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_subclasses/meta_utils.py to meta_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_subclasses/fake_utils.py to fake_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_subclasses/fake_tensor.py to fake_tensor.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/multiprocessing/spawn.py to spawn.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/multiprocessing/_atfork.py to _atfork.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/multiprocessing/reductions.py to reductions.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/multiprocessing/queue.py to queue.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/multiprocessing/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/multiprocessing/pool.py to pool.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/linalg/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_awaits/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/profiler/itt.py to itt.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/profiler/_memory_profiler.py to _memory_profiler.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/profiler/_utils.py to _utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/profiler/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/profiler/_pattern_matcher.py to _pattern_matcher.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/profiler/profiler.py to profiler.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/profiler/python_tracer.py to python_tracer.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/_pytree.py to _pytree.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/operator_schemas.py to operator_schemas.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/traceback.py to traceback.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/_compatibility.py to _compatibility.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/tensor_type.py to tensor_type.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/annotate.py to annotate.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/proxy.py to proxy.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/graph_module.py to graph_module.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/_symbolic_trace.py to _symbolic_trace.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/graph.py to graph.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/interpreter.py to interpreter.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/subgraph_rewriter.py to subgraph_rewriter.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/config.py to config.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/node.py to node.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/immutable_collections.py to immutable_collections.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/normalize.py to normalize.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/optimization.py to optimization.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/merge_matmul.py to merge_matmul.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/symbolic_shapes.py to symbolic_shapes.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/rewriter.py to rewriter.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/graph_gradual_typechecker.py to graph_gradual_typechecker.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/debug.py to debug.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/unify_refinements.py to unify_refinements.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/partitioner_utils.py to partitioner_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/proxy_tensor.py to proxy_tensor.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/schema_type_annotation.py to schema_type_annotation.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/accelerator_partitioner.py to accelerator_partitioner.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/const_fold.py to const_fold.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/meta_tracer.py to meta_tracer.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/refinement_types.py to refinement_types.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/migrate_gradual_types/constraint_generator.py to constraint_generator.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/migrate_gradual_types/constraint_transformation.py to constraint_transformation.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/migrate_gradual_types/z3_types.py to z3_types.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/migrate_gradual_types/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/migrate_gradual_types/transform_to_z3.py to transform_to_z3.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/migrate_gradual_types/util.py to util.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/migrate_gradual_types/operation.py to operation.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/migrate_gradual_types/constraint.py to constraint.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/unification/variable.py to variable.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/unification/utils.py to utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/unification/match.py to match.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/unification/more.py to more.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/unification/core.py to core.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py to unification_tools.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/unification/dispatch.py to dispatch.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/unification/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py to dispatcher.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py to utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/core.py to core.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/conflict.py to conflict.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/variadic.py to variadic.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/graph_drawer.py to graph_drawer.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/splitter_base.py to splitter_base.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/tools_common.py to tools_common.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/split_utils.py to split_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/annotate_getitem_nodes.py to annotate_getitem_nodes.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/fake_tensor_prop.py to fake_tensor_prop.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/operator_support.py to operator_support.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/param_fetch.py to param_fetch.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/reinplace.py to reinplace.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/split_module.py to split_module.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/graph_manipulation.py to graph_manipulation.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/net_min_base.py to net_min_base.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/shape_prop.py to shape_prop.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/pass_manager.py to pass_manager.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/dialect/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/dialect/common/cse_pass.py to cse_pass.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/dialect/common/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/backends/cudagraphs.py to cudagraphs.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/backends/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/infra/partitioner.py to partitioner.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/infra/pass_base.py to pass_base.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/infra/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/infra/pass_manager.py to pass_manager.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/utils/matcher_utils.py to matcher_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/utils/fuser_utils.py to fuser_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/utils/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/utils/common.py to common.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/tests/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/tests/test_pass_manager.py to test_pass_manager.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/special/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/amp/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/amp/autocast_mode.py to autocast_mode.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_export/logical_schema.py to logical_schema.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_export/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_decomp/decompositions.py to decompositions.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_decomp/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_decomp/decompositions_for_jvp.py to decompositions_for_jvp.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/monitor/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package/glob_group.py to glob_group.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package/_stdlib.py to _stdlib.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package/package_importer.py to package_importer.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package/_directory_reader.py to _directory_reader.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package/file_structure_representation.py to file_structure_representation.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package/_digraph.py to _digraph.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package/importer.py to importer.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package/package_exporter.py to package_exporter.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package/find_file_dependencies.py to find_file_dependencies.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package/_mangling.py to _mangling.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package/_mock.py to _mock.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package/_importlib.py to _importlib.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package/_package_unpickler.py to _package_unpickler.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package/_package_pickler.py to _package_pickler.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package/analyze/is_from_package.py to is_from_package.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package/analyze/trace_dependencies.py to trace_dependencies.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package/analyze/find_first_use_of_broken_modules.py to find_first_use_of_broken_modules.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package/analyze/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/mps/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_prims/executor.py to executor.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_prims/nvfuser_executor.py to nvfuser_executor.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_prims/context.py to context.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_prims/nvfuser_prims.py to nvfuser_prims.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_prims/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/symbolic_opset8.py to symbolic_opset8.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_experimental.py to _experimental.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/utils.py to utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/symbolic_opset15.py to symbolic_opset15.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/verification.py to verification.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/symbolic_opset10.py to symbolic_opset10.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/symbolic_helper.py to symbolic_helper.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_type_utils.py to _type_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/symbolic_opset17.py to symbolic_opset17.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/symbolic_opset16.py to symbolic_opset16.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_onnx_supported_ops.py to _onnx_supported_ops.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/errors.py to errors.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_exporter_states.py to _exporter_states.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/symbolic_opset18.py to symbolic_opset18.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_globals.py to _globals.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/symbolic_opset12.py to symbolic_opset12.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/operators.py to operators.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/symbolic_opset11.py to symbolic_opset11.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/symbolic_opset13.py to symbolic_opset13.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/symbolic_opset14.py to symbolic_opset14.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_deprecation.py to _deprecation.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/symbolic_opset9.py to symbolic_opset9.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_constants.py to _constants.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/symbolic_caffe2.py to symbolic_caffe2.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/symbolic_opset7.py to symbolic_opset7.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/onnx_proto_utils.py to onnx_proto_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/jit_utils.py to jit_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/registration.py to registration.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/_beartype.py to _beartype.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/fx/diagnostics.py to diagnostics.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/fx/context.py to context.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/fx/exporter.py to exporter.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/fx/options.py to options.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/fx/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/fx/function_dispatcher.py to function_dispatcher.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/_rules.py to _rules.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/_diagnostic.py to _diagnostic.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/_infra.py to _infra.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/utils.py to utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/formatter.py to formatter.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/engine.py to engine.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/decorator.py to decorator.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_graph_traversal.py to _graph_traversal.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_message.py to _message.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_artifact_change.py to _artifact_change.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_version_control_details.py to _version_control_details.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_external_properties.py to _external_properties.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_result.py to _result.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_tool_component_reference.py to _tool_component_reference.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_reporting_descriptor.py to _reporting_descriptor.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_node.py to _node.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_location.py to _location.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_run.py to _run.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_rectangle.py to _rectangle.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_run_automation_details.py to _run_automation_details.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_artifact_content.py to _artifact_content.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_configuration_override.py to _configuration_override.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_conversion.py to _conversion.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_edge.py to _edge.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_sarif_log.py to _sarif_log.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_exception.py to _exception.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_edge_traversal.py to _edge_traversal.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_result_provenance.py to _result_provenance.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_thread_flow.py to _thread_flow.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_suppression.py to _suppression.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_reporting_descriptor_reference.py to _reporting_descriptor_reference.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_web_response.py to _web_response.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_fix.py to _fix.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_special_locations.py to _special_locations.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_external_property_file_references.py to _external_property_file_references.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_notification.py to _notification.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_replacement.py to _replacement.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_invocation.py to _invocation.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_web_request.py to _web_request.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_graph.py to _graph.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_stack.py to _stack.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_tool.py to _tool.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_multiformat_message_string.py to _multiformat_message_string.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_code_flow.py to _code_flow.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/version.py to version.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_logical_location.py to _logical_location.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_external_property_file_reference.py to _external_property_file_reference.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_region.py to _region.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_property_bag.py to _property_bag.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_translation_metadata.py to _translation_metadata.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_stack_frame.py to _stack_frame.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_thread_flow_location.py to _thread_flow_location.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_artifact_location.py to _artifact_location.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_tool_component.py to _tool_component.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_location_relationship.py to _location_relationship.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_artifact.py to _artifact.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_reporting_descriptor_relationship.py to _reporting_descriptor_relationship.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_address.py to _address.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_physical_location.py to _physical_location.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_attachment.py to _attachment.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_reporting_configuration.py to _reporting_configuration.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_comparison.py to _comparison.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_creation.py to _creation.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/common_modules.py to common_modules.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/logging_tensor.py to logging_tensor.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/composite_compliance.py to composite_compliance.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/common_fsdp.py to common_fsdp.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/common_dist_composable.py to common_dist_composable.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/common_device_type.py to common_device_type.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/common_quantization.py to common_quantization.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/common_utils.py to common_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/common_jit.py to common_jit.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/check_kernel_launches.py to check_kernel_launches.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/common_quantized.py to common_quantized.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/common_methods_invocations.py to common_methods_invocations.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/autograd_function_db.py to autograd_function_db.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/inductor_utils.py to inductor_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/common_distributed.py to common_distributed.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/common_subclass.py to common_subclass.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/common_pruning.py to common_pruning.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/quantization_torch_package_models.py to quantization_torch_package_models.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/jit_utils.py to jit_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/autocast_test_lists.py to autocast_test_lists.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/common_cuda.py to common_cuda.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/common_dtype.py to common_dtype.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/schema_check_mode.py to schema_check_mode.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/dist_utils.py to dist_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/hypothesis_utils.py to hypothesis_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/jit_metaprogramming_utils.py to jit_metaprogramming_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/common_nn.py to common_nn.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/generated/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/generated/annotated_fn_args.py to annotated_fn_args.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/codegen/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/codegen/random_topo_test.py to random_topo_test.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/data/network2.py to network2.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/data/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/data/network1.py to network1.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/opinfo/utils.py to utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/opinfo/core.py to core.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/opinfo/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/opinfo/refs.py to refs.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/opinfo/definitions/signal.py to signal.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/opinfo/definitions/linalg.py to linalg.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/opinfo/definitions/_masked.py to _masked.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/opinfo/definitions/special.py to special.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/opinfo/definitions/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/opinfo/definitions/fft.py to fft.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/distributed_test.py to distributed_test.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/ddp_under_dist_autograd_test.py to ddp_under_dist_autograd_test.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/distributed_utils.py to distributed_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/pipe_with_ddp_test.py to pipe_with_ddp_test.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/rpc_utils.py to rpc_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/multi_threaded_pg.py to multi_threaded_pg.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/checkpoint_utils.py to checkpoint_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/nn/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/nn/api/remote_module_test.py to remote_module_test.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/nn/api/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/_tensor/common_dtensor.py to common_dtensor.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/_tensor/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/pipeline/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/_shard/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/_shard/test_common.py to test_common.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/_shard/sharded_tensor/_test_st_common.py to _test_st_common.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/_shard/sharded_tensor/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/_shard/sharded_tensor/_test_ops_common.py to _test_ops_common.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/rpc/dist_optimizer_test.py to dist_optimizer_test.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/rpc/rpc_test.py to rpc_test.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/rpc/faulty_rpc_agent_test_fixture.py to faulty_rpc_agent_test_fixture.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/rpc/faulty_agent_rpc_test.py to faulty_agent_rpc_test.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/rpc/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/rpc/dist_autograd_test.py to dist_autograd_test.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/rpc/rpc_agent_test_fixture.py to rpc_agent_test_fixture.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/rpc/tensorpipe_rpc_agent_test_fixture.py to tensorpipe_rpc_agent_test_fixture.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/rpc/examples/parameter_server_test.py to parameter_server_test.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/rpc/examples/reinforcement_learning_rpc_test.py to reinforcement_learning_rpc_test.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/rpc/examples/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/rpc/jit/rpc_test_faulty.py to rpc_test_faulty.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/rpc/jit/rpc_test.py to rpc_test.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/rpc/jit/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/rpc/jit/dist_autograd_test.py to dist_autograd_test.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/test_module/no_future_div.py to no_future_div.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/test_module/future_div.py to future_div.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/test_module/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/quantize.py to quantize.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/quantize_jit.py to quantize_jit.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/fuse_modules.py to fuse_modules.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/_numeric_suite_fx.py to _numeric_suite_fx.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/utils.py to utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/observer.py to observer.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/qconfig.py to qconfig.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/quant_type.py to quant_type.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/quantization_mappings.py to quantization_mappings.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/quantize_fx.py to quantize_fx.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/fuser_method_mappings.py to fuser_method_mappings.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/_numeric_suite.py to _numeric_suite.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/stubs.py to stubs.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/fake_quantize.py to fake_quantize.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/fx/utils.py to utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/fx/_equalize.py to _equalize.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/fx/fuse.py to fuse.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/fx/fusion_patterns.py to fusion_patterns.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/fx/prepare.py to prepare.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/fx/quantization_types.py to quantization_types.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/fx/pattern_utils.py to pattern_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/fx/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/fx/graph_module.py to graph_module.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/fx/quantization_patterns.py to quantization_patterns.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/fx/match_utils.py to match_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/fx/convert.py to convert.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/launch.py to launch.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/utils.py to utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/c10d_error_logger.py to c10d_error_logger.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/remote_device.py to remote_device.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/rendezvous.py to rendezvous.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/logging_handlers.py to logging_handlers.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/argparse_util.py to argparse_util.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_composable_state.py to _composable_state.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/distributed_c10d.py to distributed_c10d.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/run.py to run.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/constants.py to constants.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/checkpoint/planner_helpers.py to planner_helpers.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/checkpoint/storage.py to storage.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/checkpoint/optimizer.py to optimizer.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/checkpoint/utils.py to utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/checkpoint/_traverse.py to _traverse.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/checkpoint/_sharded_tensor_utils.py to _sharded_tensor_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/checkpoint/planner.py to planner.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/checkpoint/_nested_dict.py to _nested_dict.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/checkpoint/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/checkpoint/filesystem.py to filesystem.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/checkpoint/_dedup_tensors.py to _dedup_tensors.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/checkpoint/metadata.py to metadata.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/checkpoint/default_planner.py to default_planner.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/checkpoint/state_dict_saver.py to state_dict_saver.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/checkpoint/resharding.py to resharding.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/checkpoint/state_dict_loader.py to state_dict_loader.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/checkpoint/api.py to api.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp/wrap.py to wrap.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp/_trace_utils.py to _trace_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp/_fsdp_extensions.py to _fsdp_extensions.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp/_state_dict_utils.py to _state_dict_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp/_limiter_utils.py to _limiter_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp/_traversal_utils.py to _traversal_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp/_unshard_param_utils.py to _unshard_param_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp/_init_utils.py to _init_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp/_shard_utils.py to _shard_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp/_dynamo_utils.py to _dynamo_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp/_common_utils.py to _common_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp/_utils.py to _utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py to fully_sharded_data_parallel.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp/_exec_order_utils.py to _exec_order_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp/_runtime_utils.py to _runtime_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp/sharded_grad_scaler.py to sharded_grad_scaler.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp/api.py to api.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp/flat_param.py to flat_param.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp/_wrap_utils.py to _wrap_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp/_optim_utils.py to _optim_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/join.py to join.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/_checkpoint/checkpoint_wrapper.py to checkpoint_wrapper.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/_checkpoint/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/model_averaging/utils.py to utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/model_averaging/hierarchical_model_averager.py to hierarchical_model_averager.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/model_averaging/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/model_averaging/averagers.py to averagers.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/_comm_hooks/default_hooks.py to default_hooks.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/_comm_hooks/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/ddp_zero_hook.py to ddp_zero_hook.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/optimizer_overlap_hooks.py to optimizer_overlap_hooks.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py to default_hooks.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/quantization_hooks.py to quantization_hooks.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/powerSGD_hook.py to powerSGD_hook.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/post_localSGD_hook.py to post_localSGD_hook.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/debugging_hooks.py to debugging_hooks.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/_quantization/quantization.py to quantization.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/_quantization/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/_optimizer_overlap/optimizer_overlap.py to optimizer_overlap.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/_optimizer_overlap/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/nn/functional.py to functional.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/nn/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/nn/jit/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/nn/jit/instantiator.py to instantiator.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/nn/jit/templates/remote_module_template.py to remote_module_template.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/nn/jit/templates/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/nn/api/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/nn/api/remote_module.py to remote_module.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/launcher/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/launcher/api.py to api.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/autograd/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_sharding_spec/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/optim/post_localSGD_optimizer.py to post_localSGD_optimizer.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/optim/optimizer.py to optimizer.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/optim/utils.py to utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/optim/functional_adam.py to functional_adam.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/optim/functional_sgd.py to functional_sgd.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/optim/zero_redundancy_optimizer.py to zero_redundancy_optimizer.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/optim/functional_rprop.py to functional_rprop.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/optim/named_optimizer.py to named_optimizer.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/optim/functional_rmsprop.py to functional_rmsprop.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/optim/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/optim/functional_adamax.py to functional_adamax.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/optim/apply_optimizer_in_backward.py to apply_optimizer_in_backward.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/optim/functional_adadelta.py to functional_adadelta.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/optim/functional_adagrad.py to functional_adagrad.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/optim/functional_adamw.py to functional_adamw.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_composable/checkpoint_activation.py to checkpoint_activation.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_composable/contract.py to contract.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_composable/_ddp.py to _ddp.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_composable/replicate.py to replicate.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_composable/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_composable/fully_shard.py to fully_shard.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_tensor/redistribute.py to redistribute.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_tensor/placement_types.py to placement_types.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_tensor/dispatch.py to dispatch.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_tensor/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_tensor/op_schema.py to op_schema.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_tensor/device_mesh.py to device_mesh.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_tensor/sharding_prop.py to sharding_prop.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_tensor/api.py to api.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_tensor/ops/matrix_ops.py to matrix_ops.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_tensor/ops/utils.py to utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_tensor/ops/math_ops.py to math_ops.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_tensor/ops/pointwise_ops.py to pointwise_ops.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_tensor/ops/view_ops.py to view_ops.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_tensor/ops/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_tensor/ops/tensor_ops.py to tensor_ops.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_tensor/ops/common_rules.py to common_rules.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/tensor/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/tensor/parallel/_view_with_dim_change.py to _view_with_dim_change.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/tensor/parallel/multihead_attention_tp.py to multihead_attention_tp.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/tensor/parallel/_utils.py to _utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/tensor/parallel/style.py to style.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/tensor/parallel/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/tensor/parallel/api.py to api.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/tensor/parallel/fsdp.py to fsdp.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_sharded_tensor/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/agent/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/agent/server/local_elastic_agent.py to local_elastic_agent.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/agent/server/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/agent/server/api.py to api.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/metrics/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/metrics/api.py to api.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/events/handlers.py to handlers.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/events/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/events/api.py to api.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/utils/logging.py to logging.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/utils/distributed.py to distributed.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/utils/log_level.py to log_level.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/utils/store.py to store.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/utils/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/utils/api.py to api.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/utils/data/cycling_iterator.py to cycling_iterator.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/utils/data/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/utils/data/elastic_distributed_sampler.py to elastic_distributed_sampler.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/multiprocessing/tail_log.py to tail_log.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/multiprocessing/redirects.py to redirects.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/multiprocessing/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/multiprocessing/api.py to api.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/multiprocessing/errors/handlers.py to handlers.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/multiprocessing/errors/error_handler.py to error_handler.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/multiprocessing/errors/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/timer/local_timer.py to local_timer.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/timer/file_based_local_timer.py to file_based_local_timer.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/timer/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/timer/api.py to api.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/rendezvous/etcd_server.py to etcd_server.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/rendezvous/utils.py to utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/rendezvous/c10d_rendezvous_backend.py to c10d_rendezvous_backend.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/rendezvous/registry.py to registry.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/rendezvous/etcd_rendezvous_backend.py to etcd_rendezvous_backend.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/rendezvous/static_tcp_rendezvous.py to static_tcp_rendezvous.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/rendezvous/etcd_store.py to etcd_store.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/rendezvous/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/rendezvous/dynamic_rendezvous.py to dynamic_rendezvous.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/rendezvous/api.py to api.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/rendezvous/etcd_rendezvous.py to etcd_rendezvous.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_spmd/comm_tensor.py to comm_tensor.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_spmd/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_tools/memory_tracker.py to memory_tracker.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_tools/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync/pipe.py to pipe.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync/microbatch.py to microbatch.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync/utils.py to utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync/checkpoint.py to checkpoint.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync/pipeline.py to pipeline.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync/stream.py to stream.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync/phony.py to phony.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync/copy.py to copy.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync/dependency.py to dependency.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync/batchnorm.py to batchnorm.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync/worker.py to worker.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync/skip/tracker.py to tracker.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync/skip/skippable.py to skippable.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync/skip/namespace.py to namespace.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync/skip/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync/skip/portal.py to portal.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync/skip/layout.py to layout.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync/_balance/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync/_balance/blockpartition.py to blockpartition.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync/_balance/profile.py to profile.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/partial_tensor.py to partial_tensor.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/replicated_tensor.py to replicated_tensor.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharder.py to sharder.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/_utils.py to _utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/common_op_utils.py to common_op_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/metadata.py to metadata.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/op_registry_utils.py to op_registry_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/api.py to api.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/checkpoint/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharded_tensor/reshard.py to reshard.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharded_tensor/utils.py to utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharded_tensor/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharded_tensor/metadata.py to metadata.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharded_tensor/api.py to api.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharded_tensor/shard.py to shard.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharded_tensor/_ops/_common.py to _common.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharded_tensor/_ops/init.py to init.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharded_tensor/_ops/matrix_ops.py to matrix_ops.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharded_tensor/_ops/math_ops.py to math_ops.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharded_tensor/_ops/binary_cmp.py to binary_cmp.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharded_tensor/_ops/chunk.py to chunk.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharded_tensor/_ops/misc_ops.py to misc_ops.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharded_tensor/_ops/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharded_tensor/_ops/tensor_ops.py to tensor_ops.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharded_tensor/_ops/elementwise_ops.py to elementwise_ops.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharding_spec/_internals.py to _internals.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharding_spec/chunk_sharding_spec.py to chunk_sharding_spec.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharding_spec/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharding_spec/api.py to api.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops/_common.py to _common.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops/embedding.py to embedding.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops/matrix_ops.py to matrix_ops.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops/math_ops.py to math_ops.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops/embedding_bag.py to embedding_bag.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops/softmax.py to softmax.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops/linear.py to linear.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharding_plan/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharding_plan/api.py to api.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharded_optim/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharded_optim/api.py to api.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/rpc/backend_registry.py to backend_registry.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/rpc/internal.py to internal.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/rpc/rref_proxy.py to rref_proxy.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/rpc/options.py to options.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/rpc/functions.py to functions.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/rpc/_utils.py to _utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/rpc/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/rpc/api.py to api.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/rpc/server_process_global_profiler.py to server_process_global_profiler.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/rpc/constants.py to constants.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/rpc/_testing/faulty_agent_backend_registry.py to faulty_agent_backend_registry.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/rpc/_testing/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fft/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda/sparse.py to sparse.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda/_sanitizer.py to _sanitizer.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda/error.py to error.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda/_utils.py to _utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda/streams.py to streams.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda/profiler.py to profiler.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda/nvtx.py to nvtx.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda/memory.py to memory.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda/jiterator.py to jiterator.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda/graphs.py to graphs.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda/comm.py to comm.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda/_memory_viz.py to _memory_viz.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda/nccl.py to nccl.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda/random.py to random.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda/amp/grad_scaler.py to grad_scaler.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda/amp/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda/amp/common.py to common.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda/amp/autocast_mode.py to autocast_mode.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/logging.py to logging.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/types.py to types.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/utils.py to utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/mutation_guard.py to mutation_guard.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/testing.py to testing.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/test_minifier_common.py to test_minifier_common.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/hooks.py to hooks.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/skipfiles.py to skipfiles.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/exc.py to exc.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/replay_record.py to replay_record.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/allowed_functions.py to allowed_functions.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/side_effects.py to side_effects.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/codegen.py to codegen.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/debug_utils.py to debug_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/symbolic_convert.py to symbolic_convert.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/output_graph.py to output_graph.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/test_case.py to test_case.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/resume_execution.py to resume_execution.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/profiler.py to profiler.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/config_utils.py to config_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/convert_frame.py to convert_frame.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/guards.py to guards.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/config.py to config.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/source.py to source.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/bytecode_analysis.py to bytecode_analysis.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/comptime.py to comptime.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/external_utils.py to external_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/eval_frame.py to eval_frame.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/bytecode_transformation.py to bytecode_transformation.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/backends/distributed.py to distributed.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/backends/torchxla.py to torchxla.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/backends/cudagraphs.py to cudagraphs.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/backends/nvfuser.py to nvfuser.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/backends/inductor.py to inductor.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/backends/tensorrt.py to tensorrt.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/backends/registry.py to registry.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/backends/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/backends/common.py to common.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/backends/onnxrt.py to onnxrt.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/backends/debugging.py to debugging.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/backends/ipex.py to ipex.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/backends/tvm.py to tvm.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/variables/base.py to base.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/variables/builtin.py to builtin.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/variables/user_defined.py to user_defined.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/variables/torch.py to torch.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/variables/builder.py to builder.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/variables/constant.py to constant.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/variables/lists.py to lists.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/variables/functions.py to functions.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/variables/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/variables/nn_module.py to nn_module.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/variables/misc.py to misc.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/variables/tensor.py to tensor.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/variables/dicts.py to dicts.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/signal/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/signal/windows/windows.py to windows.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/signal/windows/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cpu/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cpu/amp/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cpu/amp/autocast_mode.py to autocast_mode.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/nvfuser/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/gen_backend_stubs.py to gen_backend_stubs.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/utils.py to utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/native_function_generation.py to native_function_generation.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/context.py to context.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/gen_vmap_plumbing.py to gen_vmap_plumbing.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/gen.py to gen.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/code_template.py to code_template.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/local.py to local.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/model.py to model.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/gen_executorch.py to gen_executorch.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/gen_lazy_tensor.py to gen_lazy_tensor.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/gen_functionalization_type.py to gen_functionalization_type.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/selective_build/selector.py to selector.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/selective_build/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/selective_build/operator.py to operator.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/dest/lazy_ts_lowering.py to lazy_ts_lowering.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/dest/ufunc.py to ufunc.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/dest/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/dest/native_functions.py to native_functions.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/dest/register_dispatch_key.py to register_dispatch_key.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/dest/lazy_ir.py to lazy_ir.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/api/structured.py to structured.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/api/dispatcher.py to dispatcher.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/api/functionalization.py to functionalization.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/api/native.py to native.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/api/ufunc.py to ufunc.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/api/cpp.py to cpp.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/api/autograd.py to autograd.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/api/unboxing.py to unboxing.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/api/translate.py to translate.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/api/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/api/python.py to python.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/api/lazy.py to lazy.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/api/meta.py to meta.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/api/types/types.py to types.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/api/types/types_base.py to types_base.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/api/types/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/api/types/signatures.py to signatures.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/operator_versions/gen_mobile_upgraders_constant.py to gen_mobile_upgraders_constant.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/operator_versions/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/operator_versions/gen_mobile_upgraders.py to gen_mobile_upgraders.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/static_runtime/gen_static_runtime_ops.py to gen_static_runtime_ops.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/static_runtime/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/static_runtime/generator.py to generator.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/static_runtime/config.py to config.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/executorch/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/executorch/api/et_cpp.py to et_cpp.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/executorch/api/unboxing.py to unboxing.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/executorch/api/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/executorch/api/custom_ops.py to custom_ops.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/executorch/api/types/types.py to types.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/executorch/api/types/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/executorch/api/types/signatures.py to signatures.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/dim/wrap_type.py to wrap_type.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/dim/op_properties.py to op_properties.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/dim/reference.py to reference.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/dim/magic_trace.py to magic_trace.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/dim/dim.py to dim.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/dim/delayed_mul_tensor.py to delayed_mul_tensor.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/dim/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/dim/tree_map.py to tree_map.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/dim/batch_tensor.py to batch_tensor.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/experimental/_map.py to _map.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/experimental/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/experimental/_cond.py to _cond.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/experimental/ops.py to ops.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/experimental/control_flow.py to control_flow.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/_src/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/_src/vmap/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/_src/make_functional/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/_src/aot_autograd/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/_src/eager_transforms/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/compile/__init__.py to __init__.cpython-310.pyc running install_egg_info running egg_info creating torch.egg-info writing torch.egg-info/PKG-INFO writing dependency_links to torch.egg-info/dependency_links.txt writing entry points to torch.egg-info/entry_points.txt writing requirements to torch.egg-info/requires.txt writing top-level names to torch.egg-info/top_level.txt writing manifest file 'torch.egg-info/SOURCES.txt' reading manifest file 'torch.egg-info/SOURCES.txt' reading manifest template 'MANIFEST.in' warning: no files found matching '.gitmodules' warning: no previously-included files matching '*.o' found anywhere in distribution warning: no previously-included files matching '*.dylib' found anywhere in distribution warning: no previously-included files matching '.git' found anywhere in distribution adding license file 'LICENSE' adding license file 'NOTICE' warning: no previously-included files matching '*.swp' found anywhere in distribution writing manifest file 'torch.egg-info/SOURCES.txt' Copying torch.egg-info to /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch-2.0.1-py3.10.egg-info running install_scripts Installing convert-caffe2-to-onnx script to /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/bin Installing convert-onnx-to-caffe2 script to /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/bin Installing torchrun script to /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/bin + chrpath -d /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64//usr/lib64/python3.10/site-packages/torch/lib/libc10.so /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64//usr/lib64/python3.10/site-packages/torch/lib/libc10_cuda.so /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64//usr/lib64/python3.10/site-packages/torch/lib/libcaffe2_nvrtc.so /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64//usr/lib64/python3.10/site-packages/torch/lib/libnvfuser_codegen.so /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64//usr/lib64/python3.10/site-packages/torch/lib/libshm.so /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64//usr/lib64/python3.10/site-packages/torch/lib/libtorch.so /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64//usr/lib64/python3.10/site-packages/torch/lib/libtorch_cpu.so /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64//usr/lib64/python3.10/site-packages/torch/lib/libtorch_cuda.so /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64//usr/lib64/python3.10/site-packages/torch/lib/libtorch_cuda_linalg.so /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64//usr/lib64/python3.10/site-packages/torch/lib/libtorch_global_deps.so /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64//usr/lib64/python3.10/site-packages/torch/lib/libtorch_python.so + chrpath -d /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64//usr/lib64/python3.10/site-packages/torch/bin/protoc /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64//usr/lib64/python3.10/site-packages/torch/bin/protoc-3.13.0.0 /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64//usr/lib64/python3.10/site-packages/torch/bin/torch_shm_manager + chrpath -d /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64//usr/lib64/python3.10/site-packages/nvfuser/_C.cpython-310-x86_64-linux-gnu.so + chrpath -d /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64//usr/lib64/python3.10/site-packages/functorch/_C.cpython-310-x86_64-linux-gnu.so + mkdir -p /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/etc/ld.so.conf.d + echo /usr/lib64/python3.10/site-packages/torch/lib + /usr/bin/find-debuginfo -j80 -m -i --build-id-seed 2.0.1-4.an23 --unique-debug-suffix -2.0.1-4.an23.x86_64 --unique-debug-src-base pytorch-2.0.1-4.an23.x86_64 -S debugsourcefiles.list /builddir/build/BUILD/pytorch-v2.0.1 extracting debug info from /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/nvfuser/_C.cpython-310-x86_64-linux-gnu.so extracting debug info from /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_C.cpython-310-x86_64-linux-gnu.so extracting debug info from /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_C_flatbuffer.cpython-310-x86_64-linux-gnu.so extracting debug info from /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/lib/libc10_cuda.so extracting debug info from /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/lib/libcaffe2_nvrtc.so extracting debug info from /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/_C.cpython-310-x86_64-linux-gnu.so extracting debug info from /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/lib/libtorch_cuda_linalg.so extracting debug info from /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/lib/libtorch_cpu.so extracting debug info from /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/lib/libshm.so extracting debug info from /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/lib/libnvfuser_codegen.so extracting debug info from /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/lib/libc10.so extracting debug info from /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/lib/libtorch.so extracting debug info from /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/lib/libtorch_cuda.so extracting debug info from /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/bin/torch_shm_manager extracting debug info from /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/lib/libtorch_python.so extracting debug info from /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/bin/protoc extracting debug info from /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/bin/protoc-3.13.0.0 extracting debug info from /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/lib/libtorch_global_deps.so Error while writing index for `/builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/lib/libtorch_global_deps.so': No debugging symbols Error while writing index for `/builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/lib/libtorch.so': No debugging symbols gdb-add-index: No index was created for /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/lib/libtorch.so gdb-add-index: [Was there no debuginfo? Was there already an index?] gdb-add-index: No index was created for /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/lib/libtorch_global_deps.so gdb-add-index: [Was there no debuginfo? Was there already an index?] 235130 blocks + /usr/lib/rpm/check-buildroot + /usr/lib/rpm/anolis/brp-ldconfig + COMPRESS='zstd -f --rm -19 -T0' + COMPRESS_EXT=.zst + /usr/lib/rpm/brp-compress + /usr/lib/rpm/anolis/brp-strip-lto /usr/bin/strip + /usr/lib/rpm/brp-strip-static-archive /usr/bin/strip + /usr/lib/rpm/check-rpaths + /usr/lib/rpm/brp-remove-la-files + /usr/lib/rpm/anolis/clean_perl + /usr/lib/rpm/anolis/check_elf_files Warning: unused libraries in /usr/lib64/python3.10/site-packages/torch/lib/libc10_cuda.so: libm.so.6 Warning: unused libraries in /usr/lib64/python3.10/site-packages/torch/lib/libcaffe2_nvrtc.so: libm.so.6 libgcc_s.so.1 Warning: unused libraries in /usr/lib64/python3.10/site-packages/torch/lib/libtorch_global_deps.so: libcufft.so.11 libcublas.so.12 libcublasLt.so.12 libcudart.so.12 libnvToolsExt.so.1 Warning: unused libraries in /usr/lib64/python3.10/site-packages/torch/lib/libtorch_cuda_linalg.so: libtorch_cuda.so libc10_cuda.so libnvToolsExt.so.1 libc10.so Warning: unused libraries in /usr/lib64/python3.10/site-packages/torch/lib/libshm.so: libtorch_cpu.so libtorch_cuda.so libc10.so Warning: unused libraries in /usr/lib64/python3.10/site-packages/torch/lib/libtorch_python.so: libtorch.so libtorch_cpu.so libtorch_cuda.so libc10_cuda.so libc10.so Warning: unused libraries in /usr/lib64/python3.10/site-packages/torch/lib/libtorch_cpu.so: libnuma.so.1 Warning: unused libraries in /usr/lib64/python3.10/site-packages/torch/lib/libtorch_cuda.so: libcurand.so.10 libc10.so libtorch_cpu.so Warning: unused libraries in /usr/lib64/python3.10/site-packages/torch/lib/libtorch.so: libtorch_cuda.so Warning: unused libraries in /usr/lib64/python3.10/site-packages/torch/lib/libnvfuser_codegen.so: libtorch_cuda.so libnvrtc.so.12 libtorch_cpu.so libc10_cuda.so libc10.so Warning: unused libraries in /usr/lib64/python3.10/site-packages/nvfuser/_C.cpython-310-x86_64-linux-gnu.so: libtorch_python.so libtorch_cpu.so libc10.so libtorch_cuda.so Warning: unused libraries in /usr/lib64/python3.10/site-packages/functorch/_C.cpython-310-x86_64-linux-gnu.so: libtorch_cpu.so libtorch_cuda.so libc10.so Warning: unused libraries in /usr/lib64/python3.10/site-packages/torch/bin/torch_shm_manager: libtorch_cuda.so Warning: undefined symbols in /usr/lib64/python3.10/site-packages/torch/lib/libc10_cuda.so: _ZN3c104impl8GPUTrace9haveStateE _ZN3c104impl26device_guard_impl_registryE _ZN3c104impl8GPUTrace13gpuTraceStateE _ZN3c106detail23torchInternalAssertFailEPKcS2_jS2_RKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEE _ZN3c107WarningC1ENS_7variantIJNS0_11UserWarningENS0_18DeprecationWarningEEEERKNS_14SourceLocationENSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEb _ZN3c1027reportMemoryUsageToProfilerEPvlmmNS_6DeviceE _ZN3c106detail23torchInternalAssertFailEPKcS2_jS2_S2_ _ZN3c107WarningC1ENS_7variantIJNS0_11UserWarningENS0_18DeprecationWarningEEEENS_14SourceLocationEPKcb _ZN3c104warnERKNS_7WarningE _ZN3c10lsERSoRKNS_6StreamE _ZN3c104impl24DeviceGuardImplRegistrarC1ENS_10DeviceTypeEPKNS0_24DeviceGuardImplInterfaceE _ZN3c106detail14torchCheckFailEPKcS2_jRKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEE _ZN3c1027reportOutOfMemoryToProfilerElmmNS_6DeviceE _ZN3c10lsERSoNS_10DeviceTypeE _ZN3c105ErrorC2ENS_14SourceLocationENSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEE _ZN3c1012WarningUtils14get_warnAlwaysEv _ZN3c106detail14torchCheckFailEPKcS2_jS2_ Warning: undefined symbols in /usr/lib64/python3.10/site-packages/torch/lib/libcaffe2_nvrtc.so: cuModuleLoadData cuLaunchCooperativeKernel cuLinkCreate_v2 cuFuncSetAttribute cuLinkComplete cuCtxGetCurrent cuGetErrorString cuLaunchKernel cuModuleUnload cuModuleLoadDataEx cuFuncGetAttribute cuOccupancyMaxActiveBlocksPerMultiprocessor cuModuleGetFunction cuLinkAddData_v2 cuDevicePrimaryCtxGetState Warning: undefined symbols in /usr/lib64/python3.10/site-packages/torch/lib/libtorch_cuda_linalg.so: _ZN3c1019UndefinedTensorImpl10_singletonE 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_ZN2at4_ops7reshape4callERKNS_6TensorEN3c108ArrayRefINS5_6SymIntEEE PyDict_Copy _PyThreadState_UncheckedGet PyDict_Size PyUnicode_FromString _PyObject_MakeTpCall _ZN3c106detail14torchCheckFailEPKcS2_jS2_ _ZN3c104impl19HermeticPyObjectTLS13get_tls_stateEv PyErr_WriteUnraisable PyThread_tss_create PyObject_HasAttrString _PyArg_UnpackKeywords PyBytes_AsString _ZN2at4_ops15to_dtype_layout4callERKNS_6TensorEN3c108optionalINS5_10ScalarTypeEEENS6_INS5_6LayoutEEENS6_INS5_6DeviceEEENS6_IbEEbbNS6_INS5_12MemoryFormatEEE PyByteArray_Size PyCapsule_GetContext _PyType_Lookup PyThreadState_Clear PyErr_Clear PyCapsule_New PyMem_Calloc _ZNK2at9functorch12DynamicLayer7layerIdEv _ZN2at4_ops6arange4callERKN3c106ScalarENS2_8optionalINS2_10ScalarTypeEEENS6_INS2_6LayoutEEENS6_INS2_6DeviceEEENS6_IbEE PyBytes_Size PyLong_AsSsize_t PySequence_Size PyType_Ready PyObject_IsTrue PyTuple_GetItem _PyObject_GetDictPtr PyTuple_SetItem PyThread_tss_get PyErr_Restore PyThread_tss_alloc _ZN6caffe28TypeMeta26error_unsupported_typemetaES0_ _ZN2at9functorch23initAndPushDynamicLayerENS0_13TransformTypeEN3c108optionalIlEENS3_INS0_14RandomnessTypeEEENS3_IbEES7_S7_ PyGILState_GetThisThreadState PyBytes_AsStringAndSize PyUnicode_AsEncodedString PyTuple_New PyUnicode_AsUTF8 PyObject_CallFunctionObjArgs PySlice_Unpack PyErr_Occurred PyThreadState_DeleteCurrent PyWeakref_NewRef _ZN2at9functorch32popDynamicLayerAndDeleteMetadataEv PyErr_FormatV PyUnicode_AsUTF8String PyEval_GetBuiltins PyDict_SetItem _ZN2at4_ops16split_with_sizes4callERKNS_6TensorEN3c108ArrayRefINS5_6SymIntEEEl PyCapsule_GetName _ZN2at4_ops2mm4callERKNS_6TensorES4_ PyImport_ImportModule _ZN2at4_ops3bmm4callERKNS_6TensorES4_ PyCMethod_New PyException_SetContext PySlice_AdjustIndices PyGILState_Ensure PyEval_AcquireThread PyErr_SetString PyObject_CallObject PyThread_tss_set PyObject_IsInstance PyMem_Free PyThreadState_Get _ZN2at9functorch11addBatchDimERKNS_6TensorEll _ZN3c104impl12PyObjectSlot10owns_pyobjEv PyThreadState_New _ZN3c106detail14torchCheckFailEPKcS2_jRKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEE PyObject_Repr PyFrame_GetLineNumber PyErr_NormalizeException PyObject_ClearWeakRefs PyDict_Next PyCapsule_GetPointer PyUnicode_FromFormatV _ZN2at4_ops5stack4callEN3c108ArrayRefINS_6TensorEEEl _PyArg_ParseTupleAndKeywords_SizeT _Py_CheckFunctionResult PyInstanceMethod_New PyThreadState_GetFrame PyDict_New PyCapsule_SetPointer _PyArg_ParseStackAndKeywords_SizeT PyGILState_Release PyModule_AddObject PySequence_GetItem PyObject_GetItem PyObject_SetItem PyDict_Contains PyBool_FromLong PyFrame_GetBack _ZNK3c104impl12PyObjectSlot25_unchecked_untagged_pyobjEv PyFloat_AsDouble PyEval_SaveThread PyFrame_GetCode PyCapsule_SetContext _Z16THPVariable_WrapN2at10TensorBaseE Py_GetVersion PySequence_Check _Z16getPyInterpreterv _ZN2at4_ops10as_strided4callERKNS_6TensorEN3c108ArrayRefINS5_6SymIntEEES8_NS5_8optionalIS7_EE PyObject_GetAttrString PyException_SetCause PyList_New PyObject_Str PyDict_GetItemWithError PyErr_Format PyUnicode_AsUTF8AndSize PyTuple_Size + /usr/lib/rpm/anolis/brp-mangle-shebangs *** WARNING: ./usr/src/debug/pytorch-2.0.1-4.an23.x86_64/third_party/miniz-2.1.0/miniz.c is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/pytorch-2.0.1-4.an23.x86_64/third_party/miniz-2.1.0/miniz.h is executable but has no shebang, removing executable bit + /usr/lib/rpm/anolis/remove-info-dir + /usr/lib/rpm/anolis/check-desktop-files + /usr/lib/rpm/anolis/brp-python-bytecompile '' 1 0 Bytecompiling .py files below /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10 using python3.10 Bytecompiling .py files below /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib/debug/usr/lib64/python3.10 using python3.10 + /usr/lib/rpm/anolis/brp-python-hardlink Processing files: pytorch-2.0.1-4.an23.x86_64 Executing(%doc): /bin/sh -e /var/tmp/rpm-tmp.QQUNwe + umask 022 + cd /builddir/build/BUILD + cd pytorch-v2.0.1 + DOCDIR=/builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/share/doc/pytorch + export LC_ALL=C + LC_ALL=C + export DOCDIR + /usr/bin/mkdir -p /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/share/doc/pytorch + cp -pr README.md /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/share/doc/pytorch + cp -pr CONTRIBUTING.md /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/share/doc/pytorch + RPM_EC=0 ++ jobs -p + exit 0 Executing(%license): /bin/sh -e /var/tmp/rpm-tmp.CGrW5x + umask 022 + cd /builddir/build/BUILD + cd pytorch-v2.0.1 + LICENSEDIR=/builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/share/licenses/pytorch + export LC_ALL=C + LC_ALL=C + export LICENSEDIR + /usr/bin/mkdir -p /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/share/licenses/pytorch + cp -pr LICENSE /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/share/licenses/pytorch + RPM_EC=0 ++ jobs -p + exit 0 warning: Duplicate build-ids /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/bin/protoc-3.13.0.0 and /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/bin/protoc Provides: libc10.so()(64bit) libc10_cuda.so()(64bit) libcaffe2_nvrtc.so()(64bit) libnvfuser_codegen.so()(64bit) libshm.so()(64bit) libtorch.so()(64bit) libtorch_cpu.so()(64bit) libtorch_cuda.so()(64bit) libtorch_cuda_linalg.so()(64bit) libtorch_global_deps.so()(64bit) libtorch_python.so()(64bit) python3.10dist(torch) = 2.0.1 python3dist(torch) = 2.0.1 pytorch = 2.0.1-4.an23 pytorch(x86-64) = 2.0.1-4.an23 pytorch-python3 = 2.0.1-4.an23 Requires(rpmlib): rpmlib(BuiltinLuaScripts) <= 4.2.2-1 rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PartialHardlinkSets) <= 4.0.4-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Requires: /usr/bin/python3 ld-linux-x86-64.so.2()(64bit) ld-linux-x86-64.so.2(GLIBC_2.3)(64bit) libc.so.6()(64bit) libc.so.6(GLIBC_2.10)(64bit) libc.so.6(GLIBC_2.11)(64bit) libc.so.6(GLIBC_2.14)(64bit) libc.so.6(GLIBC_2.15)(64bit) libc.so.6(GLIBC_2.16)(64bit) libc.so.6(GLIBC_2.17)(64bit) libc.so.6(GLIBC_2.2.5)(64bit) libc.so.6(GLIBC_2.28)(64bit) libc.so.6(GLIBC_2.3)(64bit) libc.so.6(GLIBC_2.3.2)(64bit) libc.so.6(GLIBC_2.3.4)(64bit) libc.so.6(GLIBC_2.32)(64bit) libc.so.6(GLIBC_2.33)(64bit) libc.so.6(GLIBC_2.34)(64bit) libc.so.6(GLIBC_2.4)(64bit) libc.so.6(GLIBC_2.6)(64bit) libc.so.6(GLIBC_2.7)(64bit) libc.so.6(GLIBC_2.9)(64bit) libc10.so()(64bit) libc10_cuda.so()(64bit) libcublas.so.12()(64bit) libcublas.so.12(libcublas.so.12)(64bit) libcublasLt.so.12()(64bit) libcublasLt.so.12(libcublasLt.so.12)(64bit) libcuda.so.1()(64bit) libcudart.so.12()(64bit) libcudart.so.12(libcudart.so.12)(64bit) libcudnn.so.8()(64bit) libcudnn.so.8(libcudnn.so.8)(64bit) libcufft.so.11()(64bit) libcufft.so.11(libcufft.so.11)(64bit) libcupti.so.12()(64bit) libcupti.so.12(libcupti.so.12)(64bit) libcurand.so.10()(64bit) libcusolver.so.11()(64bit) libcusolver.so.11(libcusolver.so.11)(64bit) libcusparse.so.12()(64bit) libcusparse.so.12(libcusparse.so.12)(64bit) libgcc_s.so.1()(64bit) libgcc_s.so.1(GCC_3.0)(64bit) libgomp.so.1()(64bit) libgomp.so.1(GOMP_1.0)(64bit) libgomp.so.1(GOMP_4.0)(64bit) libgomp.so.1(OMP_1.0)(64bit) libm.so.6()(64bit) libm.so.6(GLIBC_2.2.5)(64bit) libm.so.6(GLIBC_2.23)(64bit) libm.so.6(GLIBC_2.27)(64bit) libm.so.6(GLIBC_2.29)(64bit) libm.so.6(GLIBC_2.35)(64bit) libmagma.so.1()(64bit) libnuma.so.1()(64bit) libnuma.so.1(libnuma_1.1)(64bit) libnuma.so.1(libnuma_1.2)(64bit) libnvToolsExt.so.1()(64bit) libnvToolsExt.so.1(libnvToolsExt.so.1)(64bit) libnvfuser_codegen.so()(64bit) libnvrtc.so.12()(64bit) libnvrtc.so.12(libnvrtc.so.12)(64bit) libpython3.10.so.1.0()(64bit) libshm.so()(64bit) libstdc++.so.6()(64bit) libstdc++.so.6(CXXABI_1.3)(64bit) libstdc++.so.6(CXXABI_1.3.11)(64bit) libstdc++.so.6(CXXABI_1.3.13)(64bit) libstdc++.so.6(CXXABI_1.3.2)(64bit) libstdc++.so.6(CXXABI_1.3.3)(64bit) libstdc++.so.6(CXXABI_1.3.5)(64bit) libstdc++.so.6(CXXABI_1.3.7)(64bit) libstdc++.so.6(CXXABI_1.3.8)(64bit) libstdc++.so.6(CXXABI_1.3.9)(64bit) libstdc++.so.6(GLIBCXX_3.4)(64bit) libstdc++.so.6(GLIBCXX_3.4.11)(64bit) libstdc++.so.6(GLIBCXX_3.4.14)(64bit) libstdc++.so.6(GLIBCXX_3.4.15)(64bit) libstdc++.so.6(GLIBCXX_3.4.17)(64bit) libstdc++.so.6(GLIBCXX_3.4.18)(64bit) libstdc++.so.6(GLIBCXX_3.4.19)(64bit) libstdc++.so.6(GLIBCXX_3.4.20)(64bit) libstdc++.so.6(GLIBCXX_3.4.21)(64bit) libstdc++.so.6(GLIBCXX_3.4.22)(64bit) libstdc++.so.6(GLIBCXX_3.4.26)(64bit) libstdc++.so.6(GLIBCXX_3.4.29)(64bit) libstdc++.so.6(GLIBCXX_3.4.30)(64bit) libstdc++.so.6(GLIBCXX_3.4.5)(64bit) libstdc++.so.6(GLIBCXX_3.4.9)(64bit) libtorch.so()(64bit) libtorch_cpu.so()(64bit) libtorch_cuda.so()(64bit) libtorch_python.so()(64bit) python(abi) = 3.10 python3.10dist(filelock) python3.10dist(jinja2) python3.10dist(networkx) python3.10dist(sympy) python3.10dist(typing-extensions) rtld(GNU_HASH) Obsoletes: pytorch-python3 < 2.0.1-4.an23 Processing files: pytorch-devel-2.0.1-4.an23.x86_64 Executing(%license): /bin/sh -e /var/tmp/rpm-tmp.pW0kPn + umask 022 + cd /builddir/build/BUILD + cd pytorch-v2.0.1 + LICENSEDIR=/builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/share/licenses/pytorch-devel + export LC_ALL=C + LC_ALL=C + export LICENSEDIR + /usr/bin/mkdir -p /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/share/licenses/pytorch-devel + cp -pr LICENSE /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/share/licenses/pytorch-devel + RPM_EC=0 ++ jobs -p + exit 0 Provides: pytorch-devel = 2.0.1-4.an23 pytorch-devel(x86-64) = 2.0.1-4.an23 Requires(rpmlib): rpmlib(BuiltinLuaScripts) <= 4.2.2-1 rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Processing files: pytorch-debugsource-2.0.1-4.an23.x86_64 Provides: pytorch-debugsource = 2.0.1-4.an23 pytorch-debugsource(x86-64) = 2.0.1-4.an23 Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Processing files: pytorch-debuginfo-2.0.1-4.an23.x86_64 warning: Duplicate build-ids /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib/debug/usr/lib64/python3.10/site-packages/torch/bin/protoc-2.0.1-4.an23.x86_64.debug and /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib/debug/usr/lib64/python3.10/site-packages/torch/bin/protoc-3.13.0.0-2.0.1-4.an23.x86_64.debug Provides: debuginfo(build-id) = 051d9764827a3fb322322ab15a0511c0a0513a7d debuginfo(build-id) = 2835e4c0e5b7a9ba0eccfe91d1887e6d858efb95 debuginfo(build-id) = 349258781e2e45087bac0c7e7a47f800b35bf550 debuginfo(build-id) = 4317123937028b18ce869f027a8d8fe6ea133cfa debuginfo(build-id) = 620b967231b8e128216353cc2bee95318551e793 debuginfo(build-id) = 621c1bd9da97d497907c9727bfeb6d698e4a8f3d debuginfo(build-id) = 6774f77d278d89e40cf3703c17c6de2a5e1b8293 debuginfo(build-id) = 690fd0e75b534a5949c5198348c9ccb084e8c0c1 debuginfo(build-id) = 6c7768425836f1dc9062c3ee34ac2a80700e0a87 debuginfo(build-id) = 8dd6b0d4c882fdbc5313392c0cf508cebdbe55f1 debuginfo(build-id) = 8ea167d11410ce9ea47f217ef6c72c85d4a9b4a2 debuginfo(build-id) = 93f3920312c6146de4b6cf18aba8e009f7c66675 debuginfo(build-id) = a57d381f15f3acc7c19849e6b8b28ca89b5aa332 debuginfo(build-id) = a5cfc358e65f839eea5dc9bd9c942699ee10e045 debuginfo(build-id) = bd203590ed095c8c4f4121eb5867f56ac61f1ad9 debuginfo(build-id) = bdf65febdb79d07cfffe66e923a98535123efe76 debuginfo(build-id) = e82ad09a051fa77fc4ff437dee0421ea70475b10 debuginfo(build-id) = nilnil libc10.so-2.0.1-4.an23.x86_64.debug()(64bit) libc10_cuda.so-2.0.1-4.an23.x86_64.debug()(64bit) libcaffe2_nvrtc.so-2.0.1-4.an23.x86_64.debug()(64bit) libnvfuser_codegen.so-2.0.1-4.an23.x86_64.debug()(64bit) libshm.so-2.0.1-4.an23.x86_64.debug()(64bit) libtorch.so-2.0.1-4.an23.x86_64.debug()(64bit) libtorch_cpu.so-2.0.1-4.an23.x86_64.debug()(64bit) libtorch_cuda.so-2.0.1-4.an23.x86_64.debug()(64bit) libtorch_cuda_linalg.so-2.0.1-4.an23.x86_64.debug()(64bit) libtorch_global_deps.so-2.0.1-4.an23.x86_64.debug()(64bit) libtorch_python.so-2.0.1-4.an23.x86_64.debug()(64bit) pytorch-debuginfo = 2.0.1-4.an23 pytorch-debuginfo(x86-64) = 2.0.1-4.an23 Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Recommends: pytorch-debugsource(x86-64) = 2.0.1-4.an23 Checking for unpackaged file(s): /usr/lib/rpm/check-files /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64 Wrote: /builddir/build/RPMS/pytorch-devel-2.0.1-4.an23.x86_64.rpm Wrote: /builddir/build/RPMS/pytorch-debugsource-2.0.1-4.an23.x86_64.rpm Wrote: /builddir/build/RPMS/pytorch-2.0.1-4.an23.x86_64.rpm Wrote: /builddir/build/RPMS/pytorch-debuginfo-2.0.1-4.an23.x86_64.rpm RPM build warnings: %patchN is deprecated (1 usages found), use %patch N (or %patch -P N) Duplicate build-ids /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/bin/protoc-3.13.0.0 and /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib64/python3.10/site-packages/torch/bin/protoc Duplicate build-ids /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib/debug/usr/lib64/python3.10/site-packages/torch/bin/protoc-2.0.1-4.an23.x86_64.debug and /builddir/build/BUILDROOT/pytorch-2.0.1-4.an23.x86_64/usr/lib/debug/usr/lib64/python3.10/site-packages/torch/bin/protoc-3.13.0.0-2.0.1-4.an23.x86_64.debug Child return code was: 0